org.botlibre.thought.language

Class Language

java.lang.Object

org.botlibre.thought.BasicThought

org.botlibre.thought.language.Language

All Implemented Interfaces:

Thought

public class Language
extends BasicThought

Processes words to determine meaning and response.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	Language.CorrectionMode Defines who the bot will allow corrections from.
static class	Language.LanguageState Defines the various language conversational states.
static class	Language.LearningMode Defines who the bot will learn from.

Field Summary

Fields

Modifier and Type	Field and Description
int	confidence
static float	CONVERSATION_MATCH_PERCENTAGE
static int	COVERSATIONAL_RESPONSE_DELAY
int	defaultResponses
static float	DISCUSSION_MATCH_PERCENTAGE
static int	MAX_DEPTH
static int	MAX_FILE_SIZE
static int	MAX_PROCCESS_TIME
static int	MAX_RESPONSE_PROCESS
static int	MAX_STACK
static int	MAX_STATE_PROCESS
static boolean	PROCESS_HTTP
float	sentiment

Constructor Summary

Constructors

Constructor and Description
Language() Create a new thought.

Method Summary

Modifier and Type	Method and Description
static boolean	addCorrection(Vertex originalQuestionInput, Vertex originalQuestion, Vertex wrongResponseInput, Vertex correction, Vertex previousQuestionInput, Network network) Add the sentence from the previous input to the relationships response meta info.
void	addQuestionMatches(Vertex sentence, Network network, long startTime, long processTime, java.util.List<Relationship> wordRelations, java.util.Map<Vertex,java.lang.Integer> matches, java.util.Map<Vertex,java.util.Set<Vertex>> processed, Primitive key, boolean keywords) Add all of the questions for all of the words to the matching map.
static void	addResponse(Vertex question, Vertex answer, Network network) Add the new response.
static void	addResponse(Vertex question, Vertex answer, java.lang.String topic, java.lang.String keywords, java.lang.String required, float correctness, Network network) Add the new response.
static void	addResponse(Vertex question, Vertex answer, java.lang.String topic, java.lang.String keywords, java.lang.String required, Network network) Add the new response.
static void	addSentenceActionMeta(Vertex question, Vertex answer, java.lang.String actions, Network network) Add the actions to the response.
static void	addSentenceCommandMeta(Vertex question, Vertex answer, java.lang.String command, boolean pin, Network network) Add the command as the command for a response match to the question meta.
static void	addSentenceConditionMeta(Vertex question, Vertex answer, java.lang.String condition, boolean pin, Network network) Add the script as the condition for a response match to the question meta.
static void	addSentenceEmotesMeta(Vertex question, Vertex answer, java.lang.String emotes, Network network) Add the emotes to the response.
static void	addSentenceKeyWordsMeta(Vertex question, Vertex answer, java.lang.String keywords, Network network) Add the keywords as required keywords for a response match to the question meta.
static void	addSentencePoseMeta(Vertex question, Vertex answer, java.lang.String poses, Network network) Add the actions to the response.
static void	addSentencePreviousMeta(Relationship relationship, Vertex previousQuestionInput, Network network) Add the sentence from the previous input to the relationships response meta info.
static void	addSentencePreviousMeta(Vertex question, Vertex answer, Vertex previous, boolean require, Network network) Add the previous for a response match to the question meta.
static void	addSentenceRequiredMeta(Vertex question, Vertex answer, java.lang.String required, Network network) Add the keywords as required keywords for a response match to the question meta.
static void	addSentenceThinkMeta(Vertex question, Vertex answer, java.lang.String think, boolean pin, Network network) Add the script as the think for a response match to the question meta.
static void	addSentenceTopicMeta(Vertex question, Vertex answer, java.lang.String topic, Network network) Add the topic as a desired topic for a response match to the question meta.
static void	addToConversation(Vertex input, Vertex conversation) Add the input to the conversation.
Vertex	allowCorrection(Vertex source, Vertex user) Self API for checking is a user is trusted and should allow correction.
void	awake() Perform any initialization required on startup.
Vertex[]	bestAnswer(float percentage, Vertex state, java.util.Map<Vertex,Vertex> localVariables, Vertex input, Vertex sentence, Network network) Return the best response to the question, taking into account the input history.
Relationship	bestResponse(float percentage, Vertex input, Vertex sentence, Vertex question, Vertex previousResponse, boolean cascade, boolean init, Vertex previousQuestion, java.util.Set<java.lang.String> questionWords, Vertex currentTopic, java.util.Map<Vertex,Vertex> variables, Network network) Return the best response to the question, taking into account the input history.
Relationship	bestResponse(float percentage, Vertex input, Vertex sentence, Vertex question, Vertex previousResponse, java.util.Map<Vertex,Vertex> variables, Network network) Return the best response to the question, taking into account the input history.
static Vertex	buildStar(java.util.List<Vertex> star, java.util.Map<Vertex,Vertex> variables, Network network)
void	checkBetterMatch(java.util.Map.Entry<Vertex,java.lang.Integer> entry, java.util.Map<Vertex,java.lang.Integer> keyWordsMatches, java.lang.Object[] best, int tooBig, int tooSmall, int wordCount, float percentage, Vertex input, Vertex sentence, Vertex question, Vertex previousResponse, boolean cascade, boolean init, Vertex previousQuestion, java.util.Set<java.lang.String> questionWords, Vertex currentTopic, java.util.Map<Vertex,Vertex> variables, Network network)
java.lang.Boolean	checkCondition(Relationship relationship, java.util.Map<Vertex,Vertex> variables, Network network) Check if the response has a condition, and if it evaluates to true.
Vertex	checkDefaultResponseFormula(Vertex response, Vertex input, Network network, java.util.Map<Vertex,Vertex> variables)
Vertex	checkDuplicateOrOffensiveResponse(Vertex response, Vertex sentence, Vertex conversation, Vertex input, java.util.Map<Vertex,Vertex> variables, Network network, boolean allowMatch, boolean checkUnderstanding) Check if the previous response was the same and try to find a new one.
Vertex	checkOnRepeat(Vertex response, Vertex conversation, int depth) Check if the response has already been used, and if it has an ONREPEAT response.
void	checkQuestion(Vertex sentence, Network network) Mark the sentence as a question.
Vertex	checkState(Vertex root, Vertex input, Vertex sentence, java.util.List<Vertex> states, int index, int recurse, java.util.List<Vertex> inputs, java.util.Map<Vertex,Vertex> variables, java.util.List<Vertex> stateStack, float correctnessRequired, Network network) Apply each state machine vertex to the sentence of words.
static void	clearSentenceMeta(Vertex question, Vertex answer, Primitive type, Network network) Clear any relations in the meta of the type.
java.util.Map<Primitive,java.lang.Object>	clearVoiceProperties()
int	computeMaxSentenceValue(Vertex match, Vertex original, Network network) Compute the real value of the sentence.
int	computeWordValue(Vertex word) Return the matching value for the word, some word types are worth more than others.
Vertex	createSentenceText(Vertex vertex, Network network) Create the text for the sentence.
Vertex	define(Vertex source, Vertex word, Vertex meaning) Self API to define a word.
Vertex	details(Vertex source, Vertex object) Self API to print the details of an object.
Vertex	evaluateAnswerResponse(Vertex answer, Vertex state, java.util.Map<Vertex,Vertex> localVariables, Network network) Evaluate the quotient and possible formula response.
Vertex	evaluateFormula(Vertex formula, java.util.Map<Vertex,Vertex> variables, Network network) Evaluate the sentence formula/template in the context of the input.
Vertex	evaluateFormulaTemplate(Vertex formula, java.util.Map<Vertex,Vertex> variables, long startTime, Network network) Evaluate the sentence formula/template in the context of the input.
static boolean	evaluatePattern(Vertex pattern, Vertex sentence, Primitive variable, java.util.Map<Vertex,Vertex> variables, Network network) Determine if the pattern matches the sentence.
static boolean	evaluatePattern(Vertex pattern, Vertex sentence, Primitive variable, java.util.Map<Vertex,Vertex> variables, Network network, java.util.List<Vertex> elements, java.util.List<Vertex> words, int wildcardSkip) Determine if the pattern matches the sentence.
Relationship	findResponseMatch(Vertex sentence, Vertex previousResponse, Vertex input, java.util.Map<Vertex,Vertex> variables, Network network, float percentage) Find the best match for the sentence.
java.lang.Boolean	getAllowLearning()
boolean	getCheckExactMatchFirst()
float	getConversationMatchPercentage()
Language.CorrectionMode	getCorrectionMode()
Vertex	getDefaultResponse(java.util.List<Relationship> defaultResponses, Vertex input, Vertex sentence, Vertex conversation, java.util.Map<Vertex,Vertex> variables, Network network) Return a random default response for the topic or context.
float	getDiscussionMatchPercentage()
boolean	getEnableEmote()
boolean	getEnableResponseMatch()
boolean	getFixFormulaCase()
java.lang.String	getLanguage()
Vertex	getLastInput(Vertex source, Vertex conversation, Vertex speaker) Self API to access last input of a speaker.
Vertex	getLastInput(Vertex source, Vertex conversation, Vertex speaker, Vertex index) Self API to access last input of a speaker.
Vertex	getLastInput(Vertex source, Vertex conversation, Vertex speaker, Vertex index, Vertex part) Self API to access last input of a speaker.
Vertex	getLastInputInConversation(Vertex conversation, Vertex speaker, int last) Return the last thing the speaker said in the conversation.
Vertex	getLastQuotient(Network network)
Vertex	getLastState(Network network)
Vertex	getLastStateMachine(Network network)
boolean	getLearnGrammar()
Language.LearningMode	getLearningMode()
float	getLearningRate()
int	getMaxResponseMatchProcess()
int	getMaxStateProcess()
boolean	getReduceQuestions()
boolean	getSplitParagraphs()
boolean	getSynthesizeResponse()
Vertex	getWord(Vertex vertex, Network network) Return the sentence or word for the vertex.
static Vertex	getWordFollowing(Vertex vertex, Relationship relationship, Vertex previousWord, Vertex nextWord, Network network) Return the sentence or word for the vertex.
static Vertex	getWordFollowing(Vertex vertex, Vertex previousWord, Vertex nextWord, Network network) Return the sentence or word for the vertex.
boolean	hasPrevious(Vertex meta, Vertex sentence, Vertex state, java.util.Map<Vertex,Vertex> localVariables, Network network) Return the best response to the question, taking into account the input history.
java.util.List<Vertex>	importHTML(java.lang.String url, java.lang.String xpath, java.lang.String learningMode, Network network) Attempt to import and learn new responses from a website.
Vertex	input(Vertex input, Vertex sentence, java.util.Map<Vertex,Vertex> variables, Network network) Process the input and return the response.
static Vertex	invertWordCase(Vertex word, Network network)
static boolean	isPunctuation(Vertex word)
Vertex	keywordIndexes(Vertex source, Vertex text, Vertex keywords) Self API to return an array of word indexes.
Vertex	learn(Vertex source, Vertex question, Vertex response) Self API for learning a new response.
Vertex	learn(Vertex source, Vertex question, Vertex response, Vertex topic) Self API for learning a new response.
void	loadAIML(java.lang.String text, java.lang.String name, boolean createStates, boolean mergeState, boolean indexStatic) Load, parse, the aiml file as a state machine.
void	loadAIMLAsLog(java.lang.String text, boolean pin) Load, parse, the aiml as a chat log.
void	loadAIMLFile(java.io.File file, boolean createStates, boolean indexStatic, java.lang.String encoding) Load, parse, the aiml file as a script.
void	loadAIMLFile(java.io.InputStream stream, java.lang.String name, boolean createStates, boolean mergeState, boolean indexStatic, java.lang.String encoding, int maxSize) Load, parse, the aiml file as a state machine.
void	loadAIMLFileAsLog(java.io.File file, java.lang.String encoding, boolean pin) Load, parse, the aiml file as a chat log.
void	loadAIMLFileAsLog(java.io.InputStream stream, java.lang.String encoding, int maxSize, boolean pin) Load, parse, the aiml file as a chat log.
void	loadSelf(java.lang.String text, boolean debug, boolean optimize) Load, compile, and add the state machine from the Self source code.
void	loadSelfFile(java.io.File file, java.lang.String encoding, boolean debug) Load, compile, and add the state machine from the .self file.
void	loadSelfFile(java.io.InputStream stream, java.lang.String encoding, int maxSize, boolean debug, boolean optimize) Load, compile, and add the state machine from the .self file stream.
void	loadSelfFile(java.net.URL url, java.lang.String encoding, boolean debug) Load, compile, and add the state machine from the .self file.
Relationship	matchPattern(Vertex sentence, Vertex previousResponse, Vertex input, java.util.Map<Vertex,Vertex> variables, Network network, float percentage) Find the best pattern that matches the sentence.
void	migrateProperties() Migrate to new properties system.
Vertex	paragraph(Vertex source, Vertex text) Self API to create a paragraph.
void	pool() Reset state when instance is pooled.
static java.lang.String	printFragment(Vertex fragment, Vertex previousWord, Vertex nextWord, Network network)
Vertex	processAssociation(Vertex text, Network network) Associate the word to the current context selection.
java.util.List<Vertex>	processCompoundWords(java.util.List<Relationship> words) Transform the list of words, into a list of compound words.
Vertex	processConversational(Vertex input, Vertex sentence, Vertex conversation, java.util.Map<Vertex,Vertex> variables, Network network, Language.LanguageState state) Process the conversational sentence.
Vertex	processCorrection(Vertex input, Vertex correction, Vertex speaker, Vertex target, Vertex conversation, Network network) Process the correction to the last question.
Vertex	processDiscussion(Vertex input, Vertex sentence, Vertex conversation, java.util.Map<Vertex,Vertex> variables, Network network) Process the discussion sentence.
Vertex	processGreeting(Vertex input, Vertex conversation, Network network, Language.LanguageState state, java.util.Map<Vertex,Vertex> variables) Process the start of a new conversation and output the greeting.
void	processHttp(Vertex sentence, Network network) Lookup any urls in the text.
Vertex	processListening(Vertex input, Vertex sentence, Vertex speaker, Vertex conversation, java.util.List<Relationship> targets, Network network, Language.LanguageState state) Associate the response, attempt to understand.
void	processOffensive(Vertex input, Vertex speaker, Vertex target, Vertex conversation, Network network) Process a offensive response.
Vertex	processUnderstanding(Vertex input, Vertex sentence, float correctnessRequired, java.util.Map<Vertex,Vertex> variables, Network network) Attempt to understand the sentence using state machines.
Vertex	randomSynthesize(Vertex source) Self API for synthesizing a new response.
Vertex	randomSynthesize(Vertex source, Vertex phrase) Self API for synthesizing a new response from a phrase.
void	recordPatternValues(Vertex word, Vertex sentence, java.util.Map<Vertex,java.lang.Integer> matches, Network network, java.util.List<Vertex> defer) Add all of the patterns for the word with its value.
void	recordSetenceValues(Vertex word, Vertex originalWord, java.util.Collection<Relationship> relationships, int value, Vertex sentence, java.util.Map<Vertex,java.lang.Integer> matches, java.util.Map<Vertex,java.util.Set<Vertex>> processed, Network network, java.util.List<Vertex> defer) Add all of the sentences for the word with its value.
static void	recordStar(java.util.List<java.util.List<Vertex>> star, Primitive variable, java.util.Map<Vertex,Vertex> variables, Network network)
static void	removeSentencePreviousMeta(Relationship relationship, Vertex previousQuestionInput, Network network) Remove the sentence from the previous input to the relationships response meta info.
void	saveProperties()
Vertex	sentence(Vertex source, Vertex[] arguments) Self API to create a sentence.
void	setAllowLearning(java.lang.Boolean allowLearning)
void	setCheckExactMatchFirst(boolean checkExactMatchFirst)
void	setConversationMatchPercentage(float conversationMatchPercentage)
void	setCorrectionMode(Language.CorrectionMode correctionMode)
void	setDiscussionMatchPercentage(float discussionMatchPercentage)
void	setEnableEmote(boolean enableEmote)
void	setEnableResponseMatch(boolean enableResponseMatch)
void	setFixFormulaCase(boolean fixFormulaCase)
void	setLanguage(java.lang.String language)
void	setLastQuotient(Vertex lastQuotient)
void	setLastState(Vertex lastState)
void	setLastStateMachine(Vertex lastStateMachine)
void	setLearnGrammar(boolean learnGrammar)
void	setLearningMode(Language.LearningMode learningMode)
void	setLearningRate(float learningRate)
void	setMaxResponseMatchProcess(int maxResponseMatchProcess)
void	setMaxStateProcess(int maxStateProcess)
void	setReduceQuestions(boolean reduceQuestions)
void	setSplitParagraphs(boolean splitParagraphs)
void	setSynthesizeResponse(boolean synthesizeResponse)
boolean	shouldCorrect(Vertex input, Vertex speaker) Return if learning should be used for the input.
boolean	shouldLearn(Vertex input, Vertex speaker) Return if learning should be used for the input.
void	stop() Stop analysing network.
Vertex	synthesize(Vertex source) Self API for synthesizing a new response.
Vertex	synthesize(Vertex source, Vertex phrase) Self API for synthesizing a new response from a phrase.
Vertex	synthesizeResponse(Vertex input, Vertex sentence, Vertex conversation, boolean random, java.util.Map<Vertex,Vertex> variables, Network network) Return a synthesized response from linguistic patterns.
void	think() Analyse the active memory for language.
Vertex	word(Vertex source, Vertex[] arguments) Self API to create a compound word.

Methods inherited from class org.botlibre.thought.BasicThought

getBot, getName, getPrimitive, getShortTermMemory, initialize, isConscious, isCritical, isEnabled, isStopped, log, log, setBot, setEnabled, setName, setStopped, toString

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

CONVERSATION_MATCH_PERCENTAGE

public static float CONVERSATION_MATCH_PERCENTAGE

DISCUSSION_MATCH_PERCENTAGE

public static float DISCUSSION_MATCH_PERCENTAGE

COVERSATIONAL_RESPONSE_DELAY

public static int COVERSATIONAL_RESPONSE_DELAY

MAX_PROCCESS_TIME

public static int MAX_PROCCESS_TIME

MAX_STATE_PROCESS

public static int MAX_STATE_PROCESS

MAX_RESPONSE_PROCESS

public static int MAX_RESPONSE_PROCESS

MAX_FILE_SIZE

public static int MAX_FILE_SIZE

MAX_DEPTH

public static int MAX_DEPTH

MAX_STACK

public static int MAX_STACK

PROCESS_HTTP

public static boolean PROCESS_HTTP

defaultResponses

public int defaultResponses

confidence

public int confidence

sentiment

public float sentiment

Constructor Detail

Language

public Language()

Create a new thought.

Method Detail

addToConversation

public static void addToConversation(Vertex input,
                                     Vertex conversation)

Add the input to the conversation.

addSentencePreviousMeta

public static void addSentencePreviousMeta(Relationship relationship,
                                           Vertex previousQuestionInput,
                                           Network network)

Add the sentence from the previous input to the relationships response meta info.

addSentenceKeyWordsMeta

public static void addSentenceKeyWordsMeta(Vertex question,
                                           Vertex answer,
                                           java.lang.String keywords,
                                           Network network)

Add the keywords as required keywords for a response match to the question meta.

addSentenceEmotesMeta

public static void addSentenceEmotesMeta(Vertex question,
                                         Vertex answer,
                                         java.lang.String emotes,
                                         Network network)

Add the emotes to the response.

addSentenceActionMeta

public static void addSentenceActionMeta(Vertex question,
                                         Vertex answer,
                                         java.lang.String actions,
                                         Network network)

Add the actions to the response.

addSentencePoseMeta

public static void addSentencePoseMeta(Vertex question,
                                       Vertex answer,
                                       java.lang.String poses,
                                       Network network)

Add the actions to the response.

addSentencePreviousMeta

public static void addSentencePreviousMeta(Vertex question,
                                           Vertex answer,
                                           Vertex previous,
                                           boolean require,
                                           Network network)

Add the previous for a response match to the question meta.

addSentenceRequiredMeta

public static void addSentenceRequiredMeta(Vertex question,
                                           Vertex answer,
                                           java.lang.String required,
                                           Network network)

Add the keywords as required keywords for a response match to the question meta.

addSentenceTopicMeta

public static void addSentenceTopicMeta(Vertex question,
                                        Vertex answer,
                                        java.lang.String topic,
                                        Network network)

Add the topic as a desired topic for a response match to the question meta.

addResponse

public static void addResponse(Vertex question,
                               Vertex answer,
                               Network network)

Add the new response.

addResponse

public static void addResponse(Vertex question,
                               Vertex answer,
                               java.lang.String topic,
                               java.lang.String keywords,
                               java.lang.String required,
                               Network network)

Add the new response.

addResponse

public static void addResponse(Vertex question,
                               Vertex answer,
                               java.lang.String topic,
                               java.lang.String keywords,
                               java.lang.String required,
                               float correctness,
                               Network network)

Add the new response.

addSentenceCommandMeta

public static void addSentenceCommandMeta(Vertex question,
                                          Vertex answer,
                                          java.lang.String command,
                                          boolean pin,
                                          Network network)

Add the command as the command for a response match to the question meta.

addSentenceThinkMeta

public static void addSentenceThinkMeta(Vertex question,
                                        Vertex answer,
                                        java.lang.String think,
                                        boolean pin,
                                        Network network)

Add the script as the think for a response match to the question meta.

addSentenceConditionMeta

public static void addSentenceConditionMeta(Vertex question,
                                            Vertex answer,
                                            java.lang.String condition,
                                            boolean pin,
                                            Network network)

Add the script as the condition for a response match to the question meta.

clearSentenceMeta

public static void clearSentenceMeta(Vertex question,
                                     Vertex answer,
                                     Primitive type,
                                     Network network)

Clear any relations in the meta of the type.

addCorrection

public static boolean addCorrection(Vertex originalQuestionInput,
                                    Vertex originalQuestion,
                                    Vertex wrongResponseInput,
                                    Vertex correction,
                                    Vertex previousQuestionInput,
                                    Network network)

Add the sentence from the previous input to the relationships response meta info.

removeSentencePreviousMeta

public static void removeSentencePreviousMeta(Relationship relationship,
                                              Vertex previousQuestionInput,
                                              Network network)

Remove the sentence from the previous input to the relationships response meta info.

awake

public void awake()

Description copied from class: BasicThought

Perform any initialization required on startup.

Specified by:

awake in interface Thought

Overrides:

awake in class BasicThought

migrateProperties

public void migrateProperties()

Migrate to new properties system.

Specified by:

migrateProperties in interface Thought

Overrides:

migrateProperties in class BasicThought

getCorrectionMode

public Language.CorrectionMode getCorrectionMode()

setCorrectionMode

public void setCorrectionMode(Language.CorrectionMode correctionMode)

getLearningMode

public Language.LearningMode getLearningMode()

setLearningMode

public void setLearningMode(Language.LearningMode learningMode)

getEnableResponseMatch

public boolean getEnableResponseMatch()

setEnableResponseMatch

public void setEnableResponseMatch(boolean enableResponseMatch)

getCheckExactMatchFirst

public boolean getCheckExactMatchFirst()

setCheckExactMatchFirst

public void setCheckExactMatchFirst(boolean checkExactMatchFirst)

getConversationMatchPercentage

public float getConversationMatchPercentage()

setConversationMatchPercentage

public void setConversationMatchPercentage(float conversationMatchPercentage)

getSynthesizeResponse

public boolean getSynthesizeResponse()

setSynthesizeResponse

public void setSynthesizeResponse(boolean synthesizeResponse)

getLearningRate

public float getLearningRate()

setLearningRate

public void setLearningRate(float learningRate)

getDiscussionMatchPercentage

public float getDiscussionMatchPercentage()

setDiscussionMatchPercentage

public void setDiscussionMatchPercentage(float discussionMatchPercentage)

getMaxStateProcess

public int getMaxStateProcess()

setMaxStateProcess

public void setMaxStateProcess(int maxStateProcess)

getMaxResponseMatchProcess

public int getMaxResponseMatchProcess()

setMaxResponseMatchProcess

public void setMaxResponseMatchProcess(int maxResponseMatchProcess)

getReduceQuestions

public boolean getReduceQuestions()

setReduceQuestions

public void setReduceQuestions(boolean reduceQuestions)

getFixFormulaCase

public boolean getFixFormulaCase()

setFixFormulaCase

public void setFixFormulaCase(boolean fixFormulaCase)

getLearnGrammar

public boolean getLearnGrammar()

setLearnGrammar

public void setLearnGrammar(boolean learnGrammar)

saveProperties

public void saveProperties()

Specified by:

saveProperties in interface Thought

Overrides:

saveProperties in class BasicThought

clearVoiceProperties

public java.util.Map<Primitive,java.lang.Object> clearVoiceProperties()

stop

public void stop()

Stop analysing network.

Specified by:

stop in interface Thought

Overrides:

stop in class BasicThought

pool

public void pool()

Reset state when instance is pooled.

Specified by:

pool in interface Thought

Overrides:

pool in class BasicThought

getAllowLearning

public java.lang.Boolean getAllowLearning()

setAllowLearning

public void setAllowLearning(java.lang.Boolean allowLearning)

getSplitParagraphs

public boolean getSplitParagraphs()

setSplitParagraphs

public void setSplitParagraphs(boolean splitParagraphs)

think

public void think()

Analyse the active memory for language.

Specified by:

think in interface Thought

Overrides:

think in class BasicThought

input

public Vertex input(Vertex input,
                    Vertex sentence,
                    java.util.Map<Vertex,Vertex> variables,
                    Network network)

Process the input and return the response.

evaluateFormula

public Vertex evaluateFormula(Vertex formula,
                              java.util.Map<Vertex,Vertex> variables,
                              Network network)

Evaluate the sentence formula/template in the context of the input.

evaluateFormulaTemplate

public Vertex evaluateFormulaTemplate(Vertex formula,
                                      java.util.Map<Vertex,Vertex> variables,
                                      long startTime,
                                      Network network)

Evaluate the sentence formula/template in the context of the input.

evaluatePattern

public static boolean evaluatePattern(Vertex pattern,
                                      Vertex sentence,
                                      Primitive variable,
                                      java.util.Map<Vertex,Vertex> variables,
                                      Network network)

Determine if the pattern matches the sentence.

isPunctuation

public static boolean isPunctuation(Vertex word)

evaluatePattern

public static boolean evaluatePattern(Vertex pattern,
                                      Vertex sentence,
                                      Primitive variable,
                                      java.util.Map<Vertex,Vertex> variables,
                                      Network network,
                                      java.util.List<Vertex> elements,
                                      java.util.List<Vertex> words,
                                      int wildcardSkip)

Determine if the pattern matches the sentence.

recordStar

public static void recordStar(java.util.List<java.util.List<Vertex>> star,
                              Primitive variable,
                              java.util.Map<Vertex,Vertex> variables,
                              Network network)

buildStar

public static Vertex buildStar(java.util.List<Vertex> star,
                               java.util.Map<Vertex,Vertex> variables,
                               Network network)

processAssociation

public Vertex processAssociation(Vertex text,
                                 Network network)

Associate the word to the current context selection.

checkQuestion

public void checkQuestion(Vertex sentence,
                          Network network)

Mark the sentence as a question.

processHttp

public void processHttp(Vertex sentence,
                        Network network)

Lookup any urls in the text.

processCorrection

public Vertex processCorrection(Vertex input,
                                Vertex correction,
                                Vertex speaker,
                                Vertex target,
                                Vertex conversation,
                                Network network)

Process the correction to the last question.

processOffensive

public void processOffensive(Vertex input,
                             Vertex speaker,
                             Vertex target,
                             Vertex conversation,
                             Network network)

Process a offensive response. Remove the sentence.

processDiscussion

public Vertex processDiscussion(Vertex input,
                                Vertex sentence,
                                Vertex conversation,
                                java.util.Map<Vertex,Vertex> variables,
                                Network network)

Process the discussion sentence. Only response if a question and understood, or has an exact known response.

checkOnRepeat

public Vertex checkOnRepeat(Vertex response,
                            Vertex conversation,
                            int depth)

Check if the response has already been used, and if it has an ONREPEAT response.

checkDuplicateOrOffensiveResponse

public Vertex checkDuplicateOrOffensiveResponse(Vertex response,
                                                Vertex sentence,
                                                Vertex conversation,
                                                Vertex input,
                                                java.util.Map<Vertex,Vertex> variables,
                                                Network network,
                                                boolean allowMatch,
                                                boolean checkUnderstanding)

Check if the previous response was the same and try to find a new one.

bestResponse

public Relationship bestResponse(float percentage,
                                 Vertex input,
                                 Vertex sentence,
                                 Vertex question,
                                 Vertex previousResponse,
                                 java.util.Map<Vertex,Vertex> variables,
                                 Network network)

Return the best response to the question, taking into account the input history.

bestResponse

public Relationship bestResponse(float percentage,
                                 Vertex input,
                                 Vertex sentence,
                                 Vertex question,
                                 Vertex previousResponse,
                                 boolean cascade,
                                 boolean init,
                                 Vertex previousQuestion,
                                 java.util.Set<java.lang.String> questionWords,
                                 Vertex currentTopic,
                                 java.util.Map<Vertex,Vertex> variables,
                                 Network network)

Return the best response to the question, taking into account the input history.

processGreeting

public Vertex processGreeting(Vertex input,
                              Vertex conversation,
                              Network network,
                              Language.LanguageState state,
                              java.util.Map<Vertex,Vertex> variables)

Process the start of a new conversation and output the greeting.

processConversational

public Vertex processConversational(Vertex input,
                                    Vertex sentence,
                                    Vertex conversation,
                                    java.util.Map<Vertex,Vertex> variables,
                                    Network network,
                                    Language.LanguageState state)

Process the conversational sentence. Try to understand, otherwise, determine the best know response, if there is no known response, then resort to mimicry.

synthesizeResponse

public Vertex synthesizeResponse(Vertex input,
                                 Vertex sentence,
                                 Vertex conversation,
                                 boolean random,
                                 java.util.Map<Vertex,Vertex> variables,
                                 Network network)

Return a synthesized response from linguistic patterns.

checkCondition

public java.lang.Boolean checkCondition(Relationship relationship,
                                        java.util.Map<Vertex,Vertex> variables,
                                        Network network)

Check if the response has a condition, and if it evaluates to true.

getDefaultResponse

public Vertex getDefaultResponse(java.util.List<Relationship> defaultResponses,
                                 Vertex input,
                                 Vertex sentence,
                                 Vertex conversation,
                                 java.util.Map<Vertex,Vertex> variables,
                                 Network network)

Return a random default response for the topic or context.

checkDefaultResponseFormula

public Vertex checkDefaultResponseFormula(Vertex response,
                                          Vertex input,
                                          Network network,
                                          java.util.Map<Vertex,Vertex> variables)

importHTML

public java.util.List<Vertex> importHTML(java.lang.String url,
                                         java.lang.String xpath,
                                         java.lang.String learningMode,
                                         Network network)

Attempt to import and learn new responses from a website.

getLastInputInConversation

public Vertex getLastInputInConversation(Vertex conversation,
                                         Vertex speaker,
                                         int last)

Return the last thing the speaker said in the conversation.

shouldLearn

public boolean shouldLearn(Vertex input,
                           Vertex speaker)

Return if learning should be used for the input.

shouldCorrect

public boolean shouldCorrect(Vertex input,
                             Vertex speaker)

Return if learning should be used for the input.

allowCorrection

public Vertex allowCorrection(Vertex source,
                              Vertex user)

Self API for checking is a user is trusted and should allow correction.

learn

public Vertex learn(Vertex source,
                    Vertex question,
                    Vertex response)

Self API for learning a new response.

learn

public Vertex learn(Vertex source,
                    Vertex question,
                    Vertex response,
                    Vertex topic)

Self API for learning a new response.

synthesize

public Vertex synthesize(Vertex source,
                         Vertex phrase)

Self API for synthesizing a new response from a phrase.

synthesize

public Vertex synthesize(Vertex source)

Self API for synthesizing a new response.

randomSynthesize

public Vertex randomSynthesize(Vertex source,
                               Vertex phrase)

Self API for synthesizing a new response from a phrase.

randomSynthesize

public Vertex randomSynthesize(Vertex source)

Self API for synthesizing a new response.

keywordIndexes

public Vertex keywordIndexes(Vertex source,
                             Vertex text,
                             Vertex keywords)

Self API to return an array of word indexes.

details

public Vertex details(Vertex source,
                      Vertex object)

Self API to print the details of an object.

word

public Vertex word(Vertex source,
                   Vertex[] arguments)

Self API to create a compound word. Language.word("very", "nice") Create a compound word from the arguments.

define

public Vertex define(Vertex source,
                     Vertex word,
                     Vertex meaning)

Self API to define a word. Language.define("hello", #hello)

sentence

public Vertex sentence(Vertex source,
                       Vertex[] arguments)

Self API to create a sentence. Language.sentence("hello", "world") Create a sentence from the arguments.

paragraph

public Vertex paragraph(Vertex source,
                        Vertex text)

Self API to create a paragraph. Language.paragraph("hello. How are you?") Parse the text into a paragraph object.

getLastInput

public Vertex getLastInput(Vertex source,
                           Vertex conversation,
                           Vertex speaker)

Self API to access last input of a speaker. Language.getLastInput(speaker) Get the last input from the conversation for the speaker.

getLastInput

public Vertex getLastInput(Vertex source,
                           Vertex conversation,
                           Vertex speaker,
                           Vertex index)

Self API to access last input of a speaker. Language.getLastInput(speaker, 1) Get the last input from the conversation for the speaker.

getLastInput

public Vertex getLastInput(Vertex source,
                           Vertex conversation,
                           Vertex speaker,
                           Vertex index,
                           Vertex part)

Self API to access last input of a speaker. Language.getLastInput(speaker, 1, 2) Get the last input from the conversation for the speaker.

processListening

public Vertex processListening(Vertex input,
                               Vertex sentence,
                               Vertex speaker,
                               Vertex conversation,
                               java.util.List<Relationship> targets,
                               Network network,
                               Language.LanguageState state)

Associate the response, attempt to understand.

computeMaxSentenceValue

public int computeMaxSentenceValue(Vertex match,
                                   Vertex original,
                                   Network network)

Compute the real value of the sentence.

computeWordValue

public int computeWordValue(Vertex word)

Return the matching value for the word, some word types are worth more than others.

recordSetenceValues

public void recordSetenceValues(Vertex word,
                                Vertex originalWord,
                                java.util.Collection<Relationship> relationships,
                                int value,
                                Vertex sentence,
                                java.util.Map<Vertex,java.lang.Integer> matches,
                                java.util.Map<Vertex,java.util.Set<Vertex>> processed,
                                Network network,
                                java.util.List<Vertex> defer)

Add all of the sentences for the word with its value.

recordPatternValues

public void recordPatternValues(Vertex word,
                                Vertex sentence,
                                java.util.Map<Vertex,java.lang.Integer> matches,
                                Network network,
                                java.util.List<Vertex> defer)

Add all of the patterns for the word with its value.

invertWordCase

public static Vertex invertWordCase(Vertex word,
                                    Network network)

addQuestionMatches

public void addQuestionMatches(Vertex sentence,
                               Network network,
                               long startTime,
                               long processTime,
                               java.util.List<Relationship> wordRelations,
                               java.util.Map<Vertex,java.lang.Integer> matches,
                               java.util.Map<Vertex,java.util.Set<Vertex>> processed,
                               Primitive key,
                               boolean keywords)

Add all of the questions for all of the words to the matching map.

findResponseMatch

public Relationship findResponseMatch(Vertex sentence,
                                      Vertex previousResponse,
                                      Vertex input,
                                      java.util.Map<Vertex,Vertex> variables,
                                      Network network,
                                      float percentage)

Find the best match for the sentence. Traverse its words to find other sentences they are used in, and pick other sentence with the most words in common.

checkBetterMatch

public void checkBetterMatch(java.util.Map.Entry<Vertex,java.lang.Integer> entry,
                             java.util.Map<Vertex,java.lang.Integer> keyWordsMatches,
                             java.lang.Object[] best,
                             int tooBig,
                             int tooSmall,
                             int wordCount,
                             float percentage,
                             Vertex input,
                             Vertex sentence,
                             Vertex question,
                             Vertex previousResponse,
                             boolean cascade,
                             boolean init,
                             Vertex previousQuestion,
                             java.util.Set<java.lang.String> questionWords,
                             Vertex currentTopic,
                             java.util.Map<Vertex,Vertex> variables,
                             Network network)

matchPattern

public Relationship matchPattern(Vertex sentence,
                                 Vertex previousResponse,
                                 Vertex input,
                                 java.util.Map<Vertex,Vertex> variables,
                                 Network network,
                                 float percentage)

Find the best pattern that matches the sentence.

processUnderstanding

public Vertex processUnderstanding(Vertex input,
                                   Vertex sentence,
                                   float correctnessRequired,
                                   java.util.Map<Vertex,Vertex> variables,
                                   Network network)

Attempt to understand the sentence using state machines.

processCompoundWords

public java.util.List<Vertex> processCompoundWords(java.util.List<Relationship> words)

Transform the list of words, into a list of compound words.

checkState

public Vertex checkState(Vertex root,
                         Vertex input,
                         Vertex sentence,
                         java.util.List<Vertex> states,
                         int index,
                         int recurse,
                         java.util.List<Vertex> inputs,
                         java.util.Map<Vertex,Vertex> variables,
                         java.util.List<Vertex> stateStack,
                         float correctnessRequired,
                         Network network)

Apply each state machine vertex to the sentence of words. If the state machine finds a match, it will record the real vertices mapped to the state machine variables.

bestAnswer

public Vertex[] bestAnswer(float percentage,
                           Vertex state,
                           java.util.Map<Vertex,Vertex> localVariables,
                           Vertex input,
                           Vertex sentence,
                           Network network)

Return the best response to the question, taking into account the input history.

hasPrevious

public boolean hasPrevious(Vertex meta,
                           Vertex sentence,
                           Vertex state,
                           java.util.Map<Vertex,Vertex> localVariables,
                           Network network)

Return the best response to the question, taking into account the input history.

evaluateAnswerResponse

public Vertex evaluateAnswerResponse(Vertex answer,
                                     Vertex state,
                                     java.util.Map<Vertex,Vertex> localVariables,
                                     Network network)

Evaluate the quotient and possible formula response.

createSentenceText

public Vertex createSentenceText(Vertex vertex,
                                 Network network)

Create the text for the sentence.

getWord

public Vertex getWord(Vertex vertex,
                      Network network)

Return the sentence or word for the vertex.

getWordFollowing

public static Vertex getWordFollowing(Vertex vertex,
                                      Vertex previousWord,
                                      Vertex nextWord,
                                      Network network)

Return the sentence or word for the vertex.

getWordFollowing

public static Vertex getWordFollowing(Vertex vertex,
                                      Relationship relationship,
                                      Vertex previousWord,
                                      Vertex nextWord,
                                      Network network)

Return the sentence or word for the vertex.

printFragment

public static java.lang.String printFragment(Vertex fragment,
                                             Vertex previousWord,
                                             Vertex nextWord,
                                             Network network)

getLastStateMachine

public Vertex getLastStateMachine(Network network)

setLastStateMachine

public void setLastStateMachine(Vertex lastStateMachine)

getLastState

public Vertex getLastState(Network network)

setLastState

public void setLastState(Vertex lastState)

getLastQuotient

public Vertex getLastQuotient(Network network)

setLastQuotient

public void setLastQuotient(Vertex lastQuotient)

getEnableEmote

public boolean getEnableEmote()

setEnableEmote

public void setEnableEmote(boolean enableEmote)

getLanguage

public java.lang.String getLanguage()

setLanguage

public void setLanguage(java.lang.String language)

loadSelfFile

public void loadSelfFile(java.io.File file,
                         java.lang.String encoding,
                         boolean debug)

Load, compile, and add the state machine from the .self file.

loadSelfFile

public void loadSelfFile(java.net.URL url,
                         java.lang.String encoding,
                         boolean debug)

Load, compile, and add the state machine from the .self file.

loadSelf

public void loadSelf(java.lang.String text,
                     boolean debug,
                     boolean optimize)

Load, compile, and add the state machine from the Self source code.

loadSelfFile

public void loadSelfFile(java.io.InputStream stream,
                         java.lang.String encoding,
                         int maxSize,
                         boolean debug,
                         boolean optimize)

Load, compile, and add the state machine from the .self file stream.

loadAIMLFileAsLog

public void loadAIMLFileAsLog(java.io.File file,
                              java.lang.String encoding,
                              boolean pin)

Load, parse, the aiml file as a chat log.

loadAIMLFile

public void loadAIMLFile(java.io.File file,
                         boolean createStates,
                         boolean indexStatic,
                         java.lang.String encoding)

Load, parse, the aiml file as a script.

loadAIMLFileAsLog

public void loadAIMLFileAsLog(java.io.InputStream stream,
                              java.lang.String encoding,
                              int maxSize,
                              boolean pin)

Load, parse, the aiml file as a chat log.

loadAIMLAsLog

public void loadAIMLAsLog(java.lang.String text,
                          boolean pin)

Load, parse, the aiml as a chat log.

loadAIMLFile

public void loadAIMLFile(java.io.InputStream stream,
                         java.lang.String name,
                         boolean createStates,
                         boolean mergeState,
                         boolean indexStatic,
                         java.lang.String encoding,
                         int maxSize)

Load, parse, the aiml file as a state machine.

loadAIML

public void loadAIML(java.lang.String text,
                     java.lang.String name,
                     boolean createStates,
                     boolean mergeState,
                     boolean indexStatic)

Load, parse, the aiml file as a state machine.