agents
v0.2.0
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environmental_learning_engine
(agents v0.2.0)
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Summary
Functions
abstract_environmental_features(LearningPid, EnvironmentalData)
adapt_behavioral_patterns(LearningPid, BehaviorPattern, Feedback)
adapt_learning_strategies(LearningPid, PerformanceData, Context)
adapt_to_environment(LearningPid, EnvironmentalChange)
build_environmental_model(LearningPid, EnvironmentalData)
build_predictive_model(LearningPid, ModelType)
code_change(OldVsn, State, Extra)
contextualize_learning(LearningPid, Learning, Context)
curiosity_driven_learning(LearningPid, CuriosityStimulus)
discover_environmental_patterns(LearningPid, AnalysisScope)
evolutionary_adaptation(LearningPid, SelectionPressure)
exploration_strategy_learning(LearningPid, ExplorationResults)
extract_environmental_rules(LearningPid, Observations)
form_environmental_abstractions(LearningPid, ConcreteExperiences)
generalize_environmental_knowledge(LearningPid, SpecificKnowledge)
handle_call(Request, From, State)
handle_cast(Msg, State)
handle_info(Info, State)
identify_similar_environments(LearningPid, CurrentEnvironment)
init(_)
learn_from_interaction(LearningPid, Interaction, Outcome)
learn_how_to_learn(LearningPid, LearningExperience)
meta_cognitive_learning(LearningPid, MetaCognitiveExperience)
model_temporal_dynamics(LearningPid, TemporalData)
novelty_detection_learning(LearningPid, NovelStimulus)
optimize_environmental_strategy(LearningPid, CurrentStrategy)
predict_environmental_changes(LearningPid, CurrentState)
reinforcement_learning_update(LearningPid, State, Action, Reward)
simulate_environmental_scenarios(LearningPid, ScenarioParameters)
start_link(Config)
surprise_based_learning(LearningPid, ExpectedOutcome, ActualOutcome)
terminate(Reason, State)
transfer_knowledge_across_contexts(LearningPid, SourceContext, TargetContext)
update_causal_model(LearningPid, CausalData, ModelId)
update_environmental_knowledge(LearningPid, NewKnowledge, Context)
validate_environmental_model(LearningPid, ModelId, ValidationData)
Functions
abstract_environmental_features(LearningPid, EnvironmentalData)
adapt_behavioral_patterns(LearningPid, BehaviorPattern, Feedback)
adapt_learning_strategies(LearningPid, PerformanceData, Context)
adapt_to_environment(LearningPid, EnvironmentalChange)
build_environmental_model(LearningPid, EnvironmentalData)
build_predictive_model(LearningPid, ModelType)
code_change(OldVsn, State, Extra)
contextualize_learning(LearningPid, Learning, Context)
curiosity_driven_learning(LearningPid, CuriosityStimulus)
discover_environmental_patterns(LearningPid, AnalysisScope)
evolutionary_adaptation(LearningPid, SelectionPressure)
exploration_strategy_learning(LearningPid, ExplorationResults)
extract_environmental_rules(LearningPid, Observations)
form_environmental_abstractions(LearningPid, ConcreteExperiences)
generalize_environmental_knowledge(LearningPid, SpecificKnowledge)
handle_call(Request, From, State)
handle_cast(Msg, State)
handle_info(Info, State)
identify_similar_environments(LearningPid, CurrentEnvironment)
init(_)
learn_from_interaction(LearningPid, Interaction, Outcome)
learn_how_to_learn(LearningPid, LearningExperience)
meta_cognitive_learning(LearningPid, MetaCognitiveExperience)
model_temporal_dynamics(LearningPid, TemporalData)
novelty_detection_learning(LearningPid, NovelStimulus)
optimize_environmental_strategy(LearningPid, CurrentStrategy)
predict_environmental_changes(LearningPid, CurrentState)
reinforcement_learning_update(LearningPid, State, Action, Reward)
simulate_environmental_scenarios(LearningPid, ScenarioParameters)
start_link(Config)
surprise_based_learning(LearningPid, ExpectedOutcome, ActualOutcome)
terminate(Reason, State)
transfer_knowledge_across_contexts(LearningPid, SourceContext, TargetContext)
update_causal_model(LearningPid, CausalData, ModelId)
update_environmental_knowledge(LearningPid, NewKnowledge, Context)
validate_environmental_model(LearningPid, ModelId, ValidationData)