agents
v0.2.0
Search documentation of agents
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dynamic_knowledge_graph
(agents v0.2.0)
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Summary
Functions
adapt_structure(GraphPid, AdaptationSignal)
add_abstraction(GraphPid, AbstractionId, AbstractionData)
add_concept(GraphPid, ConceptId, ConceptData)
add_edge(GraphPid, EdgeId, FromNode, ToNode)
add_fact(GraphPid, FactId, FactData)
add_node(GraphPid, NodeId, NodeData)
add_relation(GraphPid, RelationId, FromConcept, ToConcept)
analogical_reasoning(GraphPid, SourceDomain, TargetDomain)
analyze_graph_structure(GraphPid)
calculate_centrality(GraphPid, CentralityType)
causal_reasoning(GraphPid, Cause, Effect)
code_change(OldVsn, State, Extra)
compute_graph_metrics(GraphPid)
consolidate_knowledge(GraphPid)
deductive_reasoning(GraphPid, Premises, Rules)
detect_anomalies(GraphPid, AnomalyType)
discover_patterns(GraphPid, PatternType)
evolve_concepts(GraphPid, EvolutionPressure)
explore_neighborhood(GraphPid, StartNode, Depth)
find_communities(GraphPid, CommunityAlgorithm)
find_paths(GraphPid, StartNode, EndNode, MaxDepth)
generate_hypotheses(GraphPid, Domain)
get_edges_from(GraphPid, NodeId)
get_edges_to(GraphPid, NodeId)
get_node(GraphPid, NodeId)
handle_call(Request, From, State)
handle_cast(Msg, State)
handle_info(Info, State)
identify_clusters(GraphPid, ClusteringAlgorithm)
infer_knowledge(GraphPid, InferenceRequest)
init(_)
learn_from_interaction(GraphPid, Interaction, Outcome)
measure_semantic_similarity(GraphPid, Node1, Node2)
perform_reasoning(GraphPid, ReasoningType, Context)
prune_redundant_knowledge(GraphPid)
query_knowledge(GraphPid, Query)
remove_edge(GraphPid, FromNodeId, ToNodeId)
remove_node(GraphPid, NodeId)
start_link(Config)
suggest_connections(GraphPid, NodeId)
terminate(Reason, State)
validate_hypothesis(GraphPid, Hypothesis, Evidence)
validate_knowledge(GraphPid, KnowledgeItem)
Functions
adapt_structure(GraphPid, AdaptationSignal)
add_abstraction(GraphPid, AbstractionId, AbstractionData)
add_concept(GraphPid, ConceptId, ConceptData)
add_edge(GraphPid, EdgeId, FromNode, ToNode)
add_fact(GraphPid, FactId, FactData)
add_node(GraphPid, NodeId, NodeData)
add_relation(GraphPid, RelationId, FromConcept, ToConcept)
analogical_reasoning(GraphPid, SourceDomain, TargetDomain)
analyze_graph_structure(GraphPid)
calculate_centrality(GraphPid, CentralityType)
causal_reasoning(GraphPid, Cause, Effect)
code_change(OldVsn, State, Extra)
compute_graph_metrics(GraphPid)
consolidate_knowledge(GraphPid)
deductive_reasoning(GraphPid, Premises, Rules)
detect_anomalies(GraphPid, AnomalyType)
discover_patterns(GraphPid, PatternType)
evolve_concepts(GraphPid, EvolutionPressure)
explore_neighborhood(GraphPid, StartNode, Depth)
find_communities(GraphPid, CommunityAlgorithm)
find_paths(GraphPid, StartNode, EndNode, MaxDepth)
generate_hypotheses(GraphPid, Domain)
get_edges_from(GraphPid, NodeId)
get_edges_to(GraphPid, NodeId)
get_node(GraphPid, NodeId)
handle_call(Request, From, State)
handle_cast(Msg, State)
handle_info(Info, State)
identify_clusters(GraphPid, ClusteringAlgorithm)
infer_knowledge(GraphPid, InferenceRequest)
init(_)
learn_from_interaction(GraphPid, Interaction, Outcome)
measure_semantic_similarity(GraphPid, Node1, Node2)
perform_reasoning(GraphPid, ReasoningType, Context)
prune_redundant_knowledge(GraphPid)
query_knowledge(GraphPid, Query)
remove_edge(GraphPid, FromNodeId, ToNodeId)
remove_node(GraphPid, NodeId)
start_link(Config)
suggest_connections(GraphPid, NodeId)
terminate(Reason, State)
validate_hypothesis(GraphPid, Hypothesis, Evidence)
validate_knowledge(GraphPid, KnowledgeItem)