An Implemented Context System that Combines Belief Reasoning, Metaphor-Based Reasoning and Uncertainty Handling
Author(s) -
John A. Barnden,
Mark Lee
Publication year - 1999
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-66432-7
DOI - 10.1007/3-540-48315-2_3
Subject(s) - argumentation theory , computer science , metaphor , analytic reasoning , model based reasoning , reasoning system , verbal reasoning , qualitative reasoning , deductive reasoning , psychology of reasoning , context (archaeology) , opportunistic reasoning , artificial intelligence , bridging (networking) , case based reasoning , adaptive reasoning , knowledge representation and reasoning , epistemology , cognition , psychology , linguistics , paleontology , philosophy , neuroscience , biology , computer network
An implemented context-based reasoning system called ATT-Meta is sketched. The system can perform both reasoning about beliefs of agents and metaphor-based reasoning. In particular, it can perform metaphor-based reasoning about beliefs and reasoning acts. The metaphor-based reasoning and belief reasoning facilities are fully integrated into a general framework for uncertain reasoning. This framework allows for uncertain reasoning and conflict resolution within individual contexts, uncertainty in individual inter-context bridging rules, conflict resolution between the effects of different bridging rules, and conflict-resolution across context boundaries when argumentation inside a context conflicts with argumentation outside.
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