Memory-based hypothesis formation: Heuristic learning of commonsense causal relations from text


Cem Bozsahin H. C., Findler N. V.

Cognitive Science, vol.16, no.4, 1992 (Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 16 Issue: 4
  • Publication Date: 1992
  • Doi Number: 10.1016/0364-0213(92)90028-s
  • Journal Name: Cognitive Science
  • Journal Indexes: Scopus
  • Middle East Technical University Affiliated: No

Abstract

We present a memory-based approach to learning commonsense causal relations from episodic text. The method relies on dynamic memory that consists of events, event schemata, episodes, causal heuristics, and causal hypotheses. The learning algorithms are based on applying causal heuristics'to precedents of new information. The heuristics are derived from principles of causation, and, to a limited extent, from domain-related causal reasoning. Learning is defined as finding-and later augmenting-inter-episodal and intea-episodal causal connections. The learning algorithms enable inductive generalization of causal associations into AND/OR graphs. The methodology has been implemented and tested in the program NEXUS. © 1992.