Human Plausible Reasoning

The ability to reason plausibly, that is to derive useful conclusions from imperfect premises, is one of the most remarkable properties of the human mind, and a key to understanding intelligent behavior. In plausible reasoning, the premises may be incomplete, uncertain, imprecise or only partially relevant to the task. Yet, people are able to make useful conclusions from premises. The initial core theory of human plausible reasoning was developed by Collins and Michalski (1989). For 15 years, Collins and his colleagues have been collecting and organizing a wide variety of human plausible inferences people do in everyday’s life. His collaboration with Michalski led to development of a formal system based on Michalski’s variable valued logic that characterized different patterns of plausible inferences people use in reasoning about the world. They attempted to formalize plausible inferences that frequently occur in people’s responses to questions for which they don’t have ready answers.

Below there are some references to principal publications about HPR:

  1. A. Collins, "Fragments of a theory of human plausible reasoning". Theoretical Issues in Natural Language Processing-2. pp. 194-201, 1978.

  2. Collins, A. and Michalski R.S., "The Logic of Plausible Reasoning: A Core Theory," Cognitive Science, Vol. 13, pp. 1-49, 1989.

  3. Michalski R.S., Boehm-Davis, D. and Dontas, K., "Plausible reasoning: An outline of theory and experiments to validate its structural Properties," invited chapter in INTELLIGENT SYSTEMS: State of the Art and Future Directions, North Holland, 1990.

  4. Dontas, K., "APPLAUSE: An Implementation of the Collins-Michalski Theory of Plausible Reasoning," M.S. Thesis, Computer Science Department, University of Tennessee, Knoxville, TN, August 1988.

  5. Kelly, Jr., J.D., "PRS: A System for Plausible Reasoning," M.S. Thesis, University of Illinois, Urbana-Champaign, 1989.

  6. Kejitan Dontas, Maria Zemankova, “APPLAUSE: An implementation of the Collins-Michalski theory of plausible reasoning,” Information Science, 52(2): 111-139, 1990.

  7. J.D. Kelly, PRS: A System for Plausible Reasoning, Master’s Thesis, University of Illinois, Urbana-Champaign, 1989.

  8. F. Oroumchian, R.N. Oddy, “An Application of Plausible Reasoning to Information Retrieval,” SIGIR 1996: 244-252.

  9. M. Virvou, K. Kabassi, “IFM: An Intelligent Graphical User Interface Offering Advice,” In proceeding of 2nd Hellenic Conf. of AI, SETN 2002, Greece, Companion Volume, pp. 155-164.

  10. E. Darrudi, M. Rahgozar, F. Oroumchian, “Human Plausible Reasoning for Question Answering Systems,” In proceeding of Advances in Intelligent Systems - Theory and Applications, Luxembourg, November 2004.

 

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