Adversarial Problem Solving: Modeling an Opponent Using Explanatory Coherence

Cognitive Science 16 (1):123-149 (1992)
  Copy   BIBTEX

Abstract

In adversarial problem solving (APS), one must anticipate, understand and counteract the actions of an opponent. Military strategy, business, and game playing all require an agent to construct a model of an opponent that includes the opponent's model of the agent. The cognitive mechanisms required for such modeling include deduction, analogy, inductive generalization, and the formation and evaluation of explanatory hypotheses. Explanatory coherence theory captures part of what is involved in APS, particularly in cases involving deception.

Other Versions

No versions found

Links

PhilArchive

    This entry is not archived by us. If you are the author and have permission from the publisher, we recommend that you archive it. Many publishers automatically grant permission to authors to archive pre-prints. By uploading a copy of your work, you will enable us to better index it, making it easier to find.

    Upload a copy of this work     Papers currently archived: 103,190

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Analytics

Added to PP
2013-11-21

Downloads
37 (#640,129)

6 months
4 (#864,415)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Paul Thagard
University of Waterloo

Citations of this work

Waves, particles, and explanatory coherence.Chris Eliasmith & Paul Thagard - 1997 - British Journal for the Philosophy of Science 48 (1):1-19.
Societies of minds: Science as distributed computing.Paul Thagard - 1991 - Studies in History and Philosophy of Science Part A 24 (1):49-67.
Deliberative coherence.Elijah Millgram & Paul Thagard - 1996 - Synthese 108 (1):63 - 88.

View all 9 citations / Add more citations