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  1. POLITICS: Automated Ideological Reasoning.Jaime G. Carbonell - 1978 - Cognitive Science 2 (1):27-51.
    POLITICS is a system of computer programs which simulates humans in comprehending and responding to world events from a given political or ideological perspective. The primary theoretical motivations were: (1) the implemention of a functional system which applies the knowledge structures of Schank and Abelson (1977) to the domain of simulating political belief systems; (2) the development of a tentative theory of intentional goal conflicts and counterplanning. Secondary goals of the POLITICS project include developing a representation for belief systems, investigating (...)
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  • Making preferences more active.Yorick Wilks - 1978 - Artificial Intelligence 11 (3):197-223.
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  • User Modeling via Stereotypes.Elaine Rich - 1979 - Cognitive Science 3 (4):329-354.
    This paper addresses the problems that must be considered if computers are going to treat their users as individuals with distinct personalities, goals, and so forth. It first outlines the issues, and then proposes stereotypes as a useful mechanism for building models of individual users on the basis of a small amount of information about them. In order to build user models quickly, a large amount of uncertain knowledge must be incorporated into the models. The issue of how to resolve (...)
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  • Frames, knowledge, and inference.Paul R. Thagard - 1984 - Synthese 61 (2):233 - 259.
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  • A common representation for problem-solving and language-comprehension information.Eugene Charniak - 1981 - Artificial Intelligence 16 (3):225-255.
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  • Planning and Acting.Drew McDermott - 1978 - Cognitive Science 2 (2):71-100.
    A new theory of problem solving is presented, which embeds problem solving in the theory of action; in this theory, a problem is just a difficult action. Making this work requires a sophisticated language for‐talking about plans and their execution. This language allows a broad range of types of action, and can also be used to express rules for choosing and scheduling plans. To ensure flexibility, the problem solver consists of an interpreter driven by a theorem prover which actually manipulates (...)
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  • Counterplanning: A strategy-based model of adversary planning in real-world situations.Jaime G. Carbonell - 1981 - Artificial Intelligence 16 (3):295-329.
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