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  1. Getting to Best: Efficiency versus Optimality in Negotiation.Elaine B. Hyder, Michael J. Prietula & Laurie R. Weingart - 2000 - Cognitive Science 24 (2):169-204.
    Negotiation between two individuals is a common task that typically involves two goals: maximize individual outcomes and obtain an agreement. However, research on the simplest negotiation tasks demonstrates that although naive subjects can be induced to improve their performance, they are often no more likely to achieve fully optimal solutions. The present study tested the prediction that a decrease in a particular type of argumentative behavior, substantiation, would result in an increase in optimal agreements. As substantiation behaviors depend primarily on (...)
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  • A preliminary analysis of the Soar architecture as a basis for general intelligence.Paul S. Rosenbloom, John E. Laird, Allen Newell & Robert McCarl - 1991 - Artificial Intelligence 47 (1-3):289-325.
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  • Approaches to the study of intelligence.Donald A. Norman - 1991 - Artificial Intelligence 47 (1-3):327-346.
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  • Memory for goals: an activation‐based model.Erik M. Altmann & J. Gregory Trafton - 2002 - Cognitive Science 26 (1):39-83.
    Goal‐directed cognition is often discussed in terms of specialized memory structures like the “goal stack.” The goal‐activation model presented here analyzes goal‐directed cognition in terms of the general memory constructs of activation and associative priming. The model embodies three predictive constraints: (1) the interference level, which arises from residual memory for old goals; (1) the strengthening constraint, which makes predictions about time to encode a new goal; and (3) the priming constraint, which makes predictions about the role of cues in (...)
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