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  1. Limited Rationality in Action: Decision Support for Military Situation Assessment. [REVIEW]Suzanne Mahoney, Tod S. Levitt, Bruce D'Ambrosio & Kathryn Blackmond Laskey - 2000 - Minds and Machines 10 (1):53-77.
    Information is a force multiplier. Knowledge of the enemy's capability and intentions may be of far more value to a military force than additional troops or firepower. Situation assessment is the ongoing process of inferring relevant information about the forces of concern in a military situation. Relevant information can include force types, firepower, location, and past, present and future course of action. Situation assessment involves the incorporation of uncertain evidence from diverse sources. These include photographs, radar scans, and other forms (...)
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  • Artificial intelligence and consciousness.Drew McDermott - 2007 - In Morris Moscovitch, Philip Zelazo & Evan Thompson (eds.), Cambridge Handbook of Consciousness. New York: Cambridge University Press. pp. 117--150.
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  • Applying global workspace theory to the frame problem.Murray Shanahan & Bernard Baars - 2005 - Cognition 98 (2):157-176.
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  • TSUNAMI: Simultaneous Understanding, Answering, and Memory Interaction for Questions.Scott P. Robertson - 1994 - Cognitive Science 18 (1):51-85.
    Question processing involves parsing, memory retrieval, question categorization, initiation of appropriate answer‐retrieval heuristics, answer formulation, and output. Computational and psychological models have traditionally treated these processes as separate, sequential, independent, and in pursuit of a single answer type at a time. Here this view is challenged and the implications of a theory in which question processes operate simultaneously on multiple question interpretations are explored. A highly interactive model is described in which an expectation‐driven parser generates multiple question candidates, including partially‐specified (...)
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  • Logic and artificial intelligence.Nils J. Nilsson - 1991 - Artificial Intelligence 47 (1-3):31-56.
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  • Proof planning with multiple strategies.Erica Melis, Andreas Meier & Jörg Siekmann - 2008 - Artificial Intelligence 172 (6-7):656-684.
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  • An apprentice-based approach to knowledge acquisition.Sridhar Mahadevan, Tom M. Mitchell, Jack Mostow, Lou Steinberg & Prasad V. Tadepalli - 1993 - Artificial Intelligence 64 (1):1-52.
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  • Diagnosis based on explicit means-end models.Jan Eric Larsson - 1996 - Artificial Intelligence 80 (1):29-93.
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  • SOAR: An architecture for general intelligence.John E. Laird, Allen Newell & Paul S. Rosenbloom - 1987 - Artificial Intelligence 33 (1):1-64.
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  • Deliberation for autonomous robots: A survey.Félix Ingrand & Malik Ghallab - 2017 - Artificial Intelligence 247 (C):10-44.
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  • Intelligent control.Barbara Hayes-Roth - 1993 - Artificial Intelligence 59 (1-2):213-220.
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  • An architecture for adaptive intelligent systems.Barbara Hayes-Roth - 1995 - Artificial Intelligence 72 (1-2):329-365.
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  • Social conceptions of knowledge and action: DAI foundations and open systems semantics.Les Gasser - 1991 - Artificial Intelligence 47 (1-3):107-138.
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  • Integrating Subsymbolic and Symbolic Processing in Artificial Vision. E. Ardizzone, A. Chella, M. Frixione & S. Gaglio - 1992 - Journal of Intelligent Systems 1 (4):273-308.
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  • Unified Theories of Cognition: modeling cognitive competence.Michael R. Fehling - 1993 - Artificial Intelligence 59 (1-2):295-328.
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  • A Requirement for Understanding Natural Language.Gérard Sabah - 1997 - In S. O'Nuillain, Paul McKevitt & E. MacAogain (eds.), Two Sciences of Mind. John Benjamins. pp. 9--361.
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