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  1. A Simplest Systematics for the Organization of Turn-Taking for Conversation.Gail Jefferson, Andrei Korbut, Harvey Sacks & Emmanuel Schegloff - 2015 - Russian Sociological Review 14 (1):142-202.
    The article is the first Russian translation of the most well-known piece in conversation analysis, written by the founders of CA Harvey Sacks, Emanuel Schegloff and Gail Jefferson. It has become a milestone in the development of the discipline. The authors offer a comprehensive approach to the study of conversational interactions. The approach is based on the analysis of detailed transcripts of the records of natural conversations. The authors show that in the course of the conversation co-conversationalists use a number (...)
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  • Planning and meta-planning.Mark Stefik - 1981 - Artificial Intelligence 16 (2):141-169.
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  • A Cognitive Model of Planning.Barbara Hayes-Roth & Frederick Hayes-Roth - 1979 - Cognitive Science 3 (4):275-310.
    This paper presents a cognitive model of the planning process. The model generalizes the theoretical architecture of the Hearsay‐ll system. Thus, it assumes that planning comprises the activities of a variety of cognitive “specialists.” Each specialist can suggest certain kinds of decisions for incorporation into the plan in progress. These include decisions about: (a) how to approach the planning problem; (b) what knowledge bears on the problem; (c) what kinds of actions to try to plan; (d) what specific actions to (...)
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  • Planning for conjunctive goals.David Chapman - 1987 - Artificial Intelligence 32 (3):333-377.
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  • On the Non-Fatal Nature of Trouble: Sense-Making and Trouble-Managing in Lingua Franca Talk.Brigitte Jordan & Nancy Fuller - 1975 - Semiotica 13 (1).
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  • Strips: A new approach to the application of theorem proving to problem solving.Richard E. Fikes & Nils J. Nilsson - 1971 - Artificial Intelligence 2 (3-4):189-208.
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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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  • The Synthesis of Digital Machines with Provable Epistemic Properties.Stanley J. Rosenschein & Leslie Pack Kaelbling - 1988 - Journal of Symbolic Logic 53 (2):664-664.
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