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  1. Saying what you mean in dialogue: A study in conceptual and semantic co-ordination.Simon Garrod & Anthony Anderson - 1987 - Cognition 27 (2):181-218.
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  • Socially distributed cognition in loosely coupled systems.Mark Perry - 2010 - AI and Society 25 (4):387-400.
    Distributed cognition provides a theoretical framework for the analysis of data from socio-technical systems within a problem-solving framework. While the approach has been applied in tightly constrained activity domains, composed of well-structured problems and highly organised infrastructures, little is known about its use in other forms of activity systems. In this paper, we explore how distributed cognition could be applied in less well-constrained settings, with ill-structured problems and loosely organised resource sets, critically reflecting on this using data from a field (...)
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  • How a cockpit remembers its speeds.Edwin Hutchins - 1995 - Cognitive Science 19 (3):265--288.
    Cognitive science normally takes the individual agent as its unit of analysis. In many human endeavors, however, the outcomes of interest are not determined entirely by the information processing properties of individuals. Nor can they be inferred from the properties of the individual agents, alone, no matter how detailed the knowledge of the properties of those individuals may be. In commercial aviation, for example, the successful completion of a flight is produced by a system that typically includes two or more (...)
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  • Toward a mechanistic psychology of dialogue.Martin J. Pickering & Simon Garrod - 2004 - Behavioral and Brain Sciences 27 (2):169-190.
    Traditional mechanistic accounts of language processing derive almost entirely from the study of monologue. Yet, the most natural and basic form of language use is dialogue. As a result, these accounts may only offer limited theories of the mechanisms that underlie language processing in general. We propose a mechanistic account of dialogue, the interactive alignment account, and use it to derive a number of predictions about basic language processes. The account assumes that, in dialogue, the linguistic representations employed by the (...)
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  • Joint Action, Interactive Alignment, and Dialog.Simon Garrod & Martin J. Pickering - 2009 - Topics in Cognitive Science 1 (2):292-304.
    Dialog is a joint action at different levels. At the highest level, the goal of interlocutors is to align their mental representations. This emerges from joint activity at lower levels, both concerned with linguistic decisions (e.g., choice of words) and nonlinguistic processes (e.g., alignment of posture or speech rate). Because of the high‐level goal, the interlocutors are particularly concerned with close coupling at these lower levels. As we illustrate with examples, this means that imitation and entrainment are particularly pronounced during (...)
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  • Conversation, co-ordination and convention: an empirical investigation of how groups establish linguistic conventions.Simon Garrod & Gwyneth Doherty - 1994 - Cognition 53 (3):181-215.
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  • An Experimental Study of the Emergence of Human Communication Systems.Bruno Galantucci - 2005 - Cognitive Science 29 (5):737-767.
    The emergence of human communication systems is typically investigated via 2 approaches with complementary strengths and weaknesses: naturalistic studies and computer simulations. This study was conducted with a method that combines these approaches. Pairs of participants played video games requiring communication. Members of a pair were physically separated but exchanged graphic signals through a medium that prevented the use of standard symbols (e.g., letters). Communication systems emerged and developed rapidly during the games, integrating the use of explicit signs with information (...)
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  • Signalling signalhood and the emergence of communication.Thomas C. Scott-Phillips, Simon Kirby & Graham R. S. Ritchie - 2009 - Cognition 113 (2):226-233.
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  • The Interactive Evolution of Human Communication Systems.Nicolas Fay, Simon Garrod, Leo Roberts & Nik Swoboda - 2010 - Cognitive Science 34 (3):351-386.
    This paper compares two explanations of the process by which human communication systems evolve: iterated learning and social collaboration. It then reports an experiment testing the social collaboration account. Participants engaged in a graphical communication task either as a member of a community, where they interacted with seven different partners drawn from the same pool, or as a member of an isolated pair, where they interacted with the same partner across the same number of games. Participants’ horizontal, pair‐wise interactions led (...)
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  • Auto-organization and emergence of shared language structure.Edwin Hutchins & Brian Hazlehurst - 2002 - In Angelo Cangelosi & Domenico Parisi (eds.), Simulating the Evolution of Language. Springer Verlag. pp. 279--305.
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