11 found
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  1.  10
    Using Minimal Human-Computer Interfaces for Studying the Interactive Development of Social Awareness.Tom Froese, Hiroyuki Iizuka & Takashi Ikegami - 2014 - Frontiers in Psychology 5.
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  2.  7
    Imitation by Social Interaction? Analysis of a Minimal Agent-Based Model of the Correspondence Problem.Tom Froese, Charles Lenay & Takashi Ikegami - 2012 - Frontiers in Human Neuroscience 6.
  3.  25
    From Synthetic Modeling of Social Interaction to Dynamic Theories of Brain–Body–Environment–Body–Brain Systems.Tom Froese, Hiroyuki Iizuka & Takashi Ikegami - 2013 - Behavioral and Brain Sciences 36 (4):420 - 421.
    Synthetic approaches to social interaction support the development of a second-person neuroscience. Agent-based models and psychological experiments can be related in a mutually informing manner. Models have the advantage of making the nonlinear brainenvironmentbrain system as a whole accessible to analysis by dynamical systems theory. We highlight some general principles of how social interaction can partially constitute an individual's behavior.
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  4.  18
    The Brain is Not an Isolated “Black Box,” nor is its Goal to Become One.Tom Froese & Takashi Ikegami - 2013 - Behavioral and Brain Sciences 36 (3):213-214.
    In important ways, Clark's (HPM) approach parallels the research agenda we have been pursuing. Nevertheless, we remain unconvinced that the HPM offers the best clue yet to the shape of a unified science of mind and action. The apparent convergence of research interests is offset by a profound divergence of theoretical starting points and ideal goals.
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  5.  17
    The Search for a First Cell Under the Maximalism Design Principle.Takashi Ikegami & Martin M. Hanczyc - 2009 - Technoetic Arts 7 (2):153-164.
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  6.  11
    Protocells as Smart Agents for Architectural Design.Martin M. Hanczyc & Takashi Ikegami - 2009 - Technoetic Arts 7 (2):117-120.
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  7.  1
    A Sensorimotor Signature of the Transition to Conscious Social Perception: Co-Regulation of Active and Passive Touch.Hiroki Kojima, Tom Froese, Mizuki Oka, Hiroyuki Iizuka & Takashi Ikegami - 2017 - Frontiers in Psychology 8.
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  8.  18
    Simulating Active Perception and Mental Imagery with Embodied Chaotic Itinerancy.Takashi Ikegami - 2007 - Journal of Consciousness Studies 14 (7):111-125.
    We explore the understanding of conscious states in terms of spatio-temporal dynamics through modelling a mobile agent. Conscious states are associated with an agent's spontaneous and deterministic fluctuation between attachment to and detachment from the surroundings. It is because of this fluctuating nature, we argue, that an agent can perceive structure in the world. Perception requires a conscious state in physical devices. This is a central concern of this paper, and we examine it by simulating a mobile agent equipped with (...)
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  9.  1
    Web System as a Living System.Takashi Ikegami, Mizuki Oka & Yasuhiro Hashimoto - 2015 - Transactions of the Japanese Society for Artificial Intelligence 30 (6):811-819.
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  10.  11
    Dynamical Categories and Language.Takashi Ikegami - 2005 - Behavioral and Brain Sciences 28 (4):500-501.
    The dynamical category uses the sensory-motor coordination to do categorization. If categories are inevitably grounded in sensory-motor coordination, sharing categories may also share the same sensory-motor coordination. Concerning this aspect, we discuss the color category as a dynamical categorization. Additional to the converging effect of a category by communication, we discuss the diverging effect of communication that creates new categories.
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  11.  7
    Chaotic Itinerancy Needs Embodied Cognition to Explain Memory Dynamics.Takashi Ikegami & Jun Tani - 2001 - Behavioral and Brain Sciences 24 (5):818-819.
    Memory dynamics need both stable and unstable properties simultaneously. Hence memory dynamics cannot be simulated by chaotic itinerant dynamics alone, with no real world correspondence. Memory dynamics are constrained by both semantics and causalities in the embodied cognition.
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