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.

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.

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 (...) an interconnected Fitz-Hugh-Nagumo (FHN) neuron network with delayed signal transmissions. The agent can move around a space by sensing the environment pattern through the input neurons and computing the motor outputs via the FHN network. The agent shows a variety of motion styles and a spontaneous selection of motion styles responding to the surroundings. Such a phenomenon is named embodied chaotic itinerancy (ECI), as an extension of chaotic itinerant dynamics, which is known to be a typical dynamic with a high degree of freedom. We take this selective mode of response to be significant, particularly those interacting with spatial pattern, as an inevitable property of conscious states. (shrink)

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.

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.