Distributed Representations, Simple Recurrent Networks, And Grammatical Structure
Machine Learning - Connectionist approaches to language learning
The Induction of Dynamical Recognizers
Machine Learning - Connectionist approaches to language learning
A Neural Chaos Model of Multistable Perception
Neural Processing Letters
Imitation and Cooperation in Coupled Dynamical Recognizers
ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
Multi-agent-based simulation for formation of institutions on socially constructed facts
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Effect of interaction between rules on rule dynamics in a multi-group minority game
Artificial Life and Robotics
Dynamics of rules internalized in dynamic cognitive agents playing a multi-game
Artificial Life and Robotics
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In this paper, we discuss a viewpoint to regard individuals in a society as cognitive agents having internal dynamics, in order to study the dynamic nature of social structures. Internal dynamics is the autonomous changes of an agent's internal states that govern his/her behavior. We first discuss the benefit of introducing internal dynamics into a model of humans and the dynamics of society. Then we propose a simple recurrent network with self-influential connection (SRN-SIC) as a model of an agent with internal dynamics. We report the results of our simulation in which the agents play a minority game. In the simulation, we observe the dynamics of the game as a macro structure itinerating among various dynamical states such as fixed points and periodic motions via aperiodic motions. This itinerant change of the macro structures is shown to be induced by the internal dynamics of the agents.