NEW MODEL BASED ON CELLULAR AUTOMATA AND MULTIAGENT TECHNIQUES

The need for intelligent systems has grown in the past decade because of the increasing demand on humans and machines to perform better. The researchers of artificial intelligence (AI) have responded to these needs with the development of intelligent hybrid systems. This paper describes the modeling language for interacting hybrid systems in which we will build a new hybrid model of cellular automata and multiagent technology. Simulations with complex behavior will be model social dynamics where the focus is on the emergence of properties of local interactions. Therefore, in our approach, cellular automata form a useful framework for the multiagent simulation model and the model will be used for traffic system which lies in coordinating the local behavior of individual agent to provide an appropriate system-level behavior in grid of interacting organisms.

[1]  Ayahiko Niimi,et al.  Emergence in Combined System Structure of Rough Set Theory and Neural Networks , 2003 .

[2]  Leonid Sheremetov,et al.  Weiss, Gerhard. Multiagent Systems a Modern Approach to Distributed Artificial Intelligence , 2009 .

[3]  John R. Koza,et al.  Genetic Programming III: Darwinian Invention & Problem Solving , 1999 .

[4]  Reda Alhajj,et al.  Multiagent reinforcement learning using function approximation , 2000, IEEE Trans. Syst. Man Cybern. Part C.

[5]  Moshe Sipper,et al.  Studying Artificial Life Using a Simple, General Cellular Model , 1994, Artificial Life.

[6]  Eiichiro Tazaki,et al.  Emergent phenomena in cellular automata modeling , 2003 .

[7]  Nicholas Mark Gotts.  Emergent phenomena in large sparse random arrays of Conway's 'Game of Life' , 2000, Int. J. Syst. Sci..

[8]  Leon O. Chua,et al.  Cellular Neural Networks and Visual Computing: Foundations and Applications , 2002 .

[9]  Julie A. Adams,et al.  Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence , 2001, AI Mag..

[10]  James P. Crutchfield,et al.  Computational mechanics of cellular automata: an example , 1997 .

[11]  Ludger Santen,et al.  DISORDER EFFECTS IN CELLULAR AUTOMATA FOR TWO-LANE TRAFFIC , 1999 .

[12]  Eiichiro Tazaki,et al.  Emergent computation using a new model of cellular automata , 2003, Appl. Artif. Intell..

[13]  Eiichiro Tazaki,et al.  Adaptive behaviorin cellular automata using rough set theory , 2003, Appl. Artif. Intell..

[14]  Claudia V. Goldman,et al.  Evolutionary patterns of agent organizations , 2002, IEEE Trans. Syst. Man Cybern. Part A.

[15]  B. Chopard,et al.  Cellular automata model of car traffic in a two-dimensional street network , 1996 .

[16]  John R. Koza.  Genetic Programming III - Darwinian Invention and Problem Solving , 1999, Evolutionary Computation.

[17]  Pak Ming Hui,et al.  Two-dimensional traffic flow problems in inhomogeneous lattices , 1995 .

[18]  T. Poeschel,et al.  A Statistical Approach to Vehicular Traffic , 1995, cond-mat/0203463.

[19]  Moshe Sipper,et al.  Toward a viable, self-reproducing universal computer , 1996 .

[20]  M. Schreckenberg,et al.  Density waves and jamming transition in cellular automaton models for traffic flow , 1999 .

[21]  Rajiv Khosla,et al.  Engineering Intelligent Hybrid Multi-Agent Systems , 1997, Springer US.