Geographic Automata Systems : A New Paradigm for Integrating GIS and Geographic Simulation

Geographic simulation is concerned with automata-based methodologies for simulating discrete, dynamic, and action-oriented spatial systems, combining cellular automata and multi-agent systems in a spatial context. In this paper, we propose a paradigm for integrating GIS and geosimulation into what we term Geographic Automata Systems (GAS), the latter fusing the two into full-blown, symbiotic systems.

[1]  F. Stuart Chapin,et al.  A probabilistic model for residential growth , 1968 .

[2]  T. Schelling Models of Segregation , 1969 .

[3]  W. Tobler A Computer Movie Simulating Urban Growth in the Detroit Region , 1970 .

[4]  Thomas C. Schelling,et al.  Dynamic models of segregation , 1971 .

[5]  J. M. Sakoda The checkerboard model of social interaction , 1971 .

[6]  T. Schelling Micromotives and Macrobehavior , 1978 .

[7]  Helen Couclelis,et al.  Cellular Worlds: A Framework for Modeling Micro—Macro Dynamics , 1985 .

[8]  Craig W. Reynolds Flocks, herds, and schools: a distributed behavioral model , 1987, SIGGRAPH.

[9]  D. Cliff From animals to animats , 1994, Nature.

[10]  K. P. Hadeler,et al.  Dimer automata and cellular automata , 1996 .

[11]  I. Benenson,et al.  Spatial Cognitive Dissonance and Sociospatial Emergence in a Self-Organizing City , 1997 .

[12]  Hélène Mathian,et al.  SIMPOP: A Multiagent System for the Study of Urbanism , 1997 .

[13]  Roger White,et al.  The Use of Constrained Cellular Automata for High-Resolution Modelling of Urban Land-Use Dynamics , 1997 .

[14]  James Noble Basic Relationship Patterns , 1997 .

[15]  I. Benenson MULTI-AGENT SIMULATIONS OF RESIDENTIAL DYNAMICS IN THE CITY , 1998 .

[16]  Joshua M. Epstein,et al.  Agent-based computational models and generative social science , 1999, Complex..

[17]  Wenzhong Shi,et al.  Development of Voronoi-based cellular automata -an integrated dynamic model for Geographical Information Systems , 2000, Int. J. Geogr. Inf. Sci..

[18]  Harry J. P. Timmermans,et al.  A Multi-Agent Cellular Automata System for Visualising Simulated Pedestrian Activity , 2000, ACRI.

[19]  Paul M. Torrens,et al.  Cellular Models of Urban Systems , 2000, ACRI.

[20]  Timothy A. Kohler,et al.  Putting social sciences together again: an introduction to the volume , 2000 .

[21]  Ferdinando Semboloni,et al.  The Growth of an Urban Cluster into a Dynamic Self-Modifying Spatial Pattern , 2000 .

[22]  M. Schreckenberg,et al.  A cellular automaton traffic flow model for online simulation of traffic , 2001, Parallel Comput..

[23]  Itzhak Benenson,et al.  OBEUS: Object-Based Environment for Urban Simulations , 2001 .

[24]  Paul M. Torrens,et al.  New Tools for Simulating Housing Choices , 2001 .

[25]  Michael Schumacher,et al.  Objective Coordination in Multi-Agent System Engineering , 2001, Lecture Notes in Computer Science.

[26]  L. Berec Techniques of spatially explicit individual-based models: construction, simulation, and mean-field analysis , 2002 .

[27]  M. Hutchinson The Social Life of Information , 2002 .

[28]  I. Benenson,et al.  Entity-Based Modeling of Urban Residential Dynamics: The Case of Yaffo, Tel Aviv , 2002 .

[29]  Paul M. Torrens,et al.  Looking Forward : Remote Sensing as Dataware for Human Settlement Simulation , 2003 .

[30]  Shivanand Balram,et al.  Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes , 2003, The Professional Geographer.

[31]  Paul M. Torrens,et al.  Automata-based models of urban systems , 2003 .

[32]  Paul M. Torrens,et al.  Geosimulation: Object-based Modeling of Urban Phenomena , 2022 .

[33]  Claes Andersson,et al.  Assessing the impact of temporal dynamics on land-use change modeling , 2004, Comput. Environ. Urban Syst..

[34]  Bonnie MacKellar,et al.  Data model for extensible support of explicit relationships in design databases , 1995, The VLDB Journal.