Concepts from complex adaptive systems as a framework for individual-based modelling

[1]  Steven F. Railsback,et al.  GETTING “RESULTS”: THE PATTERN‐ORIENTED APPROACH TO ANALYZING NATURAL SYSTEMS WITH INDIVIDUAL‐BASED MODELS , 2001 .

[2]  Janusz Uchmański,et al.  Individual variability and population regulation: an individual‐based model , 2000 .

[3]  Timothy A. Kohler,et al.  Be there then: a modeling approach to settlement determinants and spatial efficiency among late ancestral pueblo populations of the Mesa Verde region, U.S. southwest , 2000 .

[4]  K. Rose.  WHY ARE QUANTITATIVE RELATIONSHIPS BETWEEN ENVIRONMENTAL QUALITY AND FISH POPULATIONS SO ELUSIVE , 2000 .

[5]  Chris Goldspink,et al.  Modelling social systems as complex: Towards a social simulation meta-model , 2000, J. Artif. Soc. Soc. Simul..

[6]  C. Clark,et al.  Dynamic State Variable Models in Ecology , 2000 .

[7]  Steven F. Railsback,et al.  Movement rules for individual-based models of stream fish , 1999 .

[8]  Jason L. White,et al.  Influence of large woody debris and a bankfull flood on movement of adult resident coastal cutthroat trout (Oncorhynchus clarki) during fall and winter , 1999 .

[9]  Tamara C. Grand.  Risk-taking behaviour and the timing of life history events : consequences of body size and season , 1999 .

[10]  Florian Jeltsch,et al.  From pattern to practice: a scaling-down strategy for spatially explicit modelling illustrated by the spread and control of rabies , 1999 .

[11]  V. Grimm.  Ten years of individual-based modelling in ecology: what have we learned and what could we learn in the future? , 1999 .

[12]  Michael Sonnenschein,et al.  Modelling and simulation software to support individual-based ecological modelling , 1999 .

[13]  Janusz Uchmański,et al.  What promotes persistence of a single population: an individual-based model , 1999 .

[14]  Volker Grimm,et al.  Individual-based modelling and ecological theory: synthesis of a workshop , 1999 .

[15]  Simon A. Levin,et al.  Fragile Dominion: Complexity and the Commons , 1999 .

[16]  P. Todd,et al.  Simple Heuristics That Make Us Smart , 1999 .

[17]  G. Booth,et al.  BacSim, a simulator for individual-based modelling of bacterial colony growth. , 1998, Microbiology.

[18]  J. Giske,et al.  Ecology in Mare Pentium: an individual-based spatio-temporal model for fish with adapted behaviour , 1998 .

[19]  W. V. Winkle,et al.  Individual-based model of sympatric populations of brown and rainbow trout for instream flow assessment: model description and calibration , 1998 .

[20]  S. Auyang.  Foundations of Complex-System Theories: In Economics, Evolutionary Biology, and Statistical Physics , 1998 .

[21]  S. Carpenter,et al.  Interlake variation in growth and size structure of bluegill (Lepomis macrochirus): inverse analysis of an individual-based model , 1998 .

[22]  Tony Curzon Price,et al.  Emergence: From Chaos to Order by John H. Holland , 1998, J. Artif. Soc. Soc. Simul..

[23]  Michael W. Berry,et al.  Parallel individual-based modeling of Everglades deer ecology , 1997 .

[24]  Tamara C. Grand,et al.  The energetic equivalence of cover to juvenile coho salmon (Oncorhynchus kisutch): ideal free distribution theroy applied , 1997 .

[25]  K. Rose,et al.  Individual-based model of stream-resident rainbow trout and brook char: model description, corroboration, and effects of sympatry and spawning season duration , 1997 .

[26]  Ginger Booth,et al.  Gecko: A Continuous 2D World for Ecological Modeling , 1997, Artificial Life.

[27]  T. Quinn,et al.  Environmental Changes Affecting the Migratory Timing of American Shad and Sockeye Salmon , 1996 .

[28]  Nelson Minar,et al.  The Swarm Simulation System: A Toolkit for Building Multi-Agent Simulations , 1996 .

[29]  Karin Frank,et al.  Pattern-oriented modelling in population ecology , 1996 .

[30]  Marc Mangel,et al.  Seasonal matching of foraging to anticipated energy requirements in anorexic juvenile salmon , 1996, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[31]  J. Bart.  Acceptance Criteria for Using Individual‐Based Models to Make Management Decisions , 1995 .

[32]  John R. Koza,et al.  Hidden Order: How Adaptation Builds Complexity. , 1995, Artificial Life.

[33]  Sven Erik Jørgensen,et al.  Complex ecology : the part-whole relation in ecosystems , 1995 .

[34]  S. Kauffman.  At Home in the Universe: The Search for the Laws of Self-Organization and Complexity , 1995 .

[35]  M. Mitchell Waldrop,et al.  Complexity : the emerging science and the edge of order and chaos , 1992 .

[36]  J. Nielsen.  Microhabitat‐Specific Foraging Behavior, Diet, and Growth of Juvenile Coho Salmon , 1992 .

[37]  William Gurney,et al.  Individual-based models: combining testability and generality , 1992 .

[38]  D. DeAngelis,et al.  Individual-Based Models and Approaches in Ecology , 1992 .

[39]  E. Fama,et al.  Efficient Capital Markets : II , 2007 .

[40]  Stephanie Forrest,et al.  Emergent computation: self-organizing, collective, and cooperative phenomena in natural and artificial computing networks , 1990 .

[41]  P. Devreotes.  Dictyostelium discoideum: a model system for cell-cell interactions in development. , 1989, Science.

[42]  William E. Grant,et al.  AI modelling of animal movements in a heterogeneous habitat , 1989 .

[43]  D. DeAngelis,et al.  New Computer Models Unify Ecological TheoryComputer simulations show that many ecological patterns can be explained by interactions among individual organisms , 1988 .

[44]  J. Krebs,et al.  INDIVIDUAL DECISIONS AND THE DISTRIBUTION OF PREDATORS IN A PATCHY ENVIRONMENT , 1988 .

[45]  J. F. Gilliam,et al.  Habitat Selection Under Predation Hazard: Test of a Model with Foraging Minnows. , 1987, Ecology.

[46]  T. Cochrane,et al.  When Time Breaks Down : The Three-Dimensional Dynamics of Electrochemical Waves and Cardiac Arrhythmias , 1987 .

[47]  C. Clark,et al.  Towards a Unifield Foraging Theory , 1986 .

[48]  Prof. Arthur D. Hasler,et al.  Olfactory Imprinting and Homing in Salmon , 1983, Zoophysiology.

[49]  Arthur W. Burks,et al.  Essays on cellular automata , 1970 .

[50]  Arthur L. Samuel,et al.  Some Studies in Machine Learning Using the Game of Checkers , 1967, IBM J. Res. Dev..

[51]  N. Tinbergen,et al.  The Study of Instinct , 1953 .

[52]  H. Evans.  The Study of Instinct , 1952 .