Theoretical Steps Towards Modelling Resilience in Complex Systems

This paper reports on theoretical work aimed at providing a harmonious set of tools for tackling the thorny problem of resilience in complex systems. Specifically, key features of resilience are laid out, and the ramifications on necessary theoretical and implementational machinery are analysed. These ramifications constitute a problem definition that, to the authors’ knowledge, no extant system is sufficiently sophisticated to meet. It is, however, possible to identify existing components that can be combined to provide the necessary expressivity. In particular, theoretical ecology has individual based modelling approaches that are consonant with artificial intelligence techniques in multi-agent systems, and in philosophical logic, channel theory provides a mechanism for modelling both system energy and system information flow. The paper demonstrates that it is possible to integrate these components into a coherent theoretical framework, laying a foundation for implementation and testing.

[1]  B. Walker Conserving Biological Diversity through Ecosystem Resilience , 1995 .

[2]  Calestous Juma,et al.  Long-run economics: An evolutionary approach to economic growth , 1987 .

[3]  Tuomas Sandholm Agents in Electronic Commerce: Component Technologies for Automated Negotiation and Coalition Formation , 2004, Autonomous Agents and Multi-Agent Systems.

[4]  Nicholas R. Jennings,et al.  On agent-based software engineering , 2000, Artif. Intell..

[5]  B. Walker Biodiversity and Ecological Redundancy , 1992 .

[6]  John H. Lawton,et al.  What Do Species Do in Ecosystems , 1994 .

[7]  Rafael H. Bordini,et al.  Jason and the Golden Fleece of Agent-Oriented Programming , 2005, Multi-Agent Programming.

[8]  R. B. Root Organization of a Plant-Arthropod Association in Simple and Diverse Habitats: The Fauna of Collards (Brassica Oleracea) , 1973 .

[9]  Betsy Strother TAC a trading agent competition , 2000, SECO.

[10]  David E. Hiebeler,et al.  The Swarm Simulation System and Individual-Based Modeling , 1994 .

[11]  Louie H. Yang,et al.  The Ecology of Individuals: Incidence and Implications of Individual Specialization , 2002, The American Naturalist.

[12]  Shou-De Lin,et al.  A trading agent competition , 2000 .

[13]  C. S. Holling Engineering Resilience versus Ecological Resilience , 1996 .

[14]  Jon Barwise,et al.  Information Flow: The Logic of Distributed Systems , 1997 .

[15]  L. Milne,et al.  The Balance of Nature , 1953, Oryx.

[16]  D. Tilman,et al.  Productivity and sustainability influenced by biodiversity in grassland ecosystems , 1996, Nature.

[17]  Katia Sycara,et al.  Persuasive argumentation in negotiation , 1990 .

[18]  R. Macarthur Fluctuations of Animal Populations and a Measure of Community Stability , 1955 .

[19]  Reid G. Smith,et al.  The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver , 1980, IEEE Transactions on Computers.

[20]  Raphaël Duboz,et al.  Small world properties in a DSDEVS model of ecosystem , .

[21]  David R. C. Hill,et al.  Spatially explicit models of group foraging by herbivores: what can Agent-Based Models offer? , 2004 .

[22]  E. Schulze,et al.  Flux control at the ecosystem level. , 1995, Trends in ecology & evolution.

[23]  Álvaro F. Moreira,et al.  MAS-SOC: a Social Simulation Platform Based on Agent-Oriented Programming , 2005, J. Artif. Soc. Soc. Simul..

[24]  姜哲,et al.  韧性(Resilience)的概念分析 , 2008 .

[25]  C. S. Holling,et al.  Ecological Resilience, Biodiversity, and Scale , 1998, Ecosystems.

[26]  W. L. The Balance of Nature , 1870, Nature.

[27]  B. Breckling,et al.  Emergent properties in individual-based ecological models—introducing case studies in an ecosystem research context , 2005 .