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Complex science for a complex world : exploring human ecosystems with agents

Author: Pascal Perez; David F Batten
Publisher: Canberra : ANU E Press, 2006.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Purpose is to attract more early career scientists into the editors' field of research and to convince decision-makers that a growing contingent of colleagues working on complexity theory can provide useful tools and methods to better understand complex and adaptive environments.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Pascal Perez; David F Batten
ISBN: 9781920942397 1920942394 1920942386 9781920942380
OCLC Number: 225285570
Description: 1 online resource (xv, 334 pages)
Contents: Part I. Building a New Science for a Complex World. Complex Science for a Complex World: An Introduction --
Towards a New Ontology of Complexity Science --
Agents, Icons and Idols --
The Uncertain Fate of Self-Defeating Systems --
The Structure of Social Networks --
Integration and Implementation Sciences: Building a New Specialisation --
Part II. Exploring National Research Priorities with Agents --
Sustainability Assessment of Housing Developments: A New Methodology --
WISDOM-II: A Network Centric Model for Warfare --
Managing Agricultural Pest and Disease Incursions: An Application of Agent-Based Modelling --
SimDrug: A Multi-Agent System Tackling the Complexity of Illicit Drug Markets in Australia --
NEMSIM: Finding Ways to Reduce Greenhouse Gas Emissions Using Multi-Agent Electricity Modelling --
AtollGame: A Companion Modelling Experience in the Pacific --
Multiple-Use Management Strategy Evaluation for Coastal Marine Ecosystems Using InVitro --
Rangeland Consolidation Patterns in Australia: An Agent-Based Modelling Approach.
Responsibility: Pascal Perez and David Batten (editors).

Abstract:

Purpose is to attract more early career scientists into the editors' field of research and to convince decision-makers that a growing contingent of colleagues working on complexity theory can provide useful tools and methods to better understand complex and adaptive environments.

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