The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Dynamics in human and primate societies: agent-based modeling of social and spatial processes
Dynamics in human and primate societies: agent-based modeling of social and spatial processes
Conflicting agents: conflict management in multi-agent systems
Conflicting agents: conflict management in multi-agent systems
MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Artificial Societies: The Computer Simulation of Social Life
Artificial Societies: The Computer Simulation of Social Life
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
Evolution and Co-Evolution of Individuals and Groups in Environment
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
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Achieving cooperation among competing groups, particularly in the sphere of social and ecological resources, is an extremely daunting realm of ecosystem management. This paper presents a multi-agent model of the activities of two such competing groups--native farmers and logging companies--using common pool natural resources, namely virgin forests. In the model presented, native and logging agents deal with conflicting personal development and ecological conservation objectives. The simulation results clearly depict that emergence of co-operative behavior among the agent groups ensures that indiscriminate exploitation of vast amounts of natural resources is avoided at the cost of only a relatively small compromise on development activities. Also, the role of external (possibly government) agents is highlighted as effective information exchange promoters.