Adaptation on rugged landscapes
Management Science
From Active Objects to Autonomous Agents
IEEE Concurrency
Agent-Based Simulation for Economic and Environmental Studies
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
Classifier fitness based on accuracy
Evolutionary Computation
Synthesis of a generic MAS metamodel
SELMAS '05 Proceedings of the fourth international workshop on Software engineering for large-scale multi-agent systems
MATES '08 Proceedings of the 6th German conference on Multiagent System Technologies
When to Use a Multi-Agent System?
PRIMA '08 Proceedings of the 11th Pacific Rim International Conference on Multi-Agents: Intelligent Agents and Multi-Agent Systems
Towards Method Engineering for Multi-Agent Systems: A Validation of a Generic MAS Metamodel
Agent Computing and Multi-Agent Systems
An approach to reduce the gap between conceptual and execution models in agent-directed simulations
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Interactive educational games for autistic children with agent-based system
ICEC'05 Proceedings of the 4th international conference on Entertainment Computing
Towards embedding evolution into a multi-agent environment
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
Developing and evaluating a generic metamodel for MAS work products
Software Engineering for Multi-Agent Systems IV
Distributed control of multi-agent systems with random parameters and a major agent
Automatica (Journal of IFAC)
Suitability assessment framework of agent-based software architectures
Information and Software Technology
Reflecting on ontologies: towards ontology-based agent-oriented software engineering
AOW '09 Proceedings of the Fifth Australasian Ontology Workshop - Volume 112
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Economic markets are complex systems. They are characterized by a large and dynamic population of firms. To deal with this complexity, we propose an adaptive multiagent system which models a set of firms in competition with each other within a shared market. The firms are represented by agents; each firm is represented by an adaptive agent. We show the advantages of adaptive agents to represent firms. Moreover, we underline the limits of the economic models which account for the firms only and ignore the organizational forms. We propose a new adaptive multiagent model that includes the organizational forms into the economic models. We simulate this model and discuss its advantages.