Multifacetted modelling and discrete event simulation
Multifacetted modelling and discrete event simulation
Reducing bias and inefficiency in the selection algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Unified theories of cognition
Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
Computer science as empirical inquiry: symbols and search
Communications of the ACM
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Continuous System Modeling
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
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
Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
Policy iteration for decentralized control of Markov decision processes
Journal of Artificial Intelligence Research
Planning and acting in partially observable stochastic domains
Artificial Intelligence
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
An Introduction to MultiAgent Systems
An Introduction to MultiAgent Systems
A Comprehensive Survey of Multiagent Reinforcement Learning
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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In present agent definitions, we often find different names and definitions for similar concepts. Many works on multiagent systems use abstract and informal descriptions to introduce the topic. Even books on multiagent systems often lack a formal definition or use a selfcontained formalism. Our goal is to present a universal and formal description for agent systems that can be used as a core model with other existing models as special cases. This core model allows clear specification of agent systems and their properties. Design decisions are made explicitly and, by that, become a mean of comparison for different approaches. The proposed definitions for single- and multiagent systems address all basic properties while leaving space for extensions and can thus be used to talk about concepts using a homogeneous notation. The comparisons of our definition to existing models show that the most-cited descriptions can be expressed with our formalism which shows that there is a basic consensus on fundamental properties of agent systems.