Object-oriented simulation with hierarchical, modular models: intelligent agents and endomorphic systems
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Mapping the envelope of social simulation trajectories
MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Simulation Model Design and Execution: Building Digital Worlds
Simulation Model Design and Execution: Building Digital Worlds
Fundamental Structures of Computer Science
Fundamental Structures of Computer Science
Expert Systems: Principles and Programming
Expert Systems: Principles and Programming
Selected papers from the UKMAS Workshop on Foundations and Applications of Multi-Agent Systems
Simulation for the Social Scientist
Simulation for the Social Scientist
Modelling a Typical Guerrilla War
DIS '06 Proceedings of the IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications
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Algorithmic analysis of models is a standard tool in general, but is rarely attempted in the context of computer models for agent-based social simulation. We explore the algorithmic analysis of simulation models that take the form of production systems as defined in computer science. Several implemented analysis algorithms for a particular type of production system are described, including algorithms for model abstraction and for agent discovery. Examples of the use of these algorithms are given and their significance and potential considered. In particular, it is explained how an algorithm for model abstraction, developed in the context of production system models, has been successfully applied to the Iruba model of a guerrilla war, a complex multi-agent model programmed in C, a general purpose programming language.