Cooperating agents: a unified theory of communication and social structure
Distributed Artificial Intelligence (Vol. 2)
Sequential behavior and learning in evolved dynamical neural networks
Adaptive Behavior
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
On the dynamics of small continuous-time recurrent neural networks
Adaptive Behavior - Special issue on computational neuroethology
Trajectories to complexity in artificial societies: rationality, belief, and emotions
Dynamics in human and primate societies
Modeling sociality: the view from Europe
Dynamics in human and primate societies
Finding Agents in a Two-Dimensional Boolean STaM
AICS '02 Proceedings of the 13th Irish International Conference on Artificial Intelligence and Cognitive Science
Algorithmic Analysis of Production Systems Used as Agent-Based Social Simulation Models
Epistemological Aspects of Computer Simulation in the Social Sciences
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We propose an abstract mathematical model of space and time within which to study agents, multi-agent systems and their environments. The model is unusual in three ways: an attempt is made to reduce the structure and behaviour of agents and their environment to the properties of the "matter" of which they are composed, a "block time" perspective is taken rather than a "past/present/future" perspective, and the emphasis is placed on discovering agents within the model, rather than on designing agents into it. The model is developed in a little semi-formal detail, some relevant experimental computational results are reported, and questions prompted by the model are discussed.