Computation at the edge of chaos: phase transitions and emergent computation
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
A mathematical model for the behavior of pedestrians
Behavioral Science
Evolving cellular automata to perform computations: mechanisms and impediments
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Edges and computation in excitable media (poster)
ALIFE Proceedings of the sixth international conference on Artificial life
Mean Field Theory of the Edge of Chaos
Proceedings of the Third European Conference on Advances in Artificial Life
Voronoi-like nondeterministic partition of a lattice by collectives of finite automata
Mathematical and Computer Modelling: An International Journal
Lorentz lattice gases and many-dimensional Turing machines
Collision-based computing
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This model deals with collectives of mobile agents (finite automata) that move on a two-dimensional lattice in discrete time. In every trial, all automata start their evolution at the same lattice node. Every automaton moves from its current node to one of the randomly chosen neighbours if there is another automaton at the same node or if the number of other automata in the neighbourhood belongs to some specified interval of integers. This interval is referred to an interval of activation. All agents find their appropriate positions and stop. The stationary global pattern of resting agents is eventually formed. Such patterns form a key subject of the paper. To group all intervals of activation onto different classes based on the morphological characteristics of the classes is a main task of the first part of the paper. The rest of the paper is devoted to investigation concerning the complete consistent parameterisation of the pattern formation rules of lattice swarm.