Collective sorting and segregation in robots with minimal sensing
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Future Generation Computer Systems - Special issue on cellular automata: promise in computational science
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We investigate collective decision-making and parallel information processing in regular networks of simple mobile agents. We introduce a novel class of locally connected mobile automata networks where each node changes its internal state vector depending on information received from its neighbours. A configuration of the internal states and local sensor information is translated to a propulsive motion of the network's elements. We show how local rules of automaton internal states transitions can govern the evolution of the network toward task-specific topologies. In this paper, we present simple mechanisms which allow a collective of mobile agents to dynamically organise into simple spatial structures.