Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Ants War with Evolutive Pheromone Style Communication
ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
Lingodroids: socially grounding place names in privately grounded cognitive maps
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
A simple metric for turn-taking in emergent communication
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
EELC'06 Proceedings of the Third international conference on Emergence and Evolution of Linguistic Communication: symbol Grounding and Beyond
An overview of cooperative and competitive multiagent learning
LAMAS'05 Proceedings of the First international conference on Learning and Adaption in Multi-Agent Systems
The physical symbol grounding problem
Cognitive Systems Research
Rewards for pairs of Q-learning agents conducive to turn-taking in medium-access games
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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Artificial Life models have consistently implemented communication as an exchange of signals over dedicated and functionally isolated channels. I argue that such a feature prevents models from providing a satisfactory account of the origins of communication and present a model in which there are no dedicated channels. Agents controlled by neural networks and equipped with proximity sensors and wheels are presented with a co-ordinated movement task. It is observed that functional, but non-communicative, behaviours which evolve in the early stages of the simulation both make possible, and form the basis of, the communicative behaviour which subsequently evolves.