A bottom-up mechanism for behavior selection in an artificial creature
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Robotic experiments in cricket phonotaxis
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Evolving action selection and selective attention without actions, attention, or selection
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Modeling adaptive autonomous agents
Artificial Life
Spatially Explicit Models of Forager Interference
ECAL '01 Proceedings of the 6th European Conference on Advances in Artificial Life
ECAL '01 Proceedings of the 6th European Conference on Advances in Artificial Life
The evolution of optimal foraging strategies in populations of digital organisms
Proceedings of the 13th annual conference on Genetic and evolutionary computation
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
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In 1961, Herrnstein [4] famously observed tliat many animals match the frequency of their response to different stimuli in proportion to the reinforcement obtained from each stimulus type. Since then, a great deal of research has attempted to elucidate the mechanisms underlying this "matching law", so far without a clear consensus emerging. Here, we take the view that "choice behaviour" is a product of agent, environment, and observer, and that "mechanisms of choice" are therefore not to be located solely within the chooser. A simple model, employing the novel methodology of evolving choice behaviour in a multi-agent system, is used to demonstrate that matching behaviour can occur (in stable environments) without any dedicated choice mechanism.