Locating moving entities in indoor environments with teams of mobile robots
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Journal of Artificial Intelligence Research
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To describe phenomena that occur at different time scales, computational models of the brain necessarily must incorporate different levels of abstraction. We argue that at time scales of approximately one-third of a second, orienting movements of the body play a crucial role in cognition and form a useful computational level, termed the embodiment level. At this level, the constraints of the body determine the nature of cognitive operations, since the natural sequentiality of body movements can be matched to the natural computational economies of sequential decision systems. The way this is done is through a system of implicit reference termed deictic, whereby pointing movements are used to bind objects in the world to cognitive programs. We show how deictic bindings enable the solution of natural tasks and argue that one of the central features of cognition, working memory, can be related to moment-by-moment dispositions of body features such as eye movements and hand movements.