From Animals to Animats 3

From Animals to Animats 3

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August 8-12, 1994, Brighton, England From Animals to Animats 3 brings together research intended to advance the fron tier of an exciting new approach to understanding intelligence. The contributors represent a broad range of interests from artificial intelligence and robotics to ethology and the neurosciences. Unifying these approaches is the notion of qanimatq -- an artificial animal, either simulated by a computer or embodied in a robot, which must survive and adapt in progressively more challenging environments. The 58 contributions focus particularly on well-defined models, computer simulations, and built robots in order to help characterize and compare various principles and architectures capable of inducing adaptive behavior in real or artificial animals. Topics include: - Individual and collective behavior. - Neural correlates of behavior. - Perception and motor control. - Motivation and emotion. - Action selection and behavioral sequences. - Ontogeny, learning, and evolution. - Internal world models and cognitive processes. - Applied adaptive behavior. - Autonomous robots. - Heirarchical and parallel organizations. - Emergent structures and behaviors. - Problem solving and planning. - Goal-directed behavior. - Neural networks and evolutionary computation. - Characterization of environments. A Bradford BookWe wish to allow a mobile robot to explore a 10 metre by 10 metre environment, which contains obstacles unknown to it at the outset, ... [Lin 1993], it is fortuitous that a Neural Network representation of the V- or Q-functions can make the switch from a discrete input space to ... Learning. Continuous. Environmental. MoiMii. 199.

Title:From Animals to Animats 3
Author:Dave Cliff
Publisher:MIT Press - 1994


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