September 9th-13th, 1996, Cape Cod, Massachusetts
From Animals to Animats 4 brings together the latest research at the frontier 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 "animat"—an artificial animal, either simulated by a computer or embodied in a robot, which must survive and adapt in progressively more challenging environments. The 66 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.
Major topics, all from the perspective of adaptive behavior, include: The Animat Approach to Adaptive Behavior, Perception and Motor Control, Action Selection and Behavioral Sequences, Internal World Models and Navigation, Motivation and Emotions, Learning, Evolution, Coevolution, Collective Behavior.
From Animals to Animats 4 brings together the latest research at the frontier 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 "animat"—an artificial animal, either simulated by a computer or embodied in a robot, which must survive and adapt in progressively more challenging environments. The 66 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.
Major topics, all from the perspective of adaptive behavior, include: The Animat Approach to Adaptive Behavior, Perception and Motor Control, Action Selection and Behavioral Sequences, Internal World Models and Navigation, Motivation and Emotions, Learning, Evolution, Coevolution, Collective Behavior.
