Complexity/Complex Systems/Dynamic Systems
Hidden Markov Models
Machine Learning and Vision
Visual Anatomy and Physiology
Motor Control and Learning
Perception and Sensation
From Animals to Animats 3
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 "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 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.
- 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 Book