Topics
Cognitive Modelling
Complexity/Complex Systems/Dynamic Systems
Computational Learning Theory
Computational Neuroscience
Connectionism
Evolutionary Computation
Hidden Markov Models
Human Computer Interaction
Machine Learning and Vision
Robotics
Statistical Learning Theory
Brain
Cerebellum
Cerebral Cortex
Cognitive Neuroscience
Hippocampus
Limbic System
Neural Networks
Neural Plasticity
Neuron
Thalamus
Time/Timing
Visual Anatomy and Physiology
From Animals to Animats 6
The Animals to Animats Conference brings together researchers from ethology, psychology, ecology, artificial intelligence, artificial life, robotics, engineering, and related fields to further understanding of the behaviors and underlying mechanisms that allow natural and synthetic agents (animats) to adapt and survive in uncertain environments. The work presented focuses on well-defined models—robotic, computer-simulation, and mathematical—that help to characterize and compare various organizational principles or architectures underlying adaptive behavior in both natural animals and animats.