The society of mind
Unified theories of cognition
Made-up minds: a constructivist approach to artificial intelligence
Made-up minds: a constructivist approach to artificial intelligence
Technical Note: \cal Q-Learning
Machine Learning
Image and brain: the resolution of the imagery debate
Image and brain: the resolution of the imagery debate
Multiple paired forward and inverse models for motor control
Neural Networks - Special issue on neural control and robotics: biology and technology
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Self-Organizing Maps
Fuzzy-based Schema Mechanisms in AKIRA
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-2 (CIMCA-IAWTIC'06) - Volume 02
Classifier fitness based on accuracy
Evolutionary Computation
Semiotic schemas: A framework for grounding language in action and perception
Artificial Intelligence - Special volume on connecting language to the world
A schema based model of the praying mantis
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Mind as an anticipatory device: for a theory of expectations
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
Coordinating with the Future: The Anticipatory Nature of Representation
Minds and Machines
Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems
Anticipatory Behavior in Adaptive Learning Systems
Goal emulation and planning in perceptual space using learned affordances
Robotics and Autonomous Systems
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How can goals be represented in natural and artificial systems? How can they be learned? How can they trigger actions? This paper describes, analyses and compares two of the most influential models of goal-oriented behavior: the ideomotor principle (IMP), which was introduced in the psychological literature, and the "test, operate, test, exit" model (TOTE), proposed in the field of cybernetics. This analysis indicates that the IMP and the TOTE highlight complementary aspects of goal-orientedness. In order to illustrate this point, the paper reviews three computational architectures that implement various aspects of the IMP and the TOTE, discusses their main peculiarities and limitations, and suggests how some of their features can be translated into specific mechanisms in order to implement them in artificial intelligent systems.