Mental models: towards a cognitive science of language, inference, and consciousness
Mental models: towards a cognitive science of language, inference, and consciousness
A neurocomputational perspective: the nature of mind and the structure of science
A neurocomputational perspective: the nature of mind and the structure of science
Unified theories of cognition
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Neural networks for control
Vision-based robot motion planning
Neural networks for control
Intelligence without representation
Artificial Intelligence
Made-up minds: a constructivist approach to artificial intelligence
Made-up minds: a constructivist approach to artificial intelligence
Artificial Intelligence
A dynamical systems perspective on agent-environment interaction
Artificial Intelligence - Special volume on computational research on interaction and agency, part 1
Mind as motion: explorations in the dynamics of cognition
Mind as motion: explorations in the dynamics of cognition
Forward models for physiological motor control
Neural Networks - 1996 Special issue: four major hypotheses in neuroscience
Map learning with uninterpreted sensors and effectors
Artificial Intelligence
Multiple paired forward and inverse models for motor control
Neural Networks - Special issue on neural control and robotics: biology and technology
Adaptive Behavior
Understanding intelligence
Generative character of perception: a neural architecture for sensorimotor anticipation
Neural Networks - Special issue on organisation of computation in brain-like systems
Neural Networks - Special issue on organisation of computation in brain-like systems
Enchanted Looms: Conscious Networks in Brains and Computers
Enchanted Looms: Conscious Networks in Brains and Computers
Being There: Putting Brain, Body, and World Together Again
Being There: Putting Brain, Body, and World Together Again
Foundational Issues in Artificial Intelligence and Cognitive Science: Impasse and Solution
Foundational Issues in Artificial Intelligence and Cognitive Science: Impasse and Solution
Self-Organization in Biological Systems
Self-Organization in Biological Systems
Learning to Predict by the Methods of Temporal Differences
Machine Learning
A Context-Dependent Attention System for a Social Robot
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Imitation in animals and artifacts
Imitation in animals and artifacts
Advances in evolutionary computing
Learning precise timing with lstm recurrent networks
The Journal of Machine Learning Research
Learning and inference in the brain
Neural Networks - Special issue: Neuroinformatics
Learning predictive state representations in dynamical systems without reset
ICML '05 Proceedings of the 22nd international conference on Machine learning
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Semiotic schemas: a framework for grounding language in action and perception
Artificial Intelligence - Special volume on connecting language to the world
Incremental Online Learning in High Dimensions
Neural Computation
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
Predictive state representations with options
ICML '06 Proceedings of the 23rd international conference on Machine learning
Tickling Expectations: Neural Processing in Anticipation of a Sensory Stimulus
Journal of Cognitive Neuroscience
Information and Self-Organization: A Macroscopic Approach to Complex Systems (Springer Series in Synergetics)
Perception through visuomotor anticipation in a mobile robot
Neural Networks
Adaptive mixtures of local experts
Neural Computation
Neural Correlates of Anticipation in Cerebellum, Basal Ganglia, and Hippocampus
Anticipatory Behavior in Adaptive Learning Systems
Anticipatory Behavior in Adaptive Learning Systems
Schema-Based Design and the AKIRA Schema Language: An Overview
Anticipatory Behavior in Adaptive Learning Systems
Computation for metaphors, analogy, and agents
A forward / inverse motor controller for cognitive robotics
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
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
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
Neurofuzzy approaches to anticipation: a new paradigm forintelligent systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
From mirror neurons to joint actions
Cognitive Systems Research
Behavioral Implicit Communication (BIC): Communicating with Smart Environments
International Journal of Ambient Computing and Intelligence
Towards active event recognition
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Multi-timescale nexting in a reinforcement learning robot
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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Humans and other animals are able not only to coordinate their actions with their current sensorimotor state, but also to imagine, plan and act in view of the future, and to realize distal goals. In this paper we discuss whether or not their future-oriented conducts imply (future-oriented) representations. We illustrate the role played by anticipatory mechanisms in natural and artificial agents, and we propose a notion of representation that is grounded in the agent's predictive capabilities. Therefore, we argue that the ability that characterizes and defines a true cognitive mind, as opposed to a merely adaptive system, is that of building representations of the non-existent, of what is not currently (yet) true or perceivable, of what is desired. A real mental activity begins when the organism is able to endogenously (i.e. not as the consequence of current perceptual stimuli) produce an internal representation of the world in order to select and guide its conduct goal-directed: the mind serves to coordinate with the future.