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
What computers still can't do: a critique of artificial reason
What computers still can't do: a critique of artificial reason
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Mind as motion: explorations in the dynamics of cognition
Mind as motion: explorations in the dynamics of cognition
Cambrian intelligence: the early history of the new AI
Cambrian intelligence: the early history of the new AI
Understanding intelligence
Situated Cognition: On Human Knowledge and Computer Representations
Situated Cognition: On Human Knowledge and Computer Representations
The Artificial Life Route to Artificial Intelligence: Building Embodied, Situated Agents
The Artificial Life Route to Artificial Intelligence: Building Embodied, Situated Agents
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Intelligent Agents on the Internet: Fact, Fiction, and Forecast
IEEE Expert: Intelligent Systems and Their Applications
Isotropic sequence order learning
Neural Computation
Embodied cognition: a field guide
Artificial Intelligence
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
When is a cognitive system embodied?
Cognitive Systems Research
Foundations and Trends in Robotics
An Active Vision System for Detecting, Fixating and Manipulating Objects in the Real World
International Journal of Robotics Research
Traversability: A Case Study for Learning and Perceiving Affordances in Robots
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Visual object-action recognition: Inferring object affordances from human demonstration
Computer Vision and Image Understanding
Goal emulation and planning in perceptual space using learned affordances
Robotics and Autonomous Systems
Learning the semantics of object-action relations by observation
International Journal of Robotics Research
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Embodied cognition suggests that complex cognitive traits can only arise when agents have a body situated in the world. The aspects of embodiment and situatedness are being discussed here from the perspective of linear systems theory. This perspective treats bodies as dynamic, temporally variable entities, which can be extended (or curtailed) at their boundaries. We show how acting agents can, for example, actively extend their body for some time by incorporating predictably behaving parts of the world and how this affects the transfer functions. We suggest that primates have mastered this to a large degree increasingly splitting their world into predictable and unpredictable entities. We argue that temporary body extension may have been instrumental in paving the way for the development of higher cognitive complexity as it is reliably widening the cause-effect horizon about the actions of the agent. A first robot experiment is sketched to support these ideas. We continue discussing the concept of Object-Action Complexes (OACs) introduced by the European PACO-PLUS consortium to emphasize the notion that, for a cognitive agent, objects and actions are inseparably intertwined. In another robot experiment we devise a semi-supervised procedure using the OAC-concept to demonstrate how an agent can acquire knowledge about its world. Here the notion of predicting changes fundamentally underlies the implemented procedure and we try to show how this concept can be used to improve the robot's inner model and behaviour. Hence, in this article we have tried to show how predictability can be used to augment the agent's body and to acquire knowledge about the external world, possibly leading to more advanced cognitive traits.