Artificial intelligence: the very idea
Artificial intelligence: the very idea
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
Journal of Experimental & Theoretical Artificial Intelligence
Intelligence without representation
Artificial Intelligence
Today the earwig, tomorrow man?
Artificial Intelligence
Computational neuroethology: a provisional manifesto
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
What computers still can't do: a critique of artificial reason
What computers still can't do: a critique of artificial reason
A dynamical systems perspective on agent-environment interaction
Artificial Intelligence - Special volume on computational research on interaction and agency, part 1
Artificial minds
The conscious mind: in search of a fundamental theory
The conscious mind: in search of a fundamental theory
Introspective multistrategy learning: on the construction of learning strategies
Artificial Intelligence
Understanding intelligence
An Behavior-based Robotics
Being There: Putting Brain, Body, and World Together Again
Being There: Putting Brain, Body, and World Together Again
Embodied cognition: a field guide
Artificial Intelligence
Embodied artificial intelligence
Artificial Intelligence
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
Basic autonomy as a fundamental step in the synthesis of life
Artificial Life
Thirty years of computational autopoiesis: a review
Artificial Life
Autopoiesis and cognition in the game of life
Artificial Life
Artificial Life
Logic, Self-awareness and Self-improvement: the Metacognitive Loop and the Problem of Brittleness
Journal of Logic and Computation
Agency in Natural and Artificial Systems
Artificial Life
New Robotics: Design Principles for Intelligent Systems
Artificial Life
Metacognition in computation: a selected research review
Artificial Intelligence
The Advantages of Evolving Perceptual Cues
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
On What Makes Certain Dynamical Systems Cognitive: A Minimally Cognitive Organization Program
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Energetically autonomous robots: Food for thought
Autonomous Robots
How the Body Shapes the Way We Think: A New View of Intelligence (Bradford Books)
How the Body Shapes the Way We Think: A New View of Intelligence (Bradford Books)
Book review: Strike while the iron is
Artificial Intelligence
Toward Spinozist Robotics: Exploring the Minimal Dynamics of Behavioral Preference
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Adaptivity: From Metabolism to Behavior
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Robotics and Autonomous Systems
The dynamics of associative learning in an evolved situated agent
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Autonomy: a review and a reappraisal
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
New models for old questions: evolutionary robotics and the 'A not B' error
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Philosophical foundations of AI
50 years of artificial intelligence
On the role of AI in the ongoing paradigm shift within the cognitive sciences
50 years of artificial intelligence
The iCub cognitive humanoid robot: an open-system research platform for enactive cognition
50 years of artificial intelligence
IEEE Transactions on Evolutionary Computation
On the Role of Social Interaction in Individual Agency
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Guiding for associative learning: how to shape artificial dynamic cognition
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part I
From adaptive behavior to human cognition: a review of Enaction
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
What nervous systems do: early evolution, input-output, and the skin brain thesis
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Motility at the origin of life: Its characterization and a model
Artificial Life
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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The embodied and situated approach to artificial intelligence (AI) has matured and become a viable alternative to traditional computationalist approaches with respect to the practical goal of building artificial agents, which can behave in a robust and flexible manner under changing real-world conditions. Nevertheless, some concerns have recently been raised with regard to the sufficiency of current embodied AI for advancing our scientific understanding of intentional agency. While from an engineering or computer science perspective this limitation might not be relevant, it is of course highly relevant for AI researchers striving to build accurate models of natural cognition. We argue that the biological foundations of enactive cognitive science can provide the conceptual tools that are needed to diagnose more clearly the shortcomings of current embodied AI. In particular, taking an enactive perspective points to the need for AI to take seriously the organismic roots of autonomous agency and sense-making. We identify two necessary systemic requirements, namely constitutive autonomy and adaptivity, which lead us to introduce two design principles of enactive AI. It is argued that the development of such enactive AI poses a significant challenge to current methodologies. However, it also provides a promising way of eventually overcoming the current limitations of embodied AI, especially in terms of providing fuller models of natural embodied cognition. Finally, some practical implications and examples of the two design principles of enactive AI are also discussed.