Intelligence without representation
Artificial Intelligence
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
A dynamical systems perspective on agent-environment interaction
Artificial Intelligence - Special volume on computational research on interaction and agency, part 1
Understanding intelligence
Catching Ourselves in the Act: Situated Activity, Interactive Emergence, Evolution, and Human Thought
Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
Agency in Natural and Artificial Systems
Artificial Life
Principles of Minimal Cognition: Casting Cognition as Sensorimotor Coordination
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
Toward Spinozist Robotics: Exploring the Minimal Dynamics of Behavioral Preference
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Modeling adaptive autonomous agents
Artificial Life
Measuring autonomy by multivariate autoregressive modelling
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Is an embodied system ever purely reactive?
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
On the Role of Social Interaction in Individual Agency
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Autonomy of Self at Criticality: The Perspective from Synthetic Neuro-Robotics
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Norm-establishing and norm-following in autonomous agency
Artificial Life
Motility at the origin of life: Its characterization and a model
Artificial Life
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The concept of agency is of crucial importance in cognitive science and artificial intelligence, and it is often used as an intuitive and rather uncontroversial term, in contrast to more abstract and theoretically heavily weighted terms such as intentionality , rationality, or mind. However, most of the available definitions of agency are too loose or unspecific to allow for a progressive scientific research program. They implicitly and unproblematically assume the features that characterize agents, thus obscuring the full potential and challenge of modeling agency. We identify three conditions that a system must meet in order to be considered as a genuine agent: (a) a system must define its own individuality, (b) it must be the active source of activity in its environment (interactional asymmetry), and (c) it must regulate this activity in relation to certain norms (normativity). We find that even minimal forms of proto-cellular systems can already provide a paradigmatic example of genuine agency. By abstracting away some specific details of minimal models of living agency we define the kind of organization that is capable of meeting the required conditions for agency (which is not restricted to living organisms). On this basis, we define agency as an autonomous organization that adaptively regulates its coupling with its environment and contributes to sustaining itself as a consequence. We find that spatiality and temporality are the two fundamental domains in which agency spans at different scales. We conclude by giving an outlook for the road that lies ahead in the pursuit of understanding, modeling, and synthesizing agents.