Intelligence without representation
Artificial Intelligence
Artificial Intelligence - Special volume on computational research on interaction and agency, part 2
Adapting the environment instead of oneself
Adaptive Behavior - Special issue on environment structure and behavior
Adaptive Behavior
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Neural Networks - Special issue on organisation of computation in brain-like systems
Natural language from artificial life
Artificial Life
Selective Representing and World-Making
Minds and Machines
Agent-based modelling and the environmental complexity thesis
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
Genetic Programming and Evolvable Machines
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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Organisms across species use the strategy of generating structures in their environment to lower cognitive complexity. Examples include pheromones, markers, color codes, etc. We provide a model of how such structures originate, and present a simulation where organisms with only reactive behavior learn, within their lifetime, to add such structures to their world to lower cognitive load. This implementation is then extended to show that the same underlying process could generate internal traces of the world (memories) in an internal environment. This model provides a novel account of the origin of internal representations. Further, as both external and internal traces are generated using the same mechanism, the model shows how an extended mind could be implemented. Also, as the stored internal traces develop entirely out of actions, these action components could be activated implicitly. This feature explains the origin of enactable and action-oriented mental content, suggested by recent experiments.