Made-up minds: a constructivist approach to artificial intelligence
Made-up minds: a constructivist approach to artificial intelligence
An adaptive communication protocol for cooperating mobile robots
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Tree based discretization for continuous state space reinforcement learning
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
How should a robot discriminate between objects? a comparison between two methods
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Representation and Reality
Brains, Behavior and Robotics
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Machine Learning
Reinforcement learning with selective perception and hidden state
Reinforcement learning with selective perception and hidden state
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A model for the formation of situation concepts is described. A characteristic of this form of concept formation is that it does not require instructive feedback. This renders it suitable for concept formation by autonomous agents. It is experimentally demonstrated that situation concepts constructed independently by several agents can convey useful information between agents through a learned system of communication. A relation was found between the development of the learned system of communication and the duration of the situations.