Learning what is relevant to the effects of actions for a mobile robot
AGENTS '98 Proceedings of the second international conference on Autonomous agents
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Continuous categories for a mobile robot
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Abstracting from Robot Sensor Data using Hidden Markov Models
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Discovering Dynamics Using Bayesian Clustering
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
Learning Elements of Representations for Redescribing Robot Experiences
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
Contentful mental states for robot baby
Eighteenth national conference on Artificial intelligence
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One concern of philosophy of mind is how sensorimotor agents such as human infants can develop contentful mental states. This paper discusses Fred Dretske's theory of mental content in the context of results from our work with mobile robots. We argue that Dretske's theory, while attractive in many ways, relies on a distinction between kinds of representations that cannot be practically maintained when the subject of one's study is robotic agents. In addition, Dretske fails to distinguish classes of representations that carry different kinds of mental content. We conclude with directions for a theory of mental content that maintains the strengths of Dretske's theory.