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Can I read Problem Solving Through Imitation on EtoBox?
Problem Solving Through Imitation by Eng-Jon Ong; Liam Ellis; Richard Bowden is a Computer Science article available to read on EtoBox.
What is Problem Solving Through Imitation about?
This paper presents an approach to problem solving through imitation. It introduces the Statistical and Temporal Percept Action Coupling (ST-PAC) System which statistically models the dependency between the perceptual state of the world and the resulting actions that this state should elicit. The ST-PAC system stores a sparse set of experiences provided by a teacher. These memories are stored to allow efficient recall and generalisation over novel systems states. Random exploration is also used as a fall-back ''brute-force" mechanism should a recalled experience fail to solve a scenario. Statistical models are used to couple groups of percepts with similar actions and incremental learning used to incorporate new experiences into the system. The system is demonstrated within the problem domain of a children's shape sorter puzzle. The ST-PAC system provides an emergent architecture where competence is implicitly encoded within the system. In order to train and evaluate such emergent architectures, the concept of the Complexity Chain is proposed. The Complexity Chain allows efficient structured learning in a similar fashion to that used in biological system and can also be used as a m
Who reads Problem Solving Through Imitation?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Eng-Jon Ong; Liam Ellis; Richard Bowden
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0262-8856)
- Published
- 2009
- Language
- EN
- Field
- Computer Science (Physical Sciences)