Conditioning and Concept Formation in Embodied Agents

Stewart, Terry and Wood, Sharon (2001) Conditioning and Concept Formation in Embodied Agents. In: AAAI Spring Symposium in Learning Grounded Representations, Stanford, USA.

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Abstract

Learning algorithms typically model the acquisition of con- ceptual knowledge from some start state to some fixed learned end state. Natural associative learning demonstrates a more comprehensive range of processes which complement this static view of learning. An experimental regimen is pre- sented for evaluating learning algorithms against this wider remit. This approach provides a general basis for analysing performance and measuring concept formation. We use it here to examine the Distributed Adaptive Control (DAC2) model.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Originality: Previous work discusses performance in an incomplete way; this work uses a methodology to identify gaps and weaknesses in performance in order to provide a more complete view of the phenomena investigated. Discusses requirements for the achievement of `conditional learning in autonomous/robotic systems based on existing work of others towards this goal and the limitations and omissions identified therein. Rigour: The work uses a systematic methodology to provide a careful analysis of evidence to support claims in the literature to have achieved `conditional learning in an autonomous system, in relation to psychological theory. Significance: Demonstrates ability to identify weaknesses and deficits in performance through application of the methodology presented. This is used to systematically establish the extent to which the criteria for, specifically, `classical conditioning and, non-specifically, other forms of (associative) learning have been met. The use of this methodology is novel in application to autonomous systems, to evaluate performance in relation to all predictions within the paradigm, rather than a select few (for which the system may have been designed). Impact: First meeting in a burgeoning area.
Schools and Departments: School of Engineering and Informatics > Informatics
Depositing User: Sharon Wood
Date Deposited: 06 Feb 2012 20:22
Last Modified: 13 Apr 2012 14:32
URI: http://sro.sussex.ac.uk/id/eprint/25625
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