Moore, R.K. (2020) PCT and beyond: toward a computational framework for ‘intelligent’ communicative systems. In: Mansell, W., (ed.) The Interdisciplinary Handbook of Perceptual Control Theory. Academic Press (Elsevier) , pp. 557-582. ISBN 9780128189481
Abstract
Recent years have witnessed increasing interest in ‘intelligent’ autonomous machines such as robots. However, there is a long way to go before autonomous systems reach the level of capabilities required for even the simplest of tasks involving human-robot interaction - especially if it involves communicative behavior such as speech and language. The field of Artificial Intelligence (AI) has made great strides in these areas, and has graduated from high-level rule-based paradigms to embodied architectures whose operations are grounded in real physical environments. What is still missing, however, is an overarching theory of intelligent communicative behavior that informs system-level design decisions. This chapter introduces a framework that extends the principles of Perceptual Control Theory (PCT) toward a remarkably symmetric architecture for a needs-driven communicative agent. It is concluded that, if behavior is the control of perception (the central tenet of PCT), then perception (for communicative agents) is the simulation of behavior.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © Academic Press 2020. |
Keywords: | Perceptual control theory; Artificial intelligence; Cognitive systems; Robotics; Communicative agents |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Aug 2017 13:36 |
Last Modified: | 14 Jul 2020 08:49 |
Status: | Published |
Publisher: | Academic Press (Elsevier) |
Refereed: | Yes |
Identification Number: | 10.1016/B978-0-12-818948-1.00015-0 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:120573 |