Cognitive architecture for human–robot interaction: Towards behavioural alignment
| Autor: | Paul Baxter, Joachim de Greeff, Tony Belpaeme |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Computer science
business.industry Cognitive Neuroscience Experimental and Cognitive Psychology Cognition Cognitive architecture Architectural principles Human–robot interaction Robotic systems Artificial Intelligence Social cognition Artificial intelligence business Competence (human resources) Associative property |
| Zdroj: | Biologically Inspired Cognitive Architectures. 6:30-39 |
| ISSN: | 2212-683X |
| DOI: | 10.1016/j.bica.2013.07.002 |
| Popis: | With increasingly competent robotic systems desired and required for social human–robot interaction comes the necessity for more complex means of control. Cognitive architectures (specifically the perspective where principles of structure and function are sought to account for multiple cognitive competencies) have only relatively recently been considered for applica- tion to this domain. In this paper, we describe one such set of architectural principles – acti- vation dynamics over a developmental distributed associative substrate – and show how this enables an account of a fundamental competence for social cognition: multi-modal behavioural alignment. Data from real human–robot interactions is modelled using a computational system based on this set of principles to demonstrate how this competence can therefore be consid- ered as embedded in wider cognitive processing. It is shown that the proposed system can model the behavioural characteristics of human subjects. While this study is a simulation using real interaction data, the results obtained validate the application of the proposed approach to this issue. |
| Databáze: | OpenAIRE |
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