Cognitive architecture for human–robot interaction: towards behavioural alignment

Baxter, Paul E., de Greeff, Joachim and Belpaeme, Tony (2013) Cognitive architecture for human–robot interaction: towards behavioural alignment. Biologically Inspired Cognitive Architectures, 6 . pp. 30-39. ISSN 2212-683X

Full text not available from this repository.

Item Type:Article
Item Status:Live Archive


Abstract 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.

Keywords:DAIM; Memory-based cognition; Human–robot interaction; Social alignment
Subjects:G Mathematical and Computer Sciences > G750 Cognitive Modelling
G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G440 Human-computer Interaction
Divisions:College of Science > School of Computer Science
Related URLs:
ID Code:23076
Deposited On:28 Apr 2016 15:02

Repository Staff Only: item control page