2016/02/17 by Paul Baxter, Baxter, Paul
Computer Science · Psychology · #Action Observation and Synchronization #Child and Animal Learning Development #FOS: Computer and information sciences #Language, Metaphor, and Cognition #Robotics (cs.RO) #Social Robot Interaction and HRI #Speech and dialogue systems #cs.RO
paper · pdf · doi:10.48550/arxiv.1602.05638
Presented at 2nd Workshop on Cognitive Architectures for Social Human-Robot Interaction 2016 (arXiv:1602.01868)"
openalex publication_date 2016/02/17 · arxiv created 2016/02/18 · arxiv updated 2016/02/19 · openalex created_date 2022/08/31 · openalex updated_date 2026/07/28
The Memory-Centred Cognition perspective places an active association substrate at the heart of cognition, rather than as a passive adjunct. Consequently, it places prediction and priming on the basis of prior experience to be inherent and fundamental aspects of processing. Social interaction is taken here to minimally require contingent and co-adaptive behaviours from the interacting parties. In this contribution, I seek to show how the memory-centred cognition approach to cognitive architectures can provide an means of addressing these functions. A number of example implementations are briefly reviewed, particularly focusing on multi-modal alignment as a function of experience-based priming. While there is further refinement required to the theory, and implementations based thereon, this approach provides an interesting alternative perspective on the foundations of cognitive architectures to support robots engage in social interactions with humans.