Modelling Concept Prototype Competencies using a Developmental Memory Model
Autor: | Rachel Wood, Joachim de Greeff, Paul Baxter, Tony Belpaeme |
---|---|
Rok vydání: | 2012 |
Předmět: |
Technology
Knowledge representation and reasoning Computer science Cognitive Neuroscience cognitive architecture Behavioural sciences G750 Cognitive Modelling Behavioral Neuroscience Developmental Neuroscience Artificial Intelligence Human–computer interaction Competence (human resources) distributed associative memory business.industry Concept development Cognition daim Cognitive architecture concept development G400 Computer Science Human-Computer Interaction Artificial intelligence Memory model business conceptual spaces |
Zdroj: | Paladyn: Journal of Behavioral Robotics, Vol 3, Iss 4, Pp 200-208 (2012) |
ISSN: | 2081-4836 |
DOI: | 10.2478/s13230-013-0105-9 |
Popis: | The use of concepts is fundamental to human-level cognition, but there remain a number of open questions as to the structures supporting this competence. Specifically, it has been shown that humans use concept prototypes, a flexible means of representing concepts such that it can be used both for categorisation and for similarity judgements. In the context of autonomous robotic agents, the processes by which such concept functionality could be acquired would be particularly useful, enabling flexible knowledge representation and application. This paper seeks to explore this issue of autonomous concept acquisition. By applying a set of structural and operational principles, that support a wide range of cognitive competencies, within a developmental framework, the intention is to explicitly embed the development of concepts into a wider framework of cognitive processing. Comparison with a benchmark concept modelling system shows that the proposed approach can account for a number of features, namely concept-based classification, and its extension to prototype-like functionality. |
Databáze: | OpenAIRE |
Externí odkaz: |