Paper Info
Title
Towards A Unifying Framework For Conceptual Represention And Reasoning In Cognitive Systems
Abstract
In this paper we present the rationale adopted for the integration of the knowledge level of Dual-PECCS, a cognitive system for conceptual representation and categorization, with two different cognitive architectures: SOAR and LIDA. In previous works we already showed how the representational and reasoning framework adopted in Dual-PECCS was integrable with diverse cognitive architectures, i.e. ACT-R and CLARION, making different representational assumptions and adopting diverse knowledge processing mechanisms. The additional integrations presented here suggest that the underlying knowledge representation and reasoning structure adopted in Dual-PECCS can be used as a unifying framework for the knowledge level of agents endowed with different cognitive architectures. The current version of the system has been experimentally assessed in a task of conceptual categorization where a target concept illustrated by a simple common-sense linguistic description had to be identified by resorting to a mix of categorization strategies. The output has then been compared to human and artificial responses. The novel integration allowed us to extend our previous evaluation.
Year
DOI
Venue
2017
10.3233/IA-170111
INTELLIGENZA ARTIFICIALE
Keywords
Field
DocType
Knowledge representation, categorization, conceptual spaces, cognitive architectures, SOAR, LIDA, heterogeneous proxytypes, prototypes, exemplars, common-sense reasoning, dual process theory
World Wide Web,Cognitive science,Computer science,Cognitive systems
Journal
Volume
Issue
ISSN
11
2
1724-8035
Citations 
PageRank 
References 
2
0.35
21
Authors
4
Name
Order
Citations
PageRank
Antonio Lieto120029.65
Daniele P. Radicioni216523.17
Valentina Rho3354.42
Enrico Mensa4144.73