Intelligent Agents Supported by Both ASP and Vigotsky's Theory for CSCL Environments

F. Zacarías Flores, M. Osorio Galindo, J. Arrazola Ramírez, and M. Jaimes Perusquia (Mexico)


Intelligent Agents, Vigotsky's Theory, ASP, Updates, CSCL, Collaboration.


An intelligent agent's application based on both Answer Set Programming and Vigotsky's theory for Computer Supported Collaborative Learning (CSCL) environments [4] is presented. Our intention is to formalize concepts of Vigotsky's theory through ASP to support applications CSCL. This obeys to that ASP has proven to be an ad-hoc tool for knowledge representation that is the main element in learning process. Our application is a system that incorporates two theories broadly studied [16, 17]. First, Answer Set Programming that is the realization of much theoretical work on Nonmonotonic Reasoning and Artificial Intelligence applications of Logic Programming in the last 15 years. Second, Vigotsky's theory, in particular, the concepts around the Zone of Proximal Development - ZPD 1978 - of learner, formalized on Answer Set Programming. The main objective is to support investigation among researchers through a CSCL environment.

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