Name
Abstract | ||
|---|---|---|
This paper presents the pertinence of the use of the Answer Set Programming (ASP) formalism for developing a computational model of a software agent for Computer Supported Collaborative Learning (CSCL) environments. This analytic model is based on a representation of for agent's beliefs about the learner and the domain, together with the corresponding inference system with the appropriate rules to derive new beliefs about the capabilities of the learner, and its use in order to support effective collaboration and maintain learning possibilities for the group members. The model provides a representation of the structural knowledge frontier and the social knowledge frontier of the learner, which are the components for the definition of the learner's zone of proximal development (zpd). Based on the zpd of its learner the agent can propose her a learning task and maintain the zpd for the learner in the group. The complete code of the model is presented in the declarative language of DLV, a logic programming language for implementing ASP models. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11579427_12 | MICAI |
Keywords | Field | DocType |
software agent,structural knowledge frontier,analytic model,logic programming language,answer set programming,declarative language,social knowledge frontier,group member,cscl environment,computational model,asp model,zone of proximal development,computer model | Knowledge representation and reasoning,Zone of proximal development,Collaborative learning,Computer science,Software agent,Artificial intelligence,Declarative programming,Logic programming,Answer set programming,Computer-supported collaborative learning,Machine learning | Conference |
Volume | ISSN | ISBN |
3789 | 0302-9743 | 3-540-29896-7 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gerardo Ayala | 1 | 20 | 3.47 |
| Magdalena Ortiz | 2 | 656 | 50.09 |
| Mauricio Osorio | 3 | 436 | 52.82 |