An Agent-Based Hybrid Intelligent Tutoring System for Legal Domain

Resumo

Resumo: In this paper we propose an agent-based hybrid Intelligent Tutoring System (ITS) for Legal domain by combining Case-based Reasoning (CBR) and Rule-based System (RBS). This system has been developed taking into consid- eration a Problem-based Learning as a pedagogical approach. The idea is to engage law students in interactions with the ITS based on the resolution of legal problems. The start point of these interactions occurs when ITS submits a pe- nal situation to law students. Then, the students are expected to learn through two fundamental but different skills to solve legal problems. First, should have to know how to retrieve relevant cases and legal concepts about the cases, and second, how to use them effectively as examples for justifying positions in a legal argument.

Abstract: In this paper we propose an agent-based hybrid Intelligent Tutoring System (ITS) for Legal domain by combining Case-based Reasoning (CBR) and Rule-based System (RBS). This system has been developed taking into consid- eration a Problem-based Learning as a pedagogical approach. The idea is to engage law students in interactions with the ITS based on the resolution of legal problems. The start point of these interactions occurs when ITS submits a pe- nal situation to law students. Then, the students are expected to learn through two fundamental but different skills to solve legal problems. First, should have to know how to retrieve relevant cases and legal concepts about the cases, and second, how to use them effectively as examples for justifying positions in a legal argument.