title: Agent-based cognitive model for human resources competence management.
abstract: This chapter presents an agent-based cognitive model aimed to represent human competency concepts and competence management processes of psychological nature. This model is implemented by a multiagent system application intended to help managers of software development projects to select, based on the competence management model, the right professionals to integrate a development team. There are several software engineering methodologies that can be used to design and develop multiagent systems. However, due to the necessity to handle human competency concepts of cognitive nature, like aptitudes, interests, abilities and knowledge, we were driven to choose methodologies that can handle these concepts since the inception of the system. To do so, we integrated the TROPOS methodology, and a set of software engineering methods derived from intelligent tutoring systems research to successfully analyze and design the proposed system. At the end of the paper we present a study case, showing how the proposed system should be applied to the domain of website development.
authors.affiliation: Pós-Graduação em Computação Aplicada (PIPCA), Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, RS, Brazil. stefanoliver@gmail.com
authors.forename: Stefan
authors.initials: S
authors.lastname: Oliveira
authors.forename: João Carlos
authors.initials: JC
authors.lastname: Gluz
mesh_terms: D001185:Artificial Intelligence; D003071:Cognition / Q000502:physiology*; D003628:Database Management Systems; D006801:Humans; D008328:Man-Machine Systems; D008960:Models, Psychological; D011340:Problem Solving / Q000502:physiology*; D018511:Systems Integration; D013598:Systems Theory