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Agent-based cognitive model for human resources competence management.
Stefan Oliveira1, João Carlos Gluz
1Pós-Graduação em Computação Aplicada (PIPCA), Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, RS, Brazil. stefanoliver@gmail.com
Advances in Experimental Medicine and Biology
|December 19, 2009
Summary
This study introduces an agent-based cognitive model for managing human competencies in software development teams. The system helps managers select professionals based on aptitudes, interests, abilities, and knowledge for project success.
Area of Science:
- Cognitive Science
- Software Engineering
- Artificial Intelligence
Background:
- Effective team composition is crucial for software development project success.
- Managing human competencies, including cognitive aspects like knowledge and abilities, presents unique challenges.
- Existing software engineering methodologies may not adequately address the cognitive nature of human competencies.
Purpose of the Study:
- To present an agent-based cognitive model for representing human competency concepts.
- To implement this model within a multiagent system for practical application.
- To assist software development project managers in selecting the right professionals for their teams.
Main Methods:
- Integration of the TROPOS methodology for system analysis and design.
- Utilization of software engineering methods from intelligent tutoring systems research.
- Development of a multiagent system application to operationalize the cognitive model.
Main Results:
- The proposed model effectively represents human competency concepts of a psychological nature.
- The multiagent system provides a framework for competence-based team selection.
- A study case demonstrates the application of the system in website development.
Conclusions:
- The agent-based cognitive model offers a novel approach to competence management in software engineering.
- The integrated methodologies facilitate the design of systems handling complex cognitive concepts.
- The system has the potential to improve the efficiency and effectiveness of software development team formation.
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