An Application of Cognitive Emotional Agent Architecture to Corporate Human Resource Management

Introduction Case based learning, as proposed by Roger Schank was introduced into corporate training methodology as an outcome of cognitive science research (Schank, 1995). The authors propose to introduce cognitive science research results not only to the corporate training service, but also to the corporate Human Resource Management (HRM) system. The Corporate HRM system consists of evaluation as the central sub-system, as well as recruiting, Career Development Program (CDP), payment, promoting, and learning sub-systems. A problem in corporate HRM is the lack of a common HR evaluation data format shared by all companies. Another problem is the difficulty to describe a business process for HR evaluation. To achieve a consensus in HR evaluation conflicts, between an evaluator (e.g. manager) and an evaluatee (March & Simon, 1993) a concept introduced by March and Simon is often used.. To solve those problems in this research we developed a cognitive emotional agent architecture which can be used to describe HR evaluation categories. We also introduced an ontology of HR evaluation categories to connect the knowledge representation of the agent architecture. A business process simulator is also being developed to simulate the agent architecture.