Applying Artificial Intelligence to Career Consultation: A Case Based Reasoning Paradigm for Knowledge Management | ||
| The International Journal of Humanities | ||
| Article 5, Volume 11, Issue 3, 2004, Pages 81-90 PDF (3.96 M) | ||
| Author | ||
| Mohammad Fathian Brojeny* | ||
| University of Science Technology | ||
| Abstract | ||
| Human resource plays a key role in a society and also for all kind of organization, therefore offering a reasonable and intelligent way for selection of a suitable and essential career. Artificial Intelligence (AI) is used today in science, engineering, business, manufacturing, management and many other fields. Expert systems as a branch of AI have attracted the at-tention of mostly large and medium organizations for doing some human’s activities. Case Based Reasoning (CBR) is also a new problem solving paradigm that in many ways is fun-damentally different from other major AI approaches. Instead of relying solely on general knowledge of a problem domain, or making associations along generalized relationships be-tween problem descriptors and conclusions, CBR is able to utilize the specific knowledge of previously experienced situations. This research work presents a model for designing an intelligent career consultation system using case-based reasoning which recommends suitable jobs for applicants. This system, as a sample, has been implemented in an Iranian organization. | ||
| Keywords | ||
| Human Resource Management; career consultation; case-based reasoning | ||
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