A Task-Specific Problem-Solving Architecture for Candidate Evaluation

research literature, in both AI and the social sciences, dealing with evaluation methodology. Evaluation is often described in terms of establishing numeric scores or qualitative ratings for a candidate. Candidates are usually represented in terms of attributes (criteria) that are relevant to the evaluation. Many models involve a weighted scoring process, where the weights indicate the importance levels of the attributes being scored. Such models have been used in education (Beggs and Lewis 1975), marketing (Wright 1975), Many of the problems we encounter in our day-to-day lives involve deciding between a set of options, or candidates. In these kinds of problems, one needs to determine the worthiness of each candidate to select the best one. Other problems involve assessing an individual candidate’s strengths and weaknesses to suggest ways of improving its performance. Both types of problems require the process of evaluation. In schools, for example, students are evaluated for both remedial purposes and selection and ranking. Articles