The General Problem Solver (GPS) is a computer program which has been used for explorations into both general mechanisms involved in problem solving and the way that humans solve problems. The program has existed in several versions since its conception in 1957. This report describes attempts to generalize one version, GPS-2-5; i.e., to have it solve many different kinds of problems. GPS's perf...

background: clinical reasoning process leads clinician to get purposeful steps from signs and symptoms toward diagnosis and treatment. this research intends to investigate the effect of teaching clinical reasoning on problem-solving skills of medical students.   methods: this research is a semi-experimental study. nineteen medical student of the pediatric ward as case group participated in a tw...

introduction: mental sets are clues which are already coded and stored in memory, and retrieved when needed. the present study investigated the role of mental sets in solving anagram problems. methods: the design of this study is an experimental with repeated measurement design. the participants were 20 ma students and graduates chosen through voluntary sampling. each of them were required to u...

The application of Artificial Intelligence technology to the field of music has always been fascinating, from the first attempts in automating human problem solving behavior till this day. Human activities related to music vary in their complexity and in their amenability of becoming automated, and for both musicians and AI researchers various questions arise intuitively, e. g.: What are music-...

This study investigated the influence of practical problem-solving tasks (PPST) in promoting meaningful learning (ML) and retention a nonlaboratory chemistry component physical science course for pre-service teachers (PSTs). It utilized mixed-methods research using modified quasi-experimental design followed by detailed analysis change conceptual understanding case participants. The researcher ...

This paper is on the automation of knowledge-intensive tasks in engineering domains; here, the term “task” relates to analysis and synthesis tasks, such as diagnosis and design problems. In the field of Artificial Intelligence there is a long tradition in automated problem solving of knowledge-intensive tasks, and, especially in the early stages, the search paradigm dictated many approaches. La...