Problem solving is the very area of artificial intelligence (AI) which, probably, will never result in a complete set of formalized theories, in a pragmatic philosophy, or in a "universal" applied discipline. S
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Problem solving is the process of identifying a goal, carrying out actions to reach this goal, and overcoming obstacles that interfere with reaching the goal. It is a complex cognitive skill, relying on different capabilities including attention, perception, memory, concepts, and usually symbolic pro...
However, a theory-driven scale to extend empowerment into the use of AI for problem-solving is lacking. This study developed and validated an 11-item scale of empowerment in using AI for problem-solving (EUAIPS) based on a proposed conceptual framework that synthesises empowerment and AI-...
Different models of problem solving, however, recognize differ- ent knowledge needs, and, as a result, set up different learning tasks. Some recent models analyze problem solving in terms of generic tasks, methods, and subtasks. These models require the learning of problem- solving concepts such...
Implications of our work are in two areas. First, at the practical level, our framework provides a means for guiding the development of AI systems which embody previously understood problem-solving methods. Second, at the foundations of AI level, our results provide a focal point about which a...
they cannot start problem solving straight away using it. Problem solving relies on deep knowledge of concepts. Pupils need to become familiar with it and practice using it in different contexts before they can make connections, reason and problem solve with it. In fact, some researchers suggest...
Intelligent tutoring system (ITS) provides learners with step-by-step problem-solving support through scaffolding. Most ITSs have been developed in the USA
Problem-finding (PF), defined in this study as the two-step process of problem discovery and problem definition, and problem-solving (PS) play a critical role in catalysing innovation and enhancing organisational performance (Büyükdamgaci, Citation2003; Crossan & Apaydin, Citation2010). While art...
Moreover, we remark that the methods for solving Vertex Cover are simple reduction rules which are “industrial strength” in that they run extremely well in practice (e.g. [9,10]), even for k beyond which would seem reasonable, like k=2000. The reader might wonder: does this matter?