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Chiru, Costin-Gabriel; Rebedea, Traian – Creativity Research Journal, 2017
This article proposes a new fully automated method for identifying creativity that is manifested in a divergent task. The task is represented by chat conversations in small groups, each group having to debate on the same topics, with the purpose of better understanding the discussed concepts. The chat conversations were created by undergraduate…
Descriptors: Creativity, Heuristics, Creative Thinking, Undergraduate Students
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Smith, Raymond – Journal of Workplace Learning, 2017
Purpose: The focus on innovation as a foundational element of enhanced organisational performance has led to the promoting and valuing of greater levels of employee participation in innovation processes. An emergent concept of employee-driven innovation could be argued to have hindered understandings of the creative and transformative nature of…
Descriptors: Innovation, Employees, Transformative Learning, Ethnography
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Carruthers, Sarah; Masson, Michael E. J.; Stege, Ulrike – Journal of Problem Solving, 2012
Recent studies on a computationally hard visual optimization problem, the Traveling Salesperson Problem (TSP), indicate that humans are capable of finding close to optimal solutions in near-linear time. The current study is a preliminary step in investigating human performance on another hard problem, the Minimum Vertex Cover Problem, in which…
Descriptors: Performance, Problem Solving, Graphs, Mathematics
Searle, John R. – Scientific American, 1990
Discusses whether machines can think in the same sense that humans think. Provides four conclusions based on axioms of differences between computer programs and human minds. Compares claims of strong and weak artificial intelligence. (YP)
Descriptors: Artificial Intelligence, Computer Science, Computer Software, Computer Software Development
Lewis, Clayton – 1986
Computer learners often develop explanations of events they observe during training. Recent work on generalization suggests that explanations may be valuable in permitting learners to develop generalizations from one or a few examples. This study explores the idea by describing four generalization paradigms in which explanations play a part:…
Descriptors: Analogy, Cognitive Style, College Students, Computer Science
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Waldrop, M. Mitchell – Science, 1988
Traces the history and function of State, Operator, And Result (SOAR), a general-purpose artificial intelligence program for solving problems. The SOAR can "chunk" the result of a subgoal and learn from previous experiences. The SOAR could be applied to various expert systems. (YP)
Descriptors: Artificial Intelligence, Cognitive Processes, Cognitive Psychology, College Science