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Blijlevens, Janneke – Journal of Marketing Education, 2023
Marketers and designers are likely to work together on innovation teams as they both have customer satisfaction as their end goals. Collaboration between these disciplines in innovation teams is often impaired due to the different thought-worlds that drive decision making: intuitive versus rational. To facilitate collaboration between design and…
Descriptors: Marketing, Teaching Methods, Design, Guidelines
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Laureano-Cruces, Ana Lilia; Ramirez-Rodriguez, Javier; de Arriaga, Fernando; Escarela-Perez, Rafael – Interactive Learning Environments, 2006
Intelligent learning systems (ILSs) have evolved in the last few years basically because of influences received from multi-agent architectures (MAs). Conflict resolution among agents has been a very important problem for multi-agent systems, with specific features in the case of ILSs. The literature shows that ILSs with cognitive or pedagogical…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Conflict Resolution, Cognitive Style
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Kugel, Peter – Journal of Computers in Mathematics and Science Teaching, 1985
The nature of thinking is the subject of this second part in a series which is examining various topics and issues related to the controversy of whether or not computers can think. Suggests that intelligence is the ability to develop general ideas and not the ability to apply those ideas. (JN)
Descriptors: Artificial Intelligence, Computer Science, Computers, Higher Education
Stansfield, James L.; And Others – 1976
An Intelligent Computer Aided Instruction (ICAI) program that incorporates an Expert module which allows the tutor to compare the student's response to those generated by an expert was developed for use with Wumpus, a simple maze-exploration game. The Wumpus Advisor program offers advice to a player involved in choosing the best move in a game for…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Programs, Decision Making Skills
Falkenhainer, Brian; And Others – 1986
This paper describes the Structure-Mapping Engine (SME), a cognitive simulation program for studying human analogical processing. SME is based on Gentner's Structure-Mapping theory of analogy, and provides a "tool kit" for constructing matching algorithms consistent with this theory. This flexibility enhances cognitive simulation studies by…
Descriptors: Algorithms, Artificial Intelligence, Cognitive Processes, Cognitive Structures
Goldman, Steven L. – Science, Technology and Society, 1985
Describes and outlines the general syllabus of a philosophy course entitled, "Minds and Robots." Lists the assigned readings and explains the issues addressed in the 14-week course. Essay questions that are used for the mid-term and final exams are also included. (ML)
Descriptors: Artificial Intelligence, Cognitive Development, Course Content, Course Descriptions
Kirkpatrick, Susan N.; Biglan, Barbara – Computing Teacher, 1990
Describes activities that present concepts and applications of artificial intelligence (AI) for elementary and secondary school students. The use of Logo with elementary students is discussed; appropriate software is described; programing activities using Logo, BASIC, and Prolog are examined; and the field of robotics is discussed. (four…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Courseware, Elementary Secondary Education
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Mandell, Alan; Lucking, Robert – Journal of Computers in Mathematics and Science Teaching, 1988
Investigates using the microcomputer to develop a sentence parser to simulate intelligent conversation used in artificial intelligence applications. Compares the ability of LOGO and BASIC for this use. Lists and critiques several LOGO and BASIC parser programs. (MVL)
Descriptors: Artificial Intelligence, Cognitive Processes, College Science, Computer Uses in Education
Waltz, David L. – Scientific American, 1982
Describes kinds of results achieved by computer programs in artificial intelligence. Topics discussed include heuristic searches, artificial intelligence/psychology, planning program, backward chaining, learning (focusing on Winograd's blocks to explore learning strategies), concept learning, constraint propagation, language understanding…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Programs, Computer Science
Clancey, William J. – 1985
A broad range of well-structured problems--embracing forms of diagnosis, catalog selection, and skeletal planning--are solved in expert computer systems by the method of heuristic classification. These programs have a characteristic inference structure that systematically relates data to a pre-enumerated set of solutions by abstraction, heuristic…
Descriptors: Artificial Intelligence, Classification, Computer Oriented Programs, Computer Science
DeSiano, Michael; DeSiano, Salvatore – 1995
This document provides an introduction to the relationship between the current knowledge of focused and creative thinking and artificial intelligence. A model for stages of focused and creative thinking gives: problem encounter/setting, preparation, concentration/incubation, clarification/generation and evaluation/judgment. While a computer can…
Descriptors: Art, Artificial Intelligence, Cognitive Processes, Computer Uses in Education
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Mandell, Alan; Lucking, Robert – Journal of Computers in Mathematics and Science Teaching, 1989
Compares BASIC and LOGO systems in developing artificial intelligence systems. Provides listings of programs used for translating and sentence making. Describes methodology and compares the BASIC and LOGO programs. (MVL)
Descriptors: Artificial Intelligence, Cognitive Processes, College Science, Computer Uses in Education
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de Monchy, Allan R.; And Others – Analytical Chemistry, 1988
Discusses two computer problem solving programs: rule-based expert systems and decision analysis expert systems. Explores the application of expert systems to automated chemical analyses. Presents six factors to consider before using expert systems. (MVL)
Descriptors: Artificial Intelligence, Chemical Analysis, Chemistry, College Science
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Mandell, Alan; Lucking, Robert – Journal of Computers in Mathematics and Science Teaching, 1989
Compares a program written both in BASIC and LOGO on its inferential and decision making ability. Explains steps in each program and how deductions and decisions are made. (MVL)
Descriptors: Artificial Intelligence, Cognitive Processes, College Science, Computer Software
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Lopez, Antonio M., Jr. – Mathematics and Computer Education, 1989
Provides background material on logic programing and presents PROLOG as a high-level artificial intelligence programing language that borrows its basic constructs from logic. Suggests the language is one which will help the educator to achieve various goals, particularly the promotion of problem solving ability. (MVL)
Descriptors: Artificial Intelligence, College Science, Computer Science, Computer Science Education