The Structure of Ill-Structured (and Well-Structured) Problems Revisited

被引:38
|
作者
Reed, Stephen K. [1 ,2 ,3 ]
机构
[1] San Diego State Univ, Psychol, San Diego, CA 92182 USA
[2] San Diego State Univ, CRMSE, San Diego, CA 92182 USA
[3] Univ Calif San Diego, Dept Psychol, La Jolla, CA 92093 USA
关键词
Problem solving; Representation; Search; Analogy; Schema; PROCESS MODEL; INSIGHT; ANALOGY; ABSTRACTION; PERSPECTIVE; PERFORMANCE; INCUBATION; GENERATION; KNOWLEDGE; SYSTEMS;
D O I
10.1007/s10648-015-9343-1
中图分类号
G44 [教育心理学];
学科分类号
0402 ; 040202 ;
摘要
In his 1973 article The Structure of ill structured problems, Herbert Simon proposed that solving ill-structured problems could be modeled within the same information-processing framework developed for solving well-structured problems. This claim is reexamined within the context of over 40 years of subsequent research and theoretical development. Well-structured (puzzle) problems can be represented by a problem space consisting of well-defined initial and goal states that are connected by legal moves. In contrast, the initial, goal, and intermediate states of ill-structured (design) problems are incompletely specified. This article analyzes the similarities and differences among puzzles, insight puzzles, classroom problems, and design problems within Gick's (Educational Psychologist, 21, 99-120, 1986) theoretical framework consisting of representation construction, schema activation, and heuristic search. The analysis supports Simon's (Artificial Intelligence, 4, 181-201, 1973) claim that information-processing principles apply to all problems but apply differently as problems become more ill structured.
引用
收藏
页码:691 / 716
页数:26
相关论文
共 50 条
  • [31] An explanatory coherence model of decision making in ill-structured problems
    Frigotto M.L.
    Rossi A.
    Mind & Society, 2015, 14 (1) : 35 - 55
  • [32] A study of how individuals solve complex and ill-structured problems
    Ronald Fernandes
    Herbert A. Simon
    Policy Sciences, 1999, 32 : 225 - 245
  • [33] A Flat Learning Environment - Learning To Solve Ill-Structured Problems
    Siddique, Zahed
    Akasheh, Firas
    Kremer, Gul E. Okudan
    2014 ASEE ANNUAL CONFERENCE, 2014,
  • [34] The role of computer tools in experts' solving ill-structured problems
    Wijekumar, Kausalai Kay
    Jonassen, David H.
    COMPUTERS IN HUMAN BEHAVIOR, 2007, 23 (01) : 664 - 704
  • [35] TREATING MATHEMATICS AS AN ILL-STRUCTURED DISCIPLINE
    RESNICK, LB
    TEACHING AND ASSESSING OF MATHEMATICAL PROBLEM SOLVING, 1989, 3 : 32 - 60
  • [36] Well-structured futures and cache locality
    Herlihy M.
    Liu Z.
    1600, Association for Computing Machinery, 2 Penn Plaza, Suite 701, New York, NY 10121-0701, United States (02):
  • [37] An Online Environment to Compare Students' and Expert Solutions to Ill-Structured Problems
    Gupta, Vishrant K.
    Giabbanelli, Philippe J.
    Tawfik, Andrew A.
    LEARNING AND COLLABORATION TECHNOLOGIES: LEARNING AND TEACHING, LCT 2018, PT II, 2018, 10925 : 286 - 307
  • [38] Shifting perspectives: the potential of rich, ill-structured problems in legal education
    Fried, Audrey
    LAW TEACHER, 2024,
  • [39] Computer-Based Intelligent Support for Moderately Ill-Structured Problems
    Hirashima, Tsukasa
    2017 3RD INTERNATIONAL CONFERENCE ON SCIENCE IN INFORMATION TECHNOLOGY (ICSITECH), 2017, : 1 - 6
  • [40] DECISION SUPPORT SYSTEMS FOR ILL-STRUCTURED PROBLEMS - AN EMPIRICAL-STUDY
    CATSBARIL, WL
    HUBER, GP
    DECISION SCIENCES, 1987, 18 (03) : 350 - 372