Beyond Simon's Means-Ends Analysis: Natural Creativity and the Unanswered 'Why' in the Design of Intelligent Systems for Problem-Solving [Book Review]
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
Learn more about PhilPapers
Minds and Machines 20 (3):327-347 (2010)
Goal-directed problem solving as originally advocated by Herbert Simon’s means-ends analysis model has primarily shaped the course of design research on artificially intelligent systems for problem-solving. We contend that there is a definite disregard of a key phase within the overall design process that in fact logically precedes the actual problem solving phase. While systems designers have traditionally been obsessed with goal-directed problem solving, the basic determinants of the ultimate desired goal state still remain to be fully understood or categorically defined. We propose a rational framework built on a set of logically inter-connected conjectures to specifically recognize this neglected phase in the overall design process of intelligent systems for practical problem-solving applications
|Keywords||Design Problem solving Creativity Artificially intelligent systems|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
Herbert A. Simon (1969). The Sciences of the Artificial. [Cambridge, M.I.T. Press.
Roger Penrose (1989). The Emperor's New Mind. Oxford University Press.
John R. Searle (1980). Minds, Brains and Programs. Behavioral and Brain Sciences 3 (3):417-57.
David J. Chalmers (1995). Facing Up to the Problem of Consciousness. Journal of Consciousness Studies 2 (3):200-19.
Citations of this work BETA
No citations found.
Similar books and articles
M. A. van Rees (2003). Pragma-Dialectical Analysis and Evaluation of Problem-Solving Discussion. Argumentation 17 (4):465-479.
Chunyu Dong (2010). Intelligent Design From the Viewpoint of Complex Systems Theory. Frontiers of Philosophy in China 5 (3):461-470.
Elliott Sober & E. Sober (2007). Sex Ratio Theory, Ancient and Modern: An Eighteenth-Century Debate About Intelligent Design and the Development of Models in Evolutionary Biology. In Jessica Riskin (ed.), Genesis Redux: Essays in the History and Philosophy of Artificial Life. University of Chicago Press 131--62.
Magda Osman (2008). Observation Can Be as Effective as Action in Problem Solving. Cognitive Science 32 (1):162-183.
Linden J. Ball Jonathan St B. T. Evans Ian Dennis Thomas & C. Ormerod (1997). Problem-Solving Strategies and Expertise in Engineering Design. Thinking and Reasoning 3 (4):247 – 270.
Harold Thimbleby (1994). Designing User Interfaces for Problem Solving, with Application to Hypertext and Creative Writing. AI and Society 8 (1):29-44.
Marvin Croy (2000). Problem Solving, Working Backwards, and Graphic Proof Representation REVIEWS. Teaching Philosophy 23 (2):169-187.
René Victor Valqui Vidal (2007). Creativity for Problem Solvers. AI and Society 23 (3):409-432.
Added to index2010-06-30
Total downloads26 ( #157,460 of 1,934,428 )
Recent downloads (6 months)9 ( #58,753 of 1,934,428 )
How can I increase my downloads?