Articial Intelligence for Engineering, Design, Analysis and Manufacturing

This annotated bibliography includes a small sample of sources on various aspects of research methodology from diverse disciplines that influence research on artificial intelligence techniques in engineering design analysis and manufacturing (AIEDAM). Some of these sources are extended edited volumes containing many relevant contributions and pointing to additional references. These volumes are marked by a preceding bullet (•). The bibliography is not comprehensive; it covers only several important subjects, and in each subject it lists several representative contributions ordered chronologically.

[1]  D. Schoen,et al.  The Reflective Practitioner: How Professionals Think in Action , 1985 .

[2]  Allen S. Lee.  A Scientific Methodology for MIS Case Studies , 1989, MIS Q..

[3]  B Efron,et al.  Statistical Data Analysis in the Computer Age , 1991, Science.

[4]  A. Pinsonneault,et al.  The effects of electronic meetings on group processes and outcomes: An assessment of the empirical research , 1990 .

[5]  Tetsuo Tomiyama,et al.  From general design theory to knowledge-intensive engineering , 1994, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[6]  Yoram Reich,et al.  Measuring the value of knowledge , 1995, Int. J. Hum. Comput. Stud..

[7]  McDermottDrew.  Artificial intelligence meets natural stupidity , 1976 .

[8]  Yoram Reich.  What is wrong with CAE and can it be fixed , 1994 .

[9]  Michael J. Pazzani,et al.  A framework for average case analysis of conjunctive learning algorithms , 2004, Machine Learning.

[10]  I. Maso.  The necessity of being flexible , 1989 .

[11]  Vladislav V. Shvyrkov,et al.  What Harvard statisticians don't tell us , 1987 .

[12]  Lauge Baungaard Rasmussen,et al.  Crossing the Border , 1991, The Springer Series on Artificial Intelligence and Society.

[13]  Nils J. Nilsson,et al.  Artificial Intelligence: Engineering, Science, or Slogan? , 1982, AI Mag..

[14]  Peter D. Turney.  The gap between abstract and concrete results in machine learning , 1991, J. Exp. Theor. Artif. Intell..

[15]  The importance of being earnest in statistics , 1991 .

[16]  David S. Prerau,et al.  Verification and validation of expert systems: experience with four diverse systems , 1993 .

[17]  T. Kuhn,et al.  The Structure of Scientific Revolutions. , 1964 .

[18]  Donald A. Sch.  The reflective practitioner: how professionals think in action , 1983 .

[19]  P. Reason.  Human inquiry in action : developments in new paradigm research , 1988 .

[20]  P. H. Lindsay.  Human Information Processing , 1977 .

[21]  I. Lakatos.  II-CRITICISM AND THE METHODOLOGY OF SCIENTIFIC RESEARCH PROGRAMMES , 1969 .

[22]  Howard Rosenbrock,et al.  Designing Human-centred Technology , 1989, The Springer Series on Artificial Intelligence and Society.

[23]  Nils J. Nilsson.  In Memoriam: John G. Gaschnig , 1982, AI Mag..

[24]  Iris Vessey,et al.  The Effect of User Involvement on System Success: A Contingency Approach , 1988, MIS Q..

[25]  H. Craig Howard,et al.  Improving design and documentation by using partially automated synthesis , 1994, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[26]  M. McTear,et al.  AI and Cognitive Science ’90 , 1991, Workshops in Computing.

[27]  K. Knorr-Cetina.  The Manufacture of Knowledge: an Essay on the Constructivist and Contextual Nature of Science , 1985 .

[28]  Alan Bundy,et al.  How to improve the reliability of expert systems , 1988 .

[29]  R. Yeo,et al.  The Politics and Rhetoric of Scientific Method , 1986 .

[30]  Roger C. Schank,et al.  What Is AI, Anyway? , 1987, AI Mag..

[31]  Donald Gillies,et al.  Revolutions in Mathematics , 1975 .

[32]  Stephen B. Sloane,et al.  The Use of Artificial Intelligence by the United States Navy: Case Study of a Failure , 1991, AI Mag..

[33]  J PerlisAlan,et al.  Social processes and proofs of theorems and programs , 1979 .

[34]  N. Craig Smith,et al.  The Management Research Handbook , 1991 .

[35]  Masoud Yazdani,et al.  Artificial intelligence : human effects , 1984 .

[36]  Richard J. Lipton,et al.  Social processes and proofs of theorems and programs , 1979, CACM.

[37]  Saul Amarel.  Artificial intelligence and design: Opportunities, research problems and directions , 1990 .

[38]  Alun D. Preece,et al.  Principles and practice in verifying rule-based systems , 1992, Knowl. Eng. Rev..

[39]  Paul Gray,et al.  Assessing GDSS empirical research , 1990 .

[40]  E. Guba,et al.  The Paradigm dialog , 1990 .

[41]  John Haugeland.  Mind design , 1985 .

[42]  Simon Ramo,et al.  The business of science , 1988 .

[43]  John P. McDermott,et al.  Easy programming: empowering people to build their own applications , 1992, IEEE Expert.

[44]  K. Popper,et al.  Conjectures and refutations;: The growth of scientific knowledge , 1972 .

[45]  Gerardine DeSanctis,et al.  Computer-Based Support for Group Problem-Finding: An Experimental Investigation , 1988, MIS Q..

[46]  M. Bunge.  Treatise on basic philosophy , 1974 .

[47]  A. Pickering.  Science as practice and culture , 1992 .

[48]  Ann-Marie K. Baronas,et al.  Restoring a Sense of Control During Implementation: How User Involvement Leads to System Acceptance , 1988, MIS Q..

[49]  Eswaran Subrahmanian,et al.  Shared memory in design: A unifying theme for research and practice , 1992 .

[50]  W. F. Clocksin,et al.  Business in science , 1984, Nature.

[51]  Dennis F. Kibler,et al.  Differing Methodological Perspectives in Artificial Intelligence , 1985, AI Mag..

[52]  Gn Gilbert,et al.  Social Action and Artificial Intelligence , 1985 .

[53]  Donald A. Schön.  The reflective practitioner : how professionals think in action , 1986 .

[54]  William J. Clancey,et al.  From Guidon to Neomycin and Heracles in Twenty Short Lessons: ORN Final Report 1979-1985 , 1986, AI Mag..

[55]  Wray L. Buntine.  Myths and Legends in Learning Classification Rules , 1990, AAAI.

[56]  Yoram Reich,et al.  The value of design knowledge , 1992 .

[57]  Alfs T. Berztiss,et al.  Veri cation and Validation , 1990 .

[58]  Derek Partridge.  Workshop on the Foundations of AI: Final Report , 1987, AI Mag..

[59]  Joyce J. Elam,et al.  Induced system restrictiveness: an experimental demonstration , 1990, IEEE Trans. Syst. Man Cybern..

[60]  K. Lewin.  Action Research and Minority Problems , 1946 .

[61]  Marlan Blissett,et al.  Politics in Science. , 1974 .

[62]  Paul R. Cohen,et al.  A Survey of the Eighth National Conference on Artificial Intelligence: Pulling Together or Pulling Apart? , 1991, AI Mag..

[63]  John McDermott,et al.  Preliminary steps toward a taxonomy of problem-solving methods , 1993 .

[64]  Ritu Agarwal,et al.  Systems development life-cycle for expert systems , 1990, Knowl. Based Syst..

[65]  Augustin Merta,et al.  The manufacture of knowledge. An essay on the constructivist and contextual nature of science: K.D. Knorr-cetina, Pergamon Press, Oxford, England, (1981). xiv + 189 pp., £16.00 ($30.00 in U.S.A.), ISBN 0-08-025777-1. , 1985 .

[66]  Allen Newell,et al.  Intellectual issues in the history of artificial intelligence , 1983 .

[67]  GuidaG.,et al.  Evaluating Performance and Quality of Knowledge-Based Systems , 1993 .

[68]  Pat Langley,et al.  Machine learning as an experimental science , 2004, Machine Learning.

[69]  Alan Bundy,et al.  The nature of AI principles , 1990 .

[70]  Alexander Russell,et al.  A critical look at experimental evaluations of EBL , 1991, Mach. Learn..

[71]  Paul E. Lehner.  Toward an empirical approach to evaluating the knowledge base of an expert system , 1989, IEEE Trans. Syst. Man Cybern..

[72]  Sholom M. Weiss,et al.  An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods , 1989, IJCAI.

[73]  W. Whyte,et al.  Participatory Action Research , 1989 .

[74]  Louis I. Steinberg,et al.  Research methodology for AI and design , 1994, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[75]  E. Zemach.  Human understanding , 1992, Synthese.

[76]  M. Bunge.  Epistemology & Methodology II: Understanding the World , 1983 .

[77]  J. Habermas,et al.  Knowledge and Human Interests , 1972 .

[78]  Carl H. Smith,et al.  Inductive Inference: Theory and Methods , 1983, CSUR.

[79]  Harry Redner.  The Ends Of Science , 1987 .

[80]  Derek Partridge,et al.  Problem description and hypotheses testing in Artificial Intelligence , 1991 .

[81]  Derek L. Nazareth,et al.  Knowledge-based system verification, validation, and testing: the evolution of a discipline , 1993 .

[82]  Yoram Reich,et al.  Transcending the theory-practice problem of technology , 1992 .

[83]  Ramon J. Aldag,et al.  Issues in Research Methodology , 1988 .

[84]  Steven J. Fenves.  Bridging the Generations , 1993, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[85]  John R. Dixon,et al.  On research methodology towards a scientific theory of engineering design , 1987, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[86]  H. J. Eysenck.  Human inquiry: A sourcebook of new paradigm research: Peter Reason and John Rowan (eds):Wiley, Chichester (1981). 530 pp. £24.50 , 1983 .

[87]  Raymond E. Levitt,et al.  On the evolution of CAE research , 1994, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[88]  S. Mann,et al.  Paradigm lost , 1993, Nature.

[89]  A. Bundy.  Artificial Intelligence : Art or Science ? , 1988 .

[90]  Dennis F. Kibler,et al.  Differing Methodological Perspectives in Artificial Intelligence Research , 1985 .

[91]  Melvin Blumberg,et al.  How Control Groups Can Cause Loss of Control in Action Research: The Case of Rushton Coal Mine , 1983 .

[92]  Douglas B. Lenat,et al.  Why AM and EURISKO Appear to Work , 1984, Artif. Intell..

[93]  Michael A. Arbib,et al.  The construction of reality , 1986 .

[94]  Izak Benbasat,et al.  The Case Research Strategy in Studies of Information Systems , 1987, MIS Q..

[95]  Eric Dietrich.  Programs in the search for intelligent machines: the mistaken foundations of AI , 1990 .

[96]  Frederick Grinnell,et al.  The Scientific Attitude , 1987 .

[97]  John Bowers,et al.  Studies in computer supported cooperative work: theory, practice and design , 1990 .

[98]  Bruce Marcot,et al.  Testing your knowledge base , 1987 .

[99]  S. Woolgar,et al.  The Manufacture of Knowledge: an Essay on the Constructivist and Contextual Nature of Science , 1982 .

[100]  P. Reason,et al.  Human inquiry : a sourcebook of new paradigm research , 1983 .

[101]  Larry Travis,et al.  The Computational Metaphor and Artificial Intelligence: A Reflective Examination of a Theoretical Falsework , 1991, AI Mag..

[102]  Yoram Reich.  The development of Bridger: A methodological study of research on the use of machine learning in design , 1993, Artif. Intell. Eng..

[103]  Chris Argyris,et al.  Inner Contradictions of Rigorous Research. , 1984 .

[104]  Mario Bunge,et al.  Epistemology & Methodology I: , 1983 .

[105]  Marc Ayel,et al.  Validation, verification and test of knowledge-based systems , 1991 .

[106]  Drew McDermott,et al.  Artificial intelligence meets natural stupidity , 1976, SGAR.

[107]  K. Popper,et al.  Conjectures and refutations;: The growth of scientific knowledge , 1972 .

[108]  Hirokazu Ihara,et al.  An Experimental Comparison of Knowledge Representation Schemes , 1984, AI Mag..

[109]  Leonard Adelman,et al.  Experiments, quasi-experiments, and case studies: A review of empirical methods for evaluating decision support systems , 1991, IEEE Trans. Syst. Man Cybern..

[110]  C. Floyd,et al.  Software Development and Reality Construction , 1992, Springer Berlin Heidelberg.

[111]  Steven J. Fenves,et al.  Representation and Processing of Design Standards: a Bifurcation between Research and Practice , 1994 .

[112]  William B. Gevarter.  The Nature and Evaluation of Commercial Expert System Building Tools , 1987, Computer.

[113]  Kenneth R. Andrews,et al.  A Company/University Joint Venture to Build a Knowledge-Based System , 1988, MIS Q..

[114]  Ingela Josefson,et al.  Knowledge, Skill and Artificial Intelligence , 1988, The Springer Series on Foundations and Applications of Artificial Intelligence.

[115]  John M. Carroll,et al.  Designing Interaction: Psychology at the Human-Computer Interface , 1991 .

[116]  Henri Barki,et al.  Rethinking the Concept of User Involvement , 1989, MIS Q..

[117]  John P. McDermott,et al.  Making Expert Systems Explicit (Invited Paper) , 1986, IFIP Congress.

[118]  Saul Greenberg,et al.  Computer-supported cooperative work and groupware , 1991 .

[119]  Jay F. Nunamaker,et al.  Computer-Aided Deliberation: Model Management and Group Decision Support: Special Focus Article , 1988, Oper. Res..

[120]  Zenon W. Pylyshyn.  Some remarks on the theory-practice gap , 1991 .

[121]  R. Smith.  Linking quality & quantity , 1987 .

[122]  David Brinberg,et al.  Hypothesized and Confounded Explanations in Theory Tests: A Bayesian Analysis , 1992 .

[123]  John Ziman,et al.  An Introduction To Science Studies , 1984 .

[124]  David E. Rowe.  REVOLUTIONS IN MATHEMATICS , 1994 .

[125]  William Addis,et al.  Structural engineering : the nature of theory and design , 1990 .

[126]  Yoram Reich,et al.  The Study of Design Research Methodology , 1995 .

[127]  Derek Partridge,et al.  The foundation of artificial intelligence---a sourcebook , 1990 .

[128]  J. Habermas,et al.  Knowledge and Human Interests. , 1973 .

[129]  Sandra Marcus,et al.  Automating Knowledge Acquisition for Expert Systems , 1988 .

[130]  Drew McDermott,et al.  The Dark Ages of AI: A Panel Discussion at AAAI-84 , 1985, AI Mag..

[131]  Uma G. Gupta.  Validating and Verifying Knowledge-Based Systems , 1991 .

[132]  Helen Lowe,et al.  Proof planning: A methodology for developing AI systems incorporating design issues , 1994, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[133]  Bonnie Kaplan,et al.  Combining Qualitative and Quantitative Methods in Information Systems Research: A Case Study , 1988, MIS Q..

[134]  Yoram Reich,et al.  Layered models of research methodologies , 1994, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[135]  Mary Bailey.  Do Physicists Use Case Studies? Thoughts on Public Administration Research , 1992 .

[136]  Lawrence B. Slobodkin,et al.  A Critique for Ecology , 1991 .

[137]  Empirical study of expert system development , 1992, Knowl. Based Syst..

[138]  John P. McDermott,et al.  R1: A Rule-Based Configurer of Computer Systems , 1982, Artif. Intell..

[139]  F. K. Hanna,et al.  AM: A Case Study in AI Methodology , 1984, Artif. Intell..

[140]  Leonard Adelman,et al.  A multifaceted approach to evaluating expert systems , 1994, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[141]  F. Machlup,et al.  The Study of Information: Interdisciplinary Messages , 1984 .

[142]  John P. McDermott,et al.  Developing Software is like Talking to Eskimos about Snow , 1990, AAAI.

[143]  Jonathan Amsterdam,et al.  Some Philosophical Problems with Formal Learning Theory , 1988, AAAI.

[144]  Erik K. Antonsson,et al.  Development and Testing of Hypotheses in Engineering Design Research , 1987 .

[145]  D. Palumbo,et al.  Implementation and the Policy Process: Opening Up the Black Box , 1990 .

[146]  Giancarlo Mauri,et al.  Evaluating Performance and Quality of Knowledge-Based Systems: Foundation and Methodology , 1993, IEEE Trans. Knowl. Data Eng..

[147]  John P. McDermott,et al.  R1 Revisited: Four Years in the Trenches , 1984, AI Mag..

[148]  Adele E. Howe,et al.  How evaluation guides AI research , 1988 .

[149]  Paul R. Cohen,et al.  Toward AI research methodology: three case studies in evaluation , 1989, IEEE Trans. Syst. Man Cybern..

[150]  Walter B. Weimer.  Notes on the methodology of scientific research , 1979 .

[151]  Walter G. Vincenti,et al.  What Engineers Know and How They Know It: Analytical Studies from Aeronautical History. , 1992 .

[152]  Sebastian Thrun,et al.  The MONK''s Problems-A Performance Comparison of Different Learning Algorithms, CMU-CS-91-197, Sch , 1991 .

[153]  Allen Newell,et al.  Computer science as empirical inquiry: symbols and search , 1976, CACM.

[154]  Beverley Kane,et al.  AI in medicine , 1988 .

[155]  Stanley A. Schumm,et al.  To interpret the earth : ten ways to be wrong , 1992 .

[156]  Janet A. Kourany.  Scientific knowledge : basic issues in the philosophy of science , 1987 .