The process of research investigations in artificial intelligence-a unified view
暂无分享,去创建一个
[1] Adele E. Howe,et al. How evaluation guides AI research , 1988 .
[2] John R. Dixon,et al. On research methodology towards a scientific theory of engineering design , 1987, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.
[3] D. Marr,et al. Artificial Intelligence - A Personal View , 1976, Artif. Intell..
[4] Robert G. Sargent. Validation of simulation models , 1979, WSC '79.
[5] T. Jick. Mixing Qualitative and Quantitative Methods: Triangulation in Action. , 1979 .
[6] Ron J. Patton,et al. Methods for fault diagnosis in rail vehicle traction and braking systems , 1995 .
[7] Paul R. Cohen,et al. Toward AI research methodology: three case studies in evaluation , 1989, IEEE Trans. Syst. Man Cybern..
[8] Michael L. Begeman,et al. gIBIS: A tool for all reasons , 1989, JASIS.
[9] Dennis F. Kibler,et al. Differing Methodological Perspectives in Artificial Intelligence Research , 1985 .
[10] Douglas B. Lenat,et al. Theory Formation by Heuristic Search , 1983, Artificial Intelligence.
[11] Derek Partridge. Workshop on the Foundations of AI: Final Report , 1987, AI Mag..
[12] David Kirsh,et al. Foundations of AI: The Big Issues , 1991, Artif. Intell..
[13] Michael L. Begeman,et al. The right tool for the job , 1988 .
[14] Allen Newell,et al. The Knowledge Level , 1989, Artif. Intell..
[15] Herbert A. Simon. Artificial intelligence research strategies in the light of AI models of scientific discovery , 1979, IJCAI 1979.
[16] Jon Doyle,et al. Impediments to Universal Preference-Based Default Theories , 1989, KR.
[17] Frank Blackler,et al. QUALITATIVE RESEARCH AND PARADIGMS OF PRACTICE , 1983 .
[18] F. K. Hanna,et al. AM: A Case Study in AI Methodology , 1984, Artif. Intell..
[19] Douglas B. Lenat,et al. Why AM and EURISKO Appear to Work , 1984, Artif. Intell..
[20] A. V. Napalkov,et al. COMPUTERS AND THOUGHT, EDITED BY E. A. FEIGENBAUM AND J. FELDMAN, NEW YORK, MCGRAW-HILL, 1963: BOOK REVIEW, , 1967 .
[21] Daniel E. O'Leary,et al. VALIDATION OF EXPERT SYSTEMS- WITH APPLICATIONS TO AUDITING AND ACCOUNTING EXPERT SYSTEMS* , 1987 .
[22] Douglas B. Lenat,et al. EURISKO: A Program That Learns New Heuristics and Domain Concepts , 1983, Artif. Intell..
[23] Allen Newell,et al. A Preliminary Analysis of the Soar Architecture as a Basis for General Intelligence , 1991, Artif. Intell..
[24] Todd G. Moody,et al. Philosophy and Artificial Intelligence , 1992 .
[25] R. Evered,et al. Alternative Perspectives in the Organizational Sciences: “Inquiry from the Inside” and “Inquiry from the Outside” , 1981 .
[26] Dirk Baldwin. Applying multiple views to information systems: a preliminary framework , 1993, DATB.
[27] Jean-Louis Malouin,et al. Model validation in operations research , 1983 .
[28] Thomas G. Dietterich,et al. A Comparative Review of Selected Methods for Learning from Examples , 1983 .
[29] W. Wallace. The logic of science in sociology , 1971 .
[30] John McCarthy,et al. Generality in artificial intelligence , 1987, Resonance.
[31] Gretchen Rossman,et al. Numbers and Words , 1985 .
[32] Nils J. Nilsson,et al. Principles of Artificial Intelligence , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[33] Roger S. Pressman,et al. Software Engineering: A Practitioner's Approach , 1982 .
[34] Douglas B. Lenat,et al. The Nature of Heuristics , 1982, Artif. Intell..
[35] Randall Davis,et al. Expert Systems: Where Are We? And Where Do We Go from Here? , 1982, AI Mag..
[36] Osman Balci,et al. Credibility Assessment of Simulation Results: The State of the Art , 1986 .
[37] Roger C. Schank,et al. What Is AI, Anyway? , 1987, AI Mag..
[38] Paul R. Cohen,et al. A Survey of the Eighth National Conference on Artificial Intelligence: Pulling Together or Pulling Apart? , 1991, AI Mag..
[39] Allen Newell,et al. SOAR: An Architecture for General Intelligence , 1987, Artif. Intell..
[40] Allen Newell,et al. Intellectual issues in the history of artificial intelligence , 1983 .
[41] 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..
[42] William J. Clancey,et al. The Epistemology of a Rule-Based Expert System - A Framework for Explanation , 1981, Artif. Intell..
[43] Douglas B. Lenat,et al. On the thresholds of knowledge , 1987, Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications.
[44] D. S. Baldwin. Principles of design for a multiple viewpoint problem formation support system , 1990 .
[45] Douglas B. Lenat,et al. Computers and Thought Lecture: The Ubiquity of Discovery , 1977, IJCAI.
[46] Dennis A. Gioia,et al. Multiparadigm Perspectives on Theory Building , 1990 .
[47] Raj Reddy,et al. Foundations and grand challenges of artificial intelligence , 1988 .
[48] Allen Newell,et al. Computer science as empirical inquiry: symbols and search , 1976, CACM.