Abstract
This paper describes the use of expectation formation as a method of multi-agent learning in design. We first describe how expectations can guide and improve multi-agent design. We then propose a particular method of acquiring expectations in multi-agent design systems, describe an architecture that implements the method, and discuss an application in a chosen design domain.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Berger, J., Wagner, D.G., and Zelditch Jr., M.: 1985, Expectation states theory: Review and assessment, in J. Berger and M. Zelditch Jr. (eds.), Status, rewards and influence, Jossey-Bass, San Francisco, CA.
Cherniak, C.: 1986, Minimal Rationality, The MIT Press, Cambridge, MA.
Cranz, G.: 1998, The Chair-Rethinking Culture, Body and Design, W.W. Norton & Company, New York, NY.
Duffy, A.: 1997, The ‘What’ and ‘How’ of learning in design, IEEE Expert, 12(2), 71–77.
Dunskus, B. V., Grecu D. L., Brown D. C., and Berker I.: 1995, Using single function agents to investigate conflict, Artificial Intelligence for Engineering Design, Analysis and Manuf., 9, 299–312.
Gennari, J. H., Langley P., and Fisher D.: 1989, Models of incremental concept formation, Artificial Intelligence, 40, 11–61.
Giarratano, J. C., and Riley G.: 1998, CLIPS Reference Manual, PWS Publishing Co.
Hilton, D. J.: 1990, Conversational processes and causal explanation, Psychological Bulletin, 107(1), 65–81.
Kohavi, R., and John G. H.: 1998, Wrappers for feature subset selection, Artificial Intelligence, 97(1-2), 273–324.
Koslowski, B.: 1996, Theory and Evidence: The Development of Scientific Reasoning, The MIT Press, Cambridge, MA and London.
Landelr, S.: 1998, Issues in multiagent design systems, IEEE Expert, 12(2), 18–26.
Liu, H., and Setiono R.: 1998, Incremental feature selection, Applied Intelligence, 9(3), 217–230.
Maher, M. L. and Li, H.: 1994, Learning design concepts using machine learning techniques, Artificial Intelligence for Engineering Design, Analysis and Manufufacturing, 8, 95–112.
Malone, J.: 1998, The Intelligent Synthesis Environment, http://ise.larc.nasa.gov/.
McCormick, E.: 1964, Human Factors Engineering, McGraw-Hill, New York, NY.
Murdoch, T. and Ball, N.: 1994, Machine learning in configuration design, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 8, 101–114.
Reich, Y. and Fenves, S.: 1991, The formation and use of abstract concepts in design, in D.H. Fisher Jr., M.J. Pazzani, and P. Langley (eds.), Concept Formation: Knowledge and Experience in Unsupervised Learning, Morgan Kaufmann, San Mateo, CA, pp. 323–353.
Rescorla, R. A., and Wagner, A. B.: 1972, A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and non-reinforcement, in A.H. Black and W.F. Prokasy (eds.), Classical Conditioning II: Current Research and Theory, Appleton-Century-Crofts, New York, NY, pp. 64–99.
Russell, S. and Wefald E.: 1991, Do the Right Thing-Studies in Limited Rationality, The MIT Press, Cambridge, MA.
Schank, R. C.: 1984, Dynamic Memory — A Theory of Reminding and Learning in Computers and People, Cambridge University Press, London.
SGI: 1996, MLC++ Utilities, Silicon Graphics.
Shultz, T. R., Fisher G. W., Pratt C. C., and Rulf, S.: 1986, Selection of causal rules, Child Development, 57, 143–152.
Tversky, A., and Kahneman, D.: 1974, Judgment under uncertainty: Heuristics and biases, Science, 185, 1124–1131.
Wittenbaum, G. M., Stasser, G., and Merry, C. J.: 1996, Tacit coordination in anticipation of small group task completion, Journal of Experimental Social Psychology, 32, 129–152.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Grecu, D.L., Brown, D.C. (2000). Expectation Formation in Multi-Agent Design Systems. In: Gero, J.S. (eds) Artificial Intelligence in Design ’00. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4154-3_32
Download citation
DOI: https://doi.org/10.1007/978-94-011-4154-3_32
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-5811-7
Online ISBN: 978-94-011-4154-3
eBook Packages: Springer Book Archive