Abstract
The ADN project constitutes a generic tool for the analysis and development of distributed intelligent agents. The introduction presents the impetus driving ADN as well as a brief history of the project. Next, the parallel between cognitive psychology and the knowledge modeling architecture are laid open. A brief description of ADN’s functionalities is also presented.
This is a preview of subscription content, log in via an institution to check access.
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
Annet, J.; Duncan, K.D. Task Analysis and Training Design. Occupational Psychology, Vol. 41, pp. 211–221 (1967).
Arcand, J.-F.; Pelletier, S.-J. ADN: Analysis and Development of a Distributed Neural Network for Intelligent Applications. In IEEE World Conference on Neural Networks, Orlando, Florida, pp. 1516–1522 (1994).
Arcand, J.-F.; Pelletier, S.-J. A Framework for Distributed Neural Networks. In 1994 International Symposium on Artificial Neural Networks, Tainan, Taiwan, pp. 204–214 (1994).
Atkinson, R.C.; Shiffrin, R.M. Human Memory: a Proposed System and Its Control Processes. In The Psychology of Learning and Motivation, Vol 2, eds. K.W. Spence and J.T. Spence. New-York: Academic Press, 1968.
Carver, N.; Lesser, V. Evolution of Blackboard Control Architectures. Expert Systems With Applications, Vol. 7, pp. 1–30 (1994).
Dai, H.; Hughes, J. G.; Bell, D. A. A Distributed Real-Time Knowledge-Based System and Its Implementation Using Object-Oriented Techniques, pp. 23–30. IEEE, 1993.
Dalkir, K.; Trevail, R. Canadian Research and Development in Performance Support Systems. Learntec Conference, Stuttgart (October 1993).
Minsky, M. The Society of Mind. New-York: Simon and Schuster, 1986.
Moray, N. Intelligent Aids, Mental Models, and the Theory of Machines. International Journal of Man-Machine Studies, No. 27, pp. 619–625 (1987).
Rasmussen, J. Skill, Rules, and Knowledge; Signals, Signs, and Symbols, and Other Distinction in Human Performance Models. IEEE Transactions on Systems, Man, Cybernetics, Vol. SMC-13, May/June, pp. 257–266 (1983).
Rouse, W.B. Models of Human Problem Solving: Detection, Diagnosis, and Compensation for Systems Failures. Automatica, Vol 19, No 6, pp. 613–625 (1983).
Rumelhart, D.E.; Norman, D.A. Accretion, tuning and restucturing: Three Modes of Learning. In Semantic Factor in Cognition, ed. Cotton, J.W.; Klatsky, R.L. pp. 37–60. New Jersey: Hillsdale, 1978.
Shoham, Y. Agent-Oriented Programming, AI, Vol. 60, pp. 51–62 (1993).
Stary, C.; Stumptner, M. Representing Organizational Changes in Distributed Problem Solving Environments. IEEE Transactions on Systems, Man, and Cybernetics, Vol. 22, No. 5, September/October, pp. 1168–1177 (1992).
Wickens, C.D. Engineering Psychology and Human Performance. Ohio: Charles E. Merrill, 1984.
Wickens, C.D. Information Processing, Decision- Making, and Cognition. In Handbook of Human Factors, ed. Slavendy, G. pp. 72–107. New-York: Wiley., 1987.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1995 Springer-Verlag/Wien
About this paper
Cite this paper
Arcand, JF., Pelletier, SJ. (1995). A Framework for Creating Societies of Agents. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7535-4_62
Download citation
DOI: https://doi.org/10.1007/978-3-7091-7535-4_62
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82692-8
Online ISBN: 978-3-7091-7535-4
eBook Packages: Springer Book Archive