Abstract
This chapter builds on the foundations laid down in the previous chapter. It describes the human-centered e-business system development framework for multi-agent e-business systems based on human-centered criteria outlined in the first chapter and the pragmatic considerations and enabling theories discussed in chapter 3, which contribute towards realization of those criteria. The human-centered framework is described in terms of four components, namely, activity-centered e-business analysis, problem solving ontology, transformation agent, and multimedia interpretation, respectively. The three human-centered criteria are used as guidelines for development of the human-centered framework. The pragmatic considerations and contributing theories are used to develop the structure and content, or knowledge base, of the four components. The structure and content are described at the conceptual and computational (transformation agents) level. We start this chapter by describing the external and internal planes of human interaction which underpin the development of the human-centered framework. We follow it with the description of two components of the human-centered e-business system development framework, namely, activity-centered e-business analysis and problem solving ontology. In the next chapter we continue with the description of the problem solving ontology component and describe two other components, namely, the transformation agent and multimedia interpretation component. These four components have been used to define the external and internal planes of human interaction with the environment.
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References
Alter, S., (1996), Information systems — A Management Perspective, second edition, Benjamin/Cummings Publishing Company.
Breuker, J.A. and Weilinga, B.J., (1989) “Model Driven Knowledge Acquisition” in B. Guida & G. Tasso eds. Topics in the Design of Expert Systems, Springer-Verlag, pp 239–280.
Breuker, J.A. and Weilinga, B.J., (1991) Intelligent Multimedia Interfaces, Edited by Mark Maybury, AAAI Press, Menlo Park, CA.
Chandrasekaran B. and Josephson, J.R., (1997) “Ontology of Tasks and Methods”, AAAI 97 Spring Symposium on Ontological Engineering, March 24–26, Stanford University, CA California, USA.
Chandrasekaran, B. (1983), “Towards Taxonomy of Problem Solving Types”, AI Magazine Vol 4 No. 1, Winter/Spring pp 9–17.
Chandrasekaran, B., and Johnson, T.R. (1993), “Generic Tasks and ask Structues: History Critique and New Directions”, Second Generation Expert Systems, G.M. Davies, J.P. Krivine and R. Simmons.
Clancey, W.J., (1985) “Heuristic classification”, Artificial Intelligence, 27, 3 (1985), 289–350.
Eshelman, L. (1988). “Mole: A Knowledge Acquisition Tool for Cover-and-Differentiate systems” in Automating Knowledge Acquisition for Expert Systems, Ed. S. Marcus, 37–79. Boston: Kluwer
Fensel, D (1997), “The Tower-of-Adapter Method for Developing and Reusing Problem-Solving Methods,” EKAW, pp. 91–112
Fensel, D. and Groenboom, R., (1996), “MLPM: Defining a Semantics and Axiomatization for Specifying the Reasoning Process of Knowledge-based Systems,”.ECAI, pp 423–427
Gamma, E et. al., (1995) “Design Elements of Object-Oriented Software, ” Massachusetts: Adisson-Wesley.
Hart, P. (1984). “Artificial Intelligence in Transition” in Knowledge-Based Problem Solving, Ed. J. Kowalik, 296–311. Engelwood Cliffs, N.J. Prentice-Hall.
Laudon, K.C. and Laudon, J.P., (1998), Management Information Systems, Prentice Hall International.
McDermott, J., (1988) Preliminary steps toward a taxonomy of problem solving methods. In Automated Knowledge Acquisition for Expert Systems, S. Marcus, Ed., Kluwer Academic, pp. 225–256.
Simmons, R. 1988. “Generate, Test, and Debug: A Paradigm for Solving Interpretation and Planning Problems”. Ph. D diss., AI Lab, Massachusetts Institute of Technology.
Steels, L. (1990) “Components of Expertise”, AI Magazine, 11,28–49., 11,28–49
Steels, L. 1984. “Second-Generation Expert Systems” presented at the Conference on Future Generation Computer Systems, Rotterdam. Also in Journal of Future Generation Computer Systems (1)4:213–237.
Steels, L., and Van de Velde, W. 1985. Earning in Second-Generation Expert Systems” in Knowledge-Based Problem Solving, Ed. J. Kowalik. Englewood Cliffs, N.J.: Prentice-Hall.
Steven, S.S. (1995). “On the Psychological Law”, Psychological Review, 64(3), 153–181
Weilinga, B.J., Ath. Schreiber and J.A. Breuker, 1993 “KADS: A Modelling Approach to Knowledge Engineering”, Readings in Knowledge Acquisition and Learning, eds. Buchanan, B.. & Wilkins, D., San Mates California, Morgan Kaufmann pp 92–116.
Weill, P. and Vitale, M., (2001), Place to Space, MIT Press, 2001.
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Khosla, R., Damiani, E., Grosky, W. (2003). Human-Centered E-Business System Development Framework. In: Human-Centered e-Business. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0445-0_4
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DOI: https://doi.org/10.1007/978-1-4615-0445-0_4
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