Abstract
An intelligent agent is a computer system that tries to fulfil its goals in a complex, dynamic environment. It is situated in the environment and interacts with the user in an autonomous manner. It operates adaptively and becomes more experienced overtime in achieving its goals. This paper attempts to trace the development of the concept, analyse the appropriate application area in tourism, survey the possible techniques in creating agents, and finally describe a conceptual framework for a learning interface agent for a holiday selection application. The idea is to employ Machine Learning techniques to customise an agent to the traveller’s personal selection rules and preferences by observing his/her actions and receiving positive or negative feedback. This approach provides the traveller with the sophisticated control over the gradual delegation of holiday selection tasks to the agent.
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References
Angeline, P. J., (1995) Evolution Revolution: An Introduction to the Special Track on Genetic and Evolutionary Programming, IEEE Expert, June, pp. 6–10.
Bennett, M. M., (1993) Information Technology and Travel Agency: A Customer Service Perspective, Tourism Management, August, pp. 259–266.
Bly, L., (1995) Electronic Explorer, Los Angeles Times, Sunday, March 12, 1995.
Business Travel News, 1994 Business Travel Survey.
CIC Research Inc. and Data Transfer Group of San Diego, August 1995 Survey.
Cockerell, N., (1991) Outbound Markets/Market Segment Studies — European Independent Travel, Travel & Tourism Analyst, No. 4, pp. 38–48.
Cypher, A., (1991) EAGER: Programming Repetitive Tasks by Example, Proceedings of CHI 91, ACM Press, N. Y., pp. 33–39.
Dent, L. et al., (1992) A Personal Learning Apprentice, Proceedings of the National Conference on Artificial Intelligence, MIT Press, Cambridge, Mass., pp. 96–103.
Etzioni, O. and Weld, D., (1994) A Software-Based Interface to the Internet, Communications of the ACM, 37(7), July, pp. 72–76.
Hitchins, F., (1991), The influence of technology on UK Travel Agents, Travel & Tourism Analyst, No. 3, pp. 88–105.
Kautz, H. A., Selman, B. and Coen, M., (1994) Bottom-Up Design of Software Agents, Communications of the ACM, 37(7), July, pp. 143–146.
Kay, A., (1984) Computer Software, Scientific American, 251 (3), pp. 53–59.
Kay, A., (1990) User Interface: A Personal View, in Laurel, B., (eds.) The Art of Human-Computer Interface Design, Addison-Wesley, Reading, Mass., pp. 191–208.
Lashkari, Y., Metral, M. and Maes, P., (1994) Collaborative Interface Agents, Proceedings of the National Conference on Artificial Intelligence, MIT Press, Cambridge, Mass., pp. 444–449.
Laurel, B., (1990) Interface Agents: Metaphors with Character, in Laurel, B. (ed.), The Art of Human-Computer Interface Design, Addison-Wesley, Reading, Mass., pp. 355–365.
Maes, P. and Kozierok, R., (1993) Learning Interface Agents, Proceedings of the AAAI’93 Conference, MIT Press, Cambridge, Mass., pp. 459–465.
Minsky, M., (1963) Steps Towards Artificial Intelligence, in Feigenbaum, E. and Feldman, J. (eds.) Computers and Thought, McGraw Hill.
Mitchell, T., Caruana, R, Freitag, D, McDermott, J. and Zabowski, D., (1994) Experience with a Learning Personal Assistant, Communications of the ACM, 37(7), July, pp. 80–91.
Negroponte, N., (1970) The Architecture Machine: Towards a More Human Environment, Cambridge, Mass., MIT Press.
New York Times,26 February, 1995.
Riecken, D., (1994) Intelligent Agents, Communications of the ACM, 37(7), July, pp. 18–21
Schneiderman, B., (1983) Direct Manipulation: A Step Beyond Programming Languages, IEEE Computer, 16(8), pp. 57–69.
Seel, N. R., (1989) Agent Theories and Architectures, PhD Thesis, Department of Electrical and Electronic Engineering, University of Surrey.
Selker, T., (1994) Coach: A Teaching Agent that Learns, Communications of the ACM, 37(7), July, pp. 92–99.
Sheth, B. and Maes, P., (1993) Evolving Agents for Personalised Information Filtering, Proceedings of the Ninth Conference on Artificial Intelligence for Applications, IEEE Computer Society Press, N. Y., pp. 345–351.
Sheth, B., (1994) A Learning Approach to Personalised Information Filtering, SM Thesis, Department of Electrical Eng. and Computer Science, MIT, Feb., 1994.
Smith, D. C., Cypher, A. and Spohrer, J., (1994) KidSim: Programming Agents Without a Programming Language, Communications of the ACM, 37(7), July, pp. 55–67.
Stanfill, C. and Waltz, D., (1986) Towards Memory-Based Reasoning, Communications of the ACM, 29(12), December, pp. 1213–1228.
Varela, F. J., (1979) Principles of Biological Autonomy, Elsevier North Holland.
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Ng, F.Y.Y., Sussmann, S. (1996). A Personal Travel Assistant for Holiday Selection — A Learning Interface Agent Approach. In: Klein, S., Schmid, B., Tjoa, A.M., Werthner, H. (eds) Information and Communication Technologies in Tourism. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7598-9_1
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DOI: https://doi.org/10.1007/978-3-7091-7598-9_1
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