By Bojan Dolšak (auth.), Ann Macintosh BSc, CEng, Mike Moulton BSc, Alun Preece BSc, PhD (eds.)
Ann Macintosh Napier collage, united kingdom The papers during this quantity are the refereed software papers provided at ES2001, the Twenty-fIrst SGES foreign convention on wisdom established structures and utilized man made Intelligence, held in Cambridge in December 2 hundred I. The scope of the applying papers has accelerated over fresh years to hide not only leading edge purposes utilizing conventional wisdom dependent structures, but in addition to incorporate functions demonstrating the entire variety of AI applied sciences. those papers proceed to demonstrate the adulthood of AI as a commercially achievable know-how to resolve genuine international difficulties. The papers have been topic to refereeing by means of no less than specialist referees. All papers that have been by any means debatable have been mentioned intensive by means of the appliance Programme Committee. For the ES2001 software flow, a paper is suitable whether it describes a approach that has now not but been put in, supplied the applying is unique and the paper discusses the type of issues that might support others desiring to unravel an identical challenge. Papers were chosen to focus on serious parts of good fortune - and failure - and to provide the advantages and classes learnt to different builders. This quantity includes 16 papers describing deployed or rising functions in a variety of assorted parts: company and trade, engineering, production, wisdom and data administration, and music.
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Extra info for Applications and Innovations in Intelligent Systems IX: Proceedings of ES2001, the Twenty-first SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Cambridge, December 2001
8% error and a trend line that more closely approximates to the actual (see Figure 4). 4 Discussion of results Time series forecasting depends upon patterns in the past that determine, to a greater or lesser extent, the future course of the time series. These patterns encapsulate the market forces so that when it is internalised within an ANN, the resultant model contains some knowledge of the market. This knowledge is then used to forecast the series ahead of the training data. The Validation method of training the ANN approximates to the trend line of the actual data, but falls somewhat below it.
Auction Theory for Privatization. Cambridge Univ Press (2001). Bichler, M. The Future of E-Commerce: Multi-Dimensional Market Mechanisms. Cambridge University Press (2001). Sandholm, T. Agents in Electronic Commerce: Component Technologies for Automated Negotiation and Coalition Formation. Autonomous Agents and MultiAgent Systems, 3(1), 73-96. Strobel, M. Design of Roles and Protocols for Electronic Negotiations. Electronic Commerce Research Journal, Special Issue on Market Design 2001. 42      [l3]                 Peyman Faratin.
R. ~s.. ';. ' =:~ ~~ ---"---. ,.... O, ~ w Fig. 3. User's screen for an e-exchange that is hooked to the Sydney Stock Exchange. e-market. Fig. 3 shows a user's screen for an e-exchange that is hooked to the Sydney Stock Exchange. 3 The actors' assistant In 'real' problems, a decision to use an e-exchange or a solution provider will be made on the basis of general knowledge that is external to the e-market place. Having decided to use either an e-exchange or a solution provider, the negotiation strategy used will also depend on general knowledge.