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Titlebook: Agent-Mediated Electronic Commerce. Automated Negotiation and Strategy Design for Electronic Markets; Automated Negotiatio Maria Fasli,Onn

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楼主: stripper
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Lin Fu,Chun-Ping Cui,Lingqiang Zhang human representatives of the companies involved, but advances in autonomous agent technologies have sparked an interest in automating the process. The Trading Agent Competition Supply Chain Management (TAC SCM) scenario provides a unique testbed for studying supply chain management agents. This pap
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Living in Technicolor: The Rules of Pulphe tournament, in addition to prior measures of agent competency through customer bidding. Using these benchmarks we find statistically significant increases in intratournament market efficiency, whereas agents are generally decreasing in manufacturer market power. We find that agent market share an
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’Scuse me Mr H’officer: An Introductioncilitate the shop agent’s search for mutually beneficial alternative bundles, we develop a method for online learning customers’ preferences, while respecting their privacy. By introducing additional parameters, we represent customers’ highly nonlinear preferences as a linear model. We develop a met
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https://doi.org/10.1057/9781137291776e copies of a good. We show that under certain assumptions this problem can be reduced to the continuous knapsack problem (CKP). We present a new fast .-optimal algorithm for solving CKP instances with asymmetric concave reward functions. We also show that our algorithm can be extended beyond the CK
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https://doi.org/10.1057/9781137291776 We create a suite of testing tools that reduce the variability of TAC-SCM games, make them replayable, and generate specific market conditions under which autonomous trading agents can be tested. Using these tools, we show how developers can inspect their agents to reveal and correct undesirable be
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