New PDF release: Agent-mediated electronic commerce: automated negotiation

By Maria Fasli, Onn Shehory

ISBN-10: 3540725016

ISBN-13: 9783540725015

This ebook constitutes the completely refereed post-proceedings of the joint foreign Workshops on buying and selling Agent layout and research, TADA 2006, and on Agent Mediated digital trade, AMEC VIII 2006, held in Hakodate, Japan, in may perhaps 2006 as an linked occasion of AAMAS 2006, the fifth foreign Joint convention on independent brokers and Multiagent Systems.

The 17 revised complete papers offered have been conscientiously chosen from the displays made on the workshop and contain papers from the once a year TAC match whose goal is to stimulate study in buying and selling brokers and marketplace mechanisms via delivering a platform for brokers competing in well-defined industry situations. The papers handle a mixture of either theoretical and functional matters in buying and selling agent layout and applied sciences, theoretical and empirical review of suggestions in complicated buying and selling eventualities in addition to mechanism layout. additionally coated are problems with agent-mediated digital trade starting from the layout of digital marketplaces and effective protocols to behavioral elements of brokers working in such environments.

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Extra info for Agent-mediated electronic commerce: automated negotiation and strategy design for electronic markets. AAMAS 2006 workshop, Tada/Amec 2006, Hakodate, Japan, May 9, 2006, selected and revised papers

Example text

If it does not, then the agents update their beliefs and find the equilibrium offer for t = 2. The time to compute the equilibrium offer for t = 2 is O((Nr − 2)mr3 ). This process of updating beliefs and finding the equilibrium offer is repeated at most T = min(2r − 1, n) times (see the last paragraph of the proof for Theorem 7). Hence T O((Nr − i)mr3 ) = O(mr3 T (Nr − T2 )). the time complexity of the PD is Σi=1 Obviously, Theorems 3 and 4 extend to this scenario as well. The SIM procedure. For the SIM procedure, the equilibrium for each partition is the same as that of Theorem 7.

Negotiation for the first partition starts at time t = 1. If negotiation for the cth (for 1 ≤ c ≤ μ) partition ends at tc , then negotiation for the (c + 1)th partition starts at time tc + 1. Each agent gets its share for all the issues in a partition as soon as the partition is settled. Since the issues in each subset are settled using the PD, the equilibrium for each of these subsets is obtained from Theorem 1 by substituting the appropriate negotiation start times for each partition. Since negotiation for each partition ends in the same time period in which it starts, the time to settle all the m issues is μ.

The time to compute the equilibrium offer for t = n is linear in the number of issues (see Equations 1 and 2). For t < n, the agents make tradeoffs. Recall from Theorem 1, that an agent’s tradeoff problem is analogous to the fractional knapsack problem. Hence the time complexity TRADEOFFA (and TRADEOFFB) is O(m) (see [11,3] for the complexity of the fractional knapsack problem). Tradeoffs are made in every time period from the (n − 1)th to the first. Hence the time complexity of finding an offer for t = 1 is O(mn).

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Agent-mediated electronic commerce: automated negotiation and strategy design for electronic markets. AAMAS 2006 workshop, Tada/Amec 2006, Hakodate, Japan, May 9, 2006, selected and revised papers by Maria Fasli, Onn Shehory


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