By Huiye Ma
This booklet offers a brand new bidding method for brokers to undertake in non-stop double auctions (CDAs) and proposes a few regularly used instruments to augment the functionality of present bidding options in CDAs. it's the first booklet to target CDAs the place a constrained quantity of vendor brokers and client brokers alternate what they wish. the very best functionality of the recent bidding method and the instruments proposed by means of this publication are illustrated via large experiments.
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Extra resources for Bidding Strategies in Agent-Based Continuous Double Auctions (Whitestein Series in Software Agent Technologies and Autonomic Computing)
The ﬁrst phase is the beginning of the round when there is no ob or oa. The second phase is when there is either ob or oa. The third phase is when there are both ob and oa. Suppose seller i is selling the k th unit in a round. In the ﬁrst phase of the round, the seller has no information other than the reservation price Cik of unit k and the acceptable price range of the CDA market. 2 When there is only either ob or oa in the market, the seller will utilize ob or oa to compute his ask. 0. 0, is acceptable.
If an agent demonstrates a good performance in both kinds of laboratorial markets, the overall performance of the agent is demonstrated to be good. 5. , experimental approaches, game theoretic approaches, empirical game theoretic approaches, and evolutionary approaches, which are discussed in turn below. 1 Experimental Approaches An experimental approach is a main method utilized to analyze the performance of a bidding strategy in continuous double auctions. There are two parts to pay attention to: the experimental setup and the market environments simulated.
Let NUM W =I be the number of successful transactions in the past r rounds in which agent i is the winner. NUM total is the total number of successful transactions in the past r rounds. The transaction rate Tir is calculated by: Tir = NUM W =I ÷ NUM total . 2. Let NUNIT traded be the number of agent i’s units traded successfully in the last run. NUNIT owned is the total number of units agent i wanted to trade in the last run. The transaction percentage Tp,i is deﬁned as: Tp,i = NUNIT traded ÷ NUNIT owned .
Bidding Strategies in Agent-Based Continuous Double Auctions (Whitestein Series in Software Agent Technologies and Autonomic Computing) by Huiye Ma