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Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis AAMAS 2007 Workshop, AMEC 2007, Honolulu, Hawaii, May 14, 2007, and AAAI 2007 Workshop, TADA 2007, Vancouver, Canada, July 23, 2007, Selected and Revised Papers

:	John Collins et al. (Eds.)
:	Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis AAMAS 2007 Workshop, AMEC 2007, Honolulu, Hawaii, May 14, 2007, and AAAI 2007 Workshop, TADA 2007, Vancouver, Canada, July 23, 2007, Selected and Revised Papers
:	Springer-Verlag
:	9783540887133
:	1
:	CHF 44.70
:

:	Internet
:	English

:	251
:	DRM
:	PC/MAC/eReader/Tablet
:	PDF

This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Workshop on Agent-Mediated Electronic Commerce, AMEC IX, co-located with the Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2007, held in Honolulu, Hawai, in May 2007, and the 5th Workshop on Trading Agent Design and Analysis, TADA 2007, co-located with the Twenty-Second AAAI Conference on Artificial Intelligence, AAAI 2007, held in Vancouver, Canada, in July 2007.

This volume presents 15 carefully revised and selected papers from these workshops. The primary and complementary goal of both workshops was to continue to bring together novel work from diverse fields on modeling, implementation and evaluation of computational trading institutions and/or agent strategies. The papers originating from AMEC focus on a large variety of issues on auctions, negotiation, and strategic behavior in electronic marketplaces. The papers originating from TADA reflect the effort of the community to design scenarios where trading agent designers and market designers can be pitched against one another.

	Title Page	2
	Preface	5
	Organization	8
	Table of Contents	10
	On Revenue-Optimal Dynamic Auctions for Bidders with Interdependent Values	12
	Introduction	12
	Preliminaries	14
	Incentive Compatibility Characterization	15
	SpecialCases	16
	Revenue-Optimal Static Auctions	16
	Disjoint Intervals	17
	Working with a Specific Problem Instance	17
	MIP Formulation	18
	Instantiation	22
	Experimental Results	23
	Empirical Results	24
	Discussion and Future Work	25
	References	26
	Sequential Auctions in Uncertain Information Settings	27
	Introduction	27
	The Auction Setting	28
	Equilibrium Bids for Scenario $S_{1}$	29
	Equilibrium Bids for Scenario $S_{2}$	33
	Equilibrium Bids for Scenario $S_{3}$	34
	Equilibrium Bids for Scenario $S_{4}$	36
	Related Work	38
	Conclusions and Future Work	39
	References	39
	Adapting Price Predictions in TAC SCM	41
	Introduction	41
	Learning and Adaptation in Agent-Based Markets	41
	The TAC Supply Chain Management Scenario	42
	TacTex-06 and the Computer Price Prediction Problem	44
	Agent Overview	44
	Offer Acceptance Predictor	44
	Learning Price Change Predictions	46
	The 2006 TAC SCM Competition	47
	Agent Implementations	47
	Learning Algorithms	48
	Comparing Results for Different Groups of Agents	49
	Results of the 2006 Final Round	50
	Additional Experiments	51
	Additional Learning Approaches	52
	Related Work	54
	Conclusions and Future Work	55
	References	55
	Exploiting Hierarchical Goals in Bilateral Automated Negotiation: Empirical Study	57
	Introduction and Motivation	57
	Agents with Hierarchical Goals	58
	The Negotiation Framework	61
	Bargaining: Protocol and Strategy	61
	Reframing: Protocol and Strategy	64
	Agents Behavioural Model	65
	Simulation and Example	66
	Parameters of Experimentation	66
	Detailed Example	67
	Experimental Results	69
	Frequency and Quality of the Deals	70
	Negotiation Complexity	70
	Conclusion and Future Work	71
	References	72
	Theoretically Founded Optimization of Auctioneer’s Revenues in Expanding Auctions	73
	Introduction	73
	Informed Decision Strategy for Expanding Auctions	75
	Bounded Error of the Informed Decision Strategy	76
	The Optimal Raising Point	79
	Comparison with the VCG Mechanism	82
	The Optimal Increment	83
	Conclusion	85
	References	86
	Designing Bidding Strategies in Sequential Auctions for Risk Averse Agents: A Theoretical and Experimental Investigation	87
	Introduction	87
	Modeling Utility Functions Under Risk	89
	The Importance of Risk Adversity in Decision Making: An Example	90
	Bidding in Sequential Auctions with Complementarities	91
	Optimal Bidding Policy for Sequential 2nd Price (Vickrey) Auctions	93
	Optimal Bidding Policy for Sequential 1st Price Auctions. Numerical Solutions	94
	Heuristic Addressing Multiple Copies	95
	Experimental Analysis	96
	Experimental Analysis of Distribution of Risk Profiles ofWinning Bidders	97
	Experimental Analysis of Market Efficiency and Auctioneer Revenue	97
	Conclusions and Further Work	99
	References	100
	Traffic Management Based on Negotiations between Vehicles – A Feasibility Demonstration Using Agents	101
	Introduction	101
	Related Work	102
	Definitions	103
	Desirable Properties	104
	Agent-Based Traffic Control	105
	Mechanisms	106
	Time-Slot Request	106
	Time-Slot Exchange	107
	Evaluation	110
	Experimental Setup	110
	Alternatives Evaluated	111
	Results	113
	Conclusions	114
	References	115
	On Choosing an Efficient Service Selection Mechanism in Dynamic Environments	116
	Introduction	116
	Learning to Choose Among Service Selection Mechanisms	117
	Environment Characteristics	118
	Reinforcement Learning	118
	Discretization of Continuous State Space	120
	Service Selection Mechanisms	123
	ating-BasedMechanisms	123
	Experience-Based Mechanisms	123
	Performance Comparisons of Service Selection Mechanisms	124
	Experimental Evaluation	125
	Discussion	128
	References	129
	Adaptive Sniping for Volatile and Stable Continuous Double Auction Markets	130
	Introduction	130
	AgentModelofCDAs	132
	Related Work	133
	Small Increment Agent	134
	Kaplan Traders in Volatile and Stable Markets	135
	Adaptive Sniper Strategy	137
	Adaptive Sniper Results	141
	Conclusion	143
	References	144
	On the Empirical Evaluation of Mixed Multi-Unit Combinatorial Auctions	146
	Introduction	146
	Combinatorial Auctions	148
	Mixed Multi-Unit Combinatorial Auctions	149
	Bid Generator Requirements	150
	A Taxonomy of Transformations	150
	Requirements	151
	An Algorithm for Artificial Data Set Generation	153
	Good Generation	154
	Requested Goods Generation	154
	Market Transformations Generation	154
	Bid Generation	156
	Experimental Results	158
	Conclusions and Future Work	160
	References	160
	Analysing Buyers’ and Sellers’ Strategic Interactions in Ma