1: AMEC VII 2005.- Learning Environmental Parameters for the Design of Optimal English Auctions with Discrete Bid Levels.- Repeated Auctions with Complementarities.- An Analysis of Sequential Auctions for Common and Private Value Objects.- Algorithms for Distributed Winner Determination in Combinatorial Auctions.- Market-Based Allocation with Indivisible Bids.- Achieving Allocatively-Efficient and Strongly Budget-Balanced Mechanisms in the Network Flow Domain for Bounded-Rational Agents.- An Analysis of the Shapley Value and Its Uncertainty for the Voting Game.- 2: TADA 2005.- An Analysis of the 2004 Supply Chain Management Trading Agent Competition.- Identifying and Forecasting Economic Regimes in TAC SCM.- Socrates: A Production-Driven SCM Agent.- Designing and Evaluating an Adaptive Trading Agent for Supply Chain Management.- Searching for Walverine 2005.- Trading Strategies for Markets: A Design Framework and Its Application.- Scaling Up the Sample Average Approximation Method for Stochastic Optimization with Applications to Trading Agents.- Who to Listen to: Exploiting Information Quality in a ZIP-Agent Market.- 3: AMEC VI 2004.- On Correctness and Privacy in Distributed Mechanisms. Norman Sadeh is an Associate Professor in the School of Computer Science and the Institute for eCommerce at Carnegie Mellon University and, until recently, also served as Chief Scientist of the European research initiative in "New Methods of Work and eCommerce." Dr. Sadeh is also well known for his pioneering research in planning, scheduling, and supply chain management. He is on the editorial board of several journals, is frequently invited to speak at industry conferences, and has conducted research and consulted with a number of Fortune 1000 companies in North America, Europe, and Asia.
