Multiagent Systems

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Prof. Dr. Jürgen Dix · Department of Informatics, TUC Multiagent Systems, WS 06/07 320/731 4. Decision Making (2) 3. Auctions The global optimal solution is not reached by auctioning independently and truthful bidding. t 1 goes to agent 2 (for a price of 2) and t 2 goes to agent 1 (for a price of 1.5). Even if agent 2 considers (when bidding for t 2 ) that she already got t 1 (so she bids cost({t 1 , t 2 }) − cost({t 1 }) = 2.5 − 1.5 = 1) she will get it only with a probability of 0.5.
of. Dr. Jürgen Dix · Department of Informatics, TUC Multiagent Systems, WS 06/07 321/731 4. Decision Making (2) 3. Auctions What about full lookahead? blackboard. Therefore: It pays off for agent 1 to bid more for t 1 (up to 1.5 more than truthful bidding). It does not pay off for agent 2, because agent 2 does not make a profit at t 2 anyway. Agent 1 bids 0.5 for t 1 (instead of 2), agent 2 bids 1.5. Therefore agent 1 gets it for 1.5. Agent 1 also gets t 2 for 1.5.
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1. Introduction 3. Formal Descripti
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2. Basic Architectures 2. BDI-Archi
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2. Basic Architectures 3. AOP Prof.
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3. Decision Making (1) 3. (Im-) Per
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6. Propositional Logic 3. Sudoku Si
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9. Agents based on FOL 1. First Ord
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9. Agents based on FOL 1. First Ord
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9. Agents based on FOL 4. (Con-)Gol
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Situation independent functions dec
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9. Agents based on FOL 7. Reference
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