Multiagent Systems

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Suppose Ray hates playing basketball but knows that his fellows do like it. How can he vote to avoid ending up playing basketball? Prof. Dr. Jürgen Dix · Department of Informatics, TUC Multiagent Systems, WS 06/07 296/731 4. Decision Making (2) 2. Tactical Voting Example 4.13 (Babysitting, Shoham) You are babysitting 4 kids (Will, Liam, Vic and Ray). They can chose among (a: going to the video arcade, b: playing baseball, c: going for a leisurely car ride). The kids give their true preferences as follows: Will Liam Vic Ray 1 b b a c 2 a a c a 3 c c b b You announce to use majority voting, breaking ties alphabetically.
Prof. Dr. Jürgen Dix · Department of Informatics, TUC Multiagent Systems, WS 06/07 297/731 4. Decision Making (2) 2. Tactical Voting Definition 4.14 (Mechanism) A mechanism wrt. a set of agents A and a set of outcomes O is a pair 〈Act, M〉 where 1 Act = A 1 × . . . × A |A| , where A i is the set of actions available to agent i. 2 M : Act → Π(O), where Π(O) is the set of all probability distributions over the set of outcomes. This is a very general definition: it allows arbitrary actions. What about our babysitter example?
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2. Basic Architectures 2. BDI-Archi
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2. Basic Architectures 3. AOP Prof.
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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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