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Agent-based model

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In today's class I will finish explaining how distributed breakout works, and we will probably also cover Distributed Constraint Optimization (DCOP)

Most of the DCOP algorithms are improvements (or parallelizations, if that's a word) on the basic branch-and-bound search algorithm, which I implement below:

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Our first meeting is on Monday. On that day we I will be talking about the class, the history of multiagent systems, and getting started on the first chapter of our textbook.

The first chapter talks about utility functions:

Markov Decision Processes

and Value Iteration

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This week we start our study of game theory as used for building multiagent systems.


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We start the semester with a quick historical overview of the field and move on to multiagents models. We use the word model in its scientific sense to mean a mathematical abstraction that captures some aspects of real-world phenomena. You should read the first chapter (Models) of the textbook.

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