Read e-book online An Introduction to MultiAgent Systems (2nd Edition) PDF


By Michael Wooldridge

ISBN-10: 0470519460

ISBN-13: 9780470519462

The eagerly expected up-to-date source on some of the most very important parts of study and improvement: multi-agent systems
Multi-agent platforms enable many clever brokers to engage with one another, and this box of research has complex at a swift velocity because the booklet of the 1st version of this e-book, which was once approximately a decade in the past. With this intriguing new version, the insurance of multi-agents is totally up to date to incorporate a number of components that experience come to prominence within the final a number of years, together with auctions, computational social selection, and markov choice tactics. In flip, numerous issues that have been at the beginning thought of serious have faded in significance, so the assurance of that material is diminished with this new version. the results of this redefined stability of assurance is a well timed and crucial source on a well-liked subject.

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Extra info for An Introduction to MultiAgent Systems (2nd Edition)

Example text

This is because each individual module in a concurrent system is a reactive subsystem, interacting with its own environment which consists of the other modules. (Pnueli, 1986) There are at least three current usages of the term reactive system in computer science. The first, oldest, usage is that by Pnueli and followers (see, for exampIe, Pnueli (1986),and the description above). Second, researchers in A1 planning take a reactive system to be one that is capable of responding rapidly to changes in its environment - here the word 'reactive' is taken to be synonymous with 'responsive' (see, for example, Kaelbling, 1986).

An obvious way to open this chapter would be by presenting a definition of the term agent. After all, t h s is a book about multiagent systems - surely we must all agree on what an agent is? Sadly, there is no universally accepted definition of the term agent, and indeed there is much ongoing debate and controversy on this very subject. Essentially, while there is a general consensus that autonomy is central to the notion of agency, there is little agreement beyond this. Part of the difficulty is that various attributes associated with agency are of differing importance for different domains.

For example, it works well when we consider functional systems, as discussed above. But for non-functional systems, t h s simple model of goal-directed programming is not acceptable, as it makes some important limiting assumptions. In particular, it assumes that the environment does not change while the procedure is executing. If the environment does change, and, in particular, if the assumptions 24 Intelligent Agents (precondition)underlying the procedure become false while the procedure is executing, then the behaviour of the procedure may not be defined - often, it will simply crash.

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An Introduction to MultiAgent Systems (2nd Edition) by Michael Wooldridge

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