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Agent-Oriented Software Engineering III: Third International by Alexander Artikis, Marek Sergot, Jeremy Pitt (auth.), Fausto

By Alexander Artikis, Marek Sergot, Jeremy Pitt (auth.), Fausto Giunchiglia, James Odell, Gerhard Weiß (eds.)

Over the earlier 3 a long time, software program engineers have derived a gradually larger realizing of the features of complexity in software program. it's now largely acknowledged thatinteraction is likely one of the most vital unmarried char- teristic of advanced software program. software program architectures that comprise many dyna- cally interacting elements, every one with their very own thread of keep an eye on, and eng- ing in complicated coordination protocols, tend to be orders of significance extra advanced to properly and e?ciently engineer than those who easily compute a functionality of a few enter via a unmarried thread of keep watch over. regrettably, it seems that many (if now not such a lot) real-world purposes have accurately those features. in this case, a big examine subject in c- puter technological know-how over not less than the earlier twenty years has been the improvement of instruments and methods to version, comprehend, and enforce structures during which interplay is the norm. certainly, many researchers now think that during destiny computation itself can be understood as chie?y a technique of interaction.

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Extra resources for Agent-Oriented Software Engineering III: Third International Workshop, AOSE 2002 Bologna, Italy, July 15, 2002 Revised Papers and Invited Contributions

Sample text

For instance in a connected graph, one agent could be Modeling Agents and Their Environment 29 related to other agents, which could in turn be related to other agents. Connected graphs such as the web, electric power networks, or networks of colleagues are examples of where entity’s location can be described relative to other entities. In a planar environment an agent’s relative neighborhood could be based on physical proximity rather than edges between nodes. For example in a simple two-dimensional grid like a checkerboard, one square can be characterized as diagonal to, or to the side of, and so on.

A basic requirement for model checking is to retain finiteness. Therefore, we impose the following restrictions (a thorough discussion of the motivations can be found in [7]). First, the number of views is assumed to be finite. g. by fixing the maximal depth on the nesting of operators. Second, we distinguish the bridge atoms of a view between explicit and implicit bridge atoms. For each bridge operator Bi of a view α, there is a finite set of the explicit bridge atoms, Explα,i ⊂ {Bi φ ∈ Lα } that contains those bridge atoms of view α which are explicitly given semantics in a MLFSM.

The association ξ is built as follows. The labeling function of the FSM associates a state to a set of atoms holding in it. This is an assignment to the propositional variables. Therefore, a set of states Q is naturally associated with a propositional formula ξ(Q) whose models are exactly the labelings of the states contained in Q. The empty set of states is represented by the formula F alse. e. 2P , is represented by the formula T rue. e. that the cardinality of the represented set is not directly related to the size of the Bdd.

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