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 higher realizing of the features of complexity in software program. it really is now greatly recognized thatinteraction is without doubt one of the most crucial 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 watch over, and eng- ing in complicated coordination protocols, tend to be orders of value extra complicated 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 so much) real-world purposes have accurately those features. as a result, a massive study subject in c- puter technological know-how over not less than the prior twenty years has been the advance of instruments and methods to version, comprehend, and enforce platforms within which interplay is the norm. certainly, many researchers now think that during destiny computation itself could be understood as chie?y a means 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

Example text

The former has to do with managing the conditions of an agent society as a whole employing a non-accidental and non-chaotic pattern of interactions. For example, auctions employ strict social patterns. Such a mechanism can be employed to control undesirable emergent patterns that need to be remedied. For example, when stock prices rise or fall by too many points in a session, trading curbs are triggered. 4 The agent communication channels are defined as part of the physical environment. The communication environment uses those channels to convey information.

B2 ... B1 ... B2 ... B1 Fig. 1. The structured views for a two-processes multi-language system. possible nesting of bridge operators. g. [3]), it should be able to express the fact that principal 1 believes that its peer 2 believes that it is talking to 1. g. processes) as agents. Without loss of generality, we will limit the ascription capabilities to “belief”, and consider only the case of at most one bridge operator among two views. , n} be the set of process indexes. e. the set of finite strings of process indexes (including the empty string ).

Regions partition the agent’s physical environment into smaller physical units–where each region may have different or unique characteristics. For example, a grid structure can be defined for the ants so that discrete locations are provided for both the ants and their pheromones, as well as the ability to form pheromone paths. Region definition can also include geographic-based attributes, such as lakes, hills, roads, and structures. In social environments, regions spatially partition the environment into groups and roles.

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