000 03702nam a22004935i 4500
001 978-3-642-01064-4
003 DE-He213
005 20140220084522.0
007 cr nn 008mamaa
008 100601s2010 gw | s |||| 0|eng d
020 _a9783642010644
_9978-3-642-01064-4
024 7 _a10.1007/978-3-642-01064-4
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aWeyns, Danny.
_eauthor.
245 1 0 _aArchitecture-Based Design of Multi-Agent Systems
_h[electronic resource] /
_cby Danny Weyns.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2010.
300 _aXVII, 224p. 77 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aOverview of Architecture-Based Design of Multi-Agent Systems -- Capturing Expertise in Multi-agent System Engineering with Architectural Patterns -- Architectural Design of Multi-Agent Systems -- Middleware for Distributed Multi-agent Systems -- Task Assignment -- Evaluation of Multi-agent System Architectures -- Related Approaches -- Conclusions.
520 _aMulti-agent systems are claimed to be especially suited to the development of software systems that are decentralized, can deal flexibly with dynamic conditions, and are open to system components that come and go. This is why they are used in domains such as manufacturing control, automated vehicles, and e-commerce markets. Danny Weyns' book is organized according to the postulate that "developing multi-agent systems is 95% software engineering and 5% multi-agent systems theory." He presents a software engineering approach for multi-agent systems that is heavily based on software architecture - with, for example, tailored patterns such as "situated agent", "virtual environment", and "selective perception" - and on middleware for distributed coordination – with programming abstractions such as "views" and "roles." Next he shows the feasibility and applicability of this approach with the development of an automated transportation system consisting of a number of automatic guided vehicles transporting loads in an industrial setting. Weyns puts the development of multi-agent systems into a larger perspective with traditional software engineering approaches. With this, he opens up opportunities to exploit the body of knowledge developed in the multi-agent systems community to tackle some of the difficult challenges of modern-day software systems, such as decentralized control, location-awareness, self-adaption, and large-scale. Thus his book is of interest for both researchers and industrial software engineers who develop applications in areas such as distributed control systems and mobile applications where such requirements are of crucial importance.
650 0 _aComputer science.
650 0 _aSoftware engineering.
650 0 _aArtificial intelligence.
650 0 _aIndustrial engineering.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aSoftware Engineering/Programming and Operating Systems.
650 2 4 _aIndustrial and Production Engineering.
650 2 4 _aSpecial Purpose and Application-Based Systems.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642010637
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-01064-4
912 _aZDB-2-SCS
999 _c111338
_d111338