000 03617nam a22006855i 4500
001 978-3-540-45354-3
003 DE-He213
005 20240423132527.0
007 cr nn 008mamaa
008 121227s2001 gw | s |||| 0|eng d
020 _a9783540453543
_9978-3-540-45354-3
024 7 _a10.1007/3-540-45354-7
_2doi
050 4 _aQA76.9.D35
050 4 _aQ350-390
072 7 _aUMB
_2bicssc
072 7 _aGPF
_2bicssc
072 7 _aCOM021000
_2bisacsh
072 7 _aUMB
_2thema
072 7 _aGPF
_2thema
082 0 4 _a005.73
_223
082 0 4 _a003.54
_223
100 1 _aNagi, Khaled.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aTransactional Agents
_h[electronic resource] :
_bTowards a Robust Multi-Agent System /
_cby Khaled Nagi.
250 _a1st ed. 2001.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2001.
300 _aXVI, 208 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v2249
505 0 _aApplication Scenario -- Overview of Agent Technology -- Overview of Transaction Processing -- Proposed Approach: Transactional Agents -- The Agent Transaction Model -- Robustness Guaranteeing Mechanisms -- Interacting with the Execution Agent -- Simulation Study -- Simulation Results -- Summary and Future Work.
520 _aThe term “agent” is one of those catchwords that mean widely differing things to different people. To telecommunications people it is little more than a mobile piece of code that may be executed at any place. At the other extreme, AI people often associate with agents human-like traits such as social behavior. In between, software people view agents as fairly self-contained pieces of software that, at the low end, pretty much act like objects and, at the high end, more or less auto- mously decide when and how to react to stimuli or proactively initiate effects that can be observed from their environment. Software agents are particularly important when it comes to distributed en- ronments. There, much of the communication takes place asynchronously, that is the sequence of events cannot be planned ahead in all detail. Instead, agents are given rules as to how to interpret the current situation and, given a common goal, so that they adjust their response accordingly.
650 0 _aData structures (Computer science).
650 0 _aInformation theory.
650 0 _aArtificial intelligence.
650 0 _aComputer networks .
650 0 _aDatabase management.
650 0 _aSoftware engineering.
650 0 _aInformation storage and retrieval systems.
650 1 4 _aData Structures and Information Theory.
650 2 4 _aArtificial Intelligence.
650 2 4 _aComputer Communication Networks.
650 2 4 _aDatabase Management.
650 2 4 _aSoftware Engineering.
650 2 4 _aInformation Storage and Retrieval.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540430469
776 0 8 _iPrinted edition:
_z9783662166116
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v2249
856 4 0 _uhttps://doi.org/10.1007/3-540-45354-7
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
912 _aZDB-2-BAE
942 _cSPRINGER
999 _c188729
_d188729