000 05543nam a22006615i 4500
001 978-3-540-31946-7
003 DE-He213
005 20240423125808.0
007 cr nn 008mamaa
008 100713s2005 gw | s |||| 0|eng d
020 _a9783540319467
_9978-3-540-31946-7
024 7 _a10.1007/b136434
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aAgent-Oriented Information Systems II
_h[electronic resource] :
_b6th International Bi-Conference Workshop, AOIS 2004, Riga, Latvia, June 8, 2004 and New York, NY, USA, July 20, 2004, Revised Selected Papers /
_cedited by Paolo Bresciani, Paolo Giorgini, Brian Henderson-Sellers, Graham Low, Michael Winikoff.
250 _a1st ed. 2005.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2005.
300 _aX, 230 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 Artificial Intelligence,
_x2945-9141 ;
_v3508
505 0 _aInformation Systems -- An Agent-Based Collaborative Emergent Process Management System -- Mobeet: A Multi-agent Framework for Ubiquitous Information Systems -- The Analysis of Coordination in an Information System Application – Emergency Medical Services -- Market-Based Recommender Systems: Learning Users’ Interests by Quality Classification -- Analysis and Modeling -- SNet Reloaded: Roles, Monitoring and Agent Evolution -- Analyzing Multiparty Agreements with Commitments -- Fact-Orientation Meets Agent-Orientation -- Towards Ontological Foundations for Agent Modelling Concepts Using the Unified Fundational Ontology (UFO) -- Methodologies -- AgentZ: Extending Object-Z for Multi-agent Systems Specification -- Incorporating Elements from the Prometheus Agent-Oriented Methodology in the OPEN Process Framework -- A Preliminary Comparative Feature Analysis of Multi-agent Systems Development Methodologies -- Applications -- CMRadar: A Personal Assistant Agent for Calendar Management -- Agents as Catalysts for Mobile Computing -- A Systematic Approach for Including Machine Learning in Multi-agent Systems -- Agents to Foster Conscious Design and Reuse in Architecture.
520 _aInformation systems have become the backbone of all kinds of organizations - day. In almost every sector – manufacturing, education, health care, government and businesses large and small – information systems are relied upon for - eryday work, communication, information gathering and decision-making. Yet, the in?exibilities in current technologies and methods have also resulted in poor performance, incompatibilities and obstacles to change. As many organizations are reinventing themselves to meet the challenges of global competition and e-commerce, there is increasing pressure to develop and deploy new technologies that are ?exible, robust and responsive to rapid and unexpected change. Agent concepts hold great promise for responding to the new realities of - formation systems. They o?er higher-level abstractions and mechanisms which address issues such as knowledge representation and reasoning, communication, coordination, cooperation among heterogeneous and autonomous parties, p- ception, commitments, goals, beliefs, intentions, etc., all of which need conc- tual modelling. On the one hand, the concrete implementation of these concepts can lead to advanced functionalities, e.g., in inference-based query answering, transaction control, adaptive work ?ows, brokering and integration of disparate information sources, and automated communication processes. On the other hand, their rich representational capabilities allow for more faithful and ?- ible treatments of complex organizational processes, leading to more e?ective requirements analysis and architectural/detailed design.
650 0 _aArtificial intelligence.
650 0 _aComputer networks .
650 0 _aInformation storage and retrieval systems.
650 0 _aApplication software.
650 0 _aUser interfaces (Computer systems).
650 0 _aHuman-computer interaction.
650 1 4 _aArtificial Intelligence.
650 2 4 _aComputer Communication Networks.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aUser Interfaces and Human Computer Interaction.
700 1 _aBresciani, Paolo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGiorgini, Paolo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHenderson-Sellers, Brian.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLow, Graham.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWinikoff, Michael.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540259114
776 0 8 _iPrinted edition:
_z9783540810766
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3508
856 4 0 _uhttps://doi.org/10.1007/b136434
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cSPRINGER
999 _c181789
_d181789