LEADER 01296nam--2200373---450- 001 990002972300203316 005 20070913130747.0 010 $a3-540-37246-6 035 $a000297230 035 $aUSA01000297230 035 $a(ALEPH)000297230USA01 035 $a000297230 100 $a20070913d2006----km-y0itay0103----ba 101 0 $aeng 102 $aDE 105 $aa|||||||001yy 200 1 $aAd-Hoc, Mobile, and Wireless Networks$e5th International Conference, ADHOC-NOW 2006$eOttawa, Canada, August 17-19, 2006$eProceedings$fThomas Kunz, S.S. Ravi(Eds.) 210 $aBerlin [etc.]$cSpringer$dcopyr. 2006 215 $aXII, 474 p.$cill.$d20 cm. 225 2 $aLecture Notes in Computer Science$v4104 410 0$12001$aLecture Notes in Computer Science$v4104 606 0 $aReti di elaboratori$xCongressi$yOttawa$z2006 676 $a006.2 702 1$aKUNZ,$bThomas 702 1$aRAVI,$bS.S. 710 12$aInternational Conference on Ad-Hoc Networks and Wireless$d<5. ;$f2006 ;$eOttawa>$0598250 801 0$aIT$bsalbc$gISBD 912 $a990002972300203316 951 $a001 LNCS 4104$b34043/CBS$c001$d00215655 959 $aBK 969 $aSCI 979 $aSENATORE$b90$c20070913$lUSA01$h1307 996 $aAd-Hoc, Mobile, and Wireless Networks$91027673 997 $aUNISA LEADER 06742nam 22008535 450 001 996466169603316 005 20200819131217.0 010 $a1-280-30670-X 010 $a9786610306701 010 $a3-540-24620-7 024 7 $a10.1007/b95187 035 $a(CKB)1000000000212292 035 $a(MH)009329252-X 035 $a(SSID)ssj0000100314 035 $a(PQKBManifestationID)11124710 035 $a(PQKBTitleCode)TC0000100314 035 $a(PQKBWorkID)10036569 035 $a(PQKB)11687624 035 $a(DE-He213)978-3-540-24620-6 035 $a(MiAaPQ)EBC3087653 035 $a(PPN)155186981 035 $a(EXLCZ)991000000000212292 100 $a20121227d2004 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAgent-Oriented Software Engineering IV$b[electronic resource] $e4th International Workshop, AOSE 2003, Melbourne, Australia, July 15, 2003, Revised Papers /$fedited by Paolo Giorgini, Jörg Müller, James Odell 205 $a1st ed. 2004. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2004. 215 $a1 online resource (x, 245 p. )$cill. ; 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v2935 300 $aHeld as part of the 2nd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2003) in Melbourne, July 2003. 311 $a3-540-20826-7 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aModeling Agents and Multiagent Systems -- Using UML in the Context of Agent-Oriented Software Engineering: State of the Art -- Towards a Recursive Agent Oriented Methodology for Large-Scale MAS -- Agent-Oriented Modeling by Interleaving Formal and Informal Specification -- The ROADMAP Meta-model for Intelligent Adaptive Multi-agent Systems in Open Environments -- Modeling Deployment and Mobility Issues in Multiagent Systems Using AUML -- Methodologies and Tools -- A Knowledge-Based Methodology for Designing Reliable Multi-agent Systems -- A Framework for Constructing Multi-agent Applications and Training Intelligent Agents -- Activity Theory for the Analysis and Design of Multi-agent Systems -- A Design Taxonomy of Multi-agent Interactions -- Automatic Derivation of Agent Interaction Model from Generic Interaction Protocols -- Patterns, Architectures, and Reuse -- Building Blocks for Agent Design -- Supporting FIPA Interoperability for Legacy Multi-agent Systems -- Dynamic Multi-agent Architecture Using Conversational Role Delegation -- Roles and Organizations -- Temporal Aspects of Dynamic Role Assignment -- From Agents to Organizations: An Organizational View of Multi-agent Systems -- Modelling Multi-agent Systems with Soft Genes, Roles, and Agents. 330 $aThe explosive growth of application areas such as electronic commerce, ent- prise resource planning and mobile computing has profoundly and irreversibly changed our views on software systems. Nowadays, software is to be based on open architectures that continuously change and evolve to accommodate new components and meet new requirements. Software must also operate on di- rent platforms, without recompilation, and with minimal assumptions about its operating environment and its users. Furthermore, software must be robust and autonomous, capable of serving a naive user with a minimum of overhead and interference. Agent concepts hold great promise for responding to the new realities of so- ware systems. They o?er higher-level abstractions and mechanisms that address issues such as knowledge representation and reasoning, communication, coor- nation, cooperation among heterogeneous and autonomous parties, perception, commitments, goals, beliefs, and intentions, all of which need conceptual mo- ling. On the one hand, the concrete implementation of these concepts can lead to advanced functionalities, e.g., in inference-based query answering, transaction control, adaptive work?ows, brokering and integration of disparate information sources, and automated communication processes. On the other hand, their rich representational capabilities allow more faithful and ?exible treatments of c- plex organizational processes, leading to more e?ective requirements analysis and architectural/detailed design. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v2935 606 $aSoftware engineering 606 $aComputer programming 606 $aProgramming languages (Electronic computers) 606 $aComputer logic 606 $aArtificial intelligence 606 $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002 606 $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 606 $aProgramming Languages, Compilers, Interpreters$3https://scigraph.springernature.com/ontologies/product-market-codes/I14037 606 $aLogics and Meanings of Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/I1603X 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aSoftware engineering. 615 0$aComputer programming. 615 0$aProgramming languages (Electronic computers). 615 0$aComputer logic. 615 0$aArtificial intelligence. 615 14$aSoftware Engineering/Programming and Operating Systems. 615 24$aSoftware Engineering. 615 24$aProgramming Techniques. 615 24$aProgramming Languages, Compilers, Interpreters. 615 24$aLogics and Meanings of Programs. 615 24$aArtificial Intelligence. 676 $a005.1 702 $aGiorgini$b Paolo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMüller$b Jörg$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aOdell$b James$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aInternational Joint Conference on Autonomous Agents and Multiagent Systems$d(2nd :$f2003 :$eMelbourne, Vic.) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466169603316 996 $aAgent-Oriented Software Engineering IV$92018048 997 $aUNISA 999 $aThis Record contains information from the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others the Library of Congress LEADER 00904cam0-2200301 --450 001 9910837999603321 005 20240313091636.0 010 $a978-88-351-2109-1 020 $aIT$b2022-11459 100 $a20240313d2022----kmuy0itay5050 ba 101 0 $aita 102 $aIT 105 $ay 001yy 200 1 $a#Ethics gym$ealleniamo l'etica della comunicazione$fMariagrazia Villa$gprefazione di Barbara Reverberi 210 $aMilano$cAngeli$d2022 215 $a312 p.$d22 cm 225 1 $aProfessioni digitali$v32 610 0 $aComunicazione$aImpiego [dei] Nuovi media$aEtica 676 $a302.231014$v23$zita 700 1$aVilla,$bMariagrazia$0790618 702 1$aReverberi,$bBarbara 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910837999603321 952 $aCollez. 3277 (32)$b926/2024$fFSPBC 959 $aFSPBC 996 $aEthics gym$94132265 997 $aUNINA