001451474 000__ 06376cam\a2200685\i\4500 001451474 001__ 1451474 001451474 003__ OCoLC 001451474 005__ 20230310004701.0 001451474 006__ m\\\\\o\\d\\\\\\\\ 001451474 007__ cr\cn\nnnunnun 001451474 008__ 221127s2022\\\\sz\a\\\\o\\\\\101\0\eng\d 001451474 019__ $$a1351740445$$a1351752579 001451474 020__ $$a9783031208454$$q(electronic bk.) 001451474 020__ $$a3031208455$$q(electronic bk.) 001451474 020__ $$z9783031208447 001451474 020__ $$z3031208447 001451474 0247_ $$a10.1007/978-3-031-20845-4$$2doi 001451474 035__ $$aSP(OCoLC)1351735196 001451474 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCQ 001451474 049__ $$aISEA 001451474 050_4 $$aTJ215.5 001451474 08204 $$a006.30285/436$$223/eng/20221208 001451474 1112_ $$aInternational Workshop on Coordination, Organizations, Institutions, and Norms for Governance of Multi-Agent Systems$$d(2022 :$$cAuckland, N.Z.). 001451474 24510 $$aCoordination, organizations, institutions, norms, and ethics for governance of multi-agent systems XV :$$bInternational workshop, COINE 2022, virtual event, May 9, 2022 : revised selected papers /$$cNirav Ajmeri, Andreasa Morris Martin, Bastin Tony Roy Savarimuthu (eds.). 001451474 24630 $$aCOINE 2022 001451474 264_1 $$aCham :$$bSpringer,$$c[2022] 001451474 264_4 $$c©2022 001451474 300__ $$a1 online resource (x, 231 pages) :$$billustrations (chiefly color). 001451474 336__ $$atext$$btxt$$2rdacontent 001451474 337__ $$acomputer$$bc$$2rdamedia 001451474 338__ $$aonline resource$$bcr$$2rdacarrier 001451474 4901_ $$aLecture notes in computer science. Lecture notes in artificial intelligence ;$$v13549 001451474 4901_ $$aLNCS sublibrary: SL7 - Artificial intelligence 001451474 500__ $$aSelected conference papers. 001451474 500__ $$aIncludes author index. 001451474 5050_ $$aIntro -- Preface -- Organization -- Consent as a Foundation for Responsible Autonomy (Abstracts) -- Contents -- Designing International Humanitarian Law into Military Autonomous Devices*-12pt -- 1 Introduction -- 2 The Law and the Operational Framework -- 2.1 The Targeting Cycle -- 2.2 Integrating the Law into the Cycle -- 3 Timing and Application of Legal Tests -- 4 The General Framework of the Autonomous Targeting System -- 5 The Structure of the System -- 5.1 The Basics of the Model -- 5.2 The Structure -- 6 Discussion and Conclusions -- References 001451474 5058_ $$aEpistemic Diversity and Explanatory Adequacy in Distributed Information Processing*-12pt -- 1 Introduction -- 2 Background: DIP, RTSI and Plato's Cave -- 2.1 Distributed Information Processing Units (DIPs) -- 2.2 Regulatory Theory of Social Influence (RTSI) -- 2.3 Problem Specification -- 3 Experimental Design -- 3.1 Initial Conditions for the DIP (Independent Variables) -- 3.2 Epistemic Condition and Explanatory Adequacy -- 4 Formal Specification -- 4.1 The Environment -- 4.2 Agent Specification -- 4.3 Algorithm -- 5 Experimental Results -- 5.1 Experiment 1: Static and Dynamic Populations 001451474 5058_ $$a5.2 Dynamic Population, Progressive Addition, non-Persistence -- 5.3 Dynamic Population, Progressive Addition, Persistence -- 5.4 Summary of Experiments -- 6 Related and Further Research -- 7 Summary and Conclusion -- References -- The Complexity of Norm Synthesis and Revision -- 1 Introduction -- 2 Preliminaries -- 3 Complexity of Norm Synthesis -- 3.1 Prohibition Synthesis -- 3.2 Obligation Synthesis -- 4 Complexity of Synthesising a Set of Norms -- 5 Complexity of Minimal Revision -- 5.1 Complexity of Minimal Prohibition Revision -- 5.2 Complexity of Minimal Obligation Revision 001451474 5058_ $$a6 Related Work -- 7 Conclusions -- References -- Embracing AWKWARD! Real-Time Adjustment of Reactive Plans Using Social Norms -- 1 Introduction -- 2 Background -- 2.1 Behaviour Oriented Design -- 2.2 OperA -- 3 The AWKWARD Architecture -- 3.1 The AWKWARD Planner -- 3.2 The OperA Module -- 3.3 Behaviour Library -- 4 Implementation in DOTA2 -- 4.1 DOTA2 -- 4.2 The Reactive Planner Module and Behaviour Library -- 4.3 The OperA Module Implementation -- 5 Results -- 6 Related Work -- 6.1 Behaviour-Based AI -- 6.2 Normative Agents and Self-organisation -- 6.3 Hybrid Approaches with Reactive Planning 001451474 5058_ $$a7 Conclusions and Future Work -- References -- Self-learning Governance of Black-Box Multi-Agent Systems -- 1 Introduction -- 1.1 Motivation -- 1.2 Illustration of the Governance Approach -- 1.3 Contribution -- 2 Related Work -- 3 Model -- 3.1 Notation -- 3.2 Multi-Agent System -- 3.3 Governance -- 3.4 Sequence of Actions in a GMAS -- 3.5 Degree of Restriction -- 4 Model Analysis -- 4.1 Fairness -- 4.2 Learning -- 4.3 Stationarity -- 5 Experimental Evidence -- 5.1 The Dining Diplomats' Problem -- 5.2 Reward Functions -- 5.3 Configurations -- 5.4 Frameworks and Algorithms -- 5.5 Reproducibility 001451474 506__ $$aAccess limited to authorized users. 001451474 520__ $$aThis book constitutes the thoroughly refereed post-conference proceedings of the International Workshop on Coordination, Organizations, Institutions, and Norms for Governance of Multi-Agent Systems, COINE 2022, which was held in Auckland, New Zealand, on May 9, 2022. The 14 papers included in these proceedings were carefully reviewed and selected from 15 submissions. They deal with autonomous agents and multi-agent systems, focusing on the scientific and technological aspects of social coordination, organizational theory, artificial (electronic) institutions, and normative and ethical MAS. 001451474 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 8, 2022). 001451474 650_0 $$aMultiagent systems$$vCongresses. 001451474 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001451474 655_7 $$aConference papers and proceedings.$$2lcgft 001451474 655_0 $$aElectronic books. 001451474 7001_ $$aAjmeri, Nirav,$$eeditor. 001451474 7001_ $$aMartin, Andreasa Morris,$$eeditor. 001451474 7001_ $$aSavarimuthu, Bastin Tony Roy,$$eeditor.$$1https://isni.org/isni/0000000062210506 001451474 77608 $$iPrint version: $$z3031208447$$z9783031208447$$w(OCoLC)1346943895 001451474 830_0 $$aLecture notes in computer science ;$$v13549. 001451474 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 001451474 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 001451474 852__ $$bebk 001451474 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-20845-4$$zOnline Access$$91397441.1 001451474 909CO $$ooai:library.usi.edu:1451474$$pGLOBAL_SET 001451474 980__ $$aBIB 001451474 980__ $$aEBOOK 001451474 982__ $$aEbook 001451474 983__ $$aOnline 001451474 994__ $$a92$$bISE