001480826 000__ 05094cam\\22006857i\4500 001480826 001__ 1480826 001480826 003__ OCoLC 001480826 005__ 20231031003310.0 001480826 006__ m\\\\\o\\d\\\\\\\\ 001480826 007__ cr\un\nnnunnun 001480826 008__ 230915s2023\\\\sz\a\\\\o\\\\\100\0\eng\d 001480826 019__ $$a1396181986$$a1396696825 001480826 020__ $$a9783031408786$$q(electronic bk.) 001480826 020__ $$a3031408780$$q(electronic bk.) 001480826 020__ $$z9783031408779 001480826 020__ $$z3031408772 001480826 0247_ $$a10.1007/978-3-031-40878-6$$2doi 001480826 035__ $$aSP(OCoLC)1397341040 001480826 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dYDX$$dWSU 001480826 049__ $$aISEA 001480826 050_4 $$aQA76.76.I58$$bE98 2023 001480826 08204 $$a006.3/0285436$$223/eng/20230915 001480826 1112_ $$aEXTRAAMAS (Workshop)$$n(5th :$$d2023 :$$cLondon, England) 001480826 24510 $$aExplainable and transparent AI and multi-agent systems :$$b5th International Workshop, EXTRAAMAS 2023, London, UK, May 29, 2023, Revised selected papers /$$cDavide Calvaresi, Amro Najjar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Yazan Mualla, Kary Främling, editors. 001480826 2463_ $$aEXTRAAMAS 2023 001480826 264_1 $$aCham :$$bSpringer,$$c2023. 001480826 300__ $$a1 online resource (xii, 281 pages) :$$billustrations (some color). 001480826 336__ $$atext$$btxt$$2rdacontent 001480826 337__ $$acomputer$$bc$$2rdamedia 001480826 338__ $$aonline resource$$bcr$$2rdacarrier 001480826 4901_ $$aLecture notes in artificial intelligence 001480826 4901_ $$aLecture notes in computer science ;$$v14127 001480826 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence 001480826 5050_ $$aExplainable Agents and multi-agent systems -- Mining and Validating Belief-based Agent Explanations -- Evaluating a mechanism for explaining BDI agent behaviour -- A General-Purpose Protocol for Multi-Agent based Explanations -- Dialogue Explanations for Rules-based AI Systems -- Estimating Causal Responsibility for Explaining Autonomous Behavior -- Explainable Machine Learning -- The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing -- Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors -- Imperative Action Masking for Safe Exploration in Reinforcement Learning -- Reinforcement Learning in Cyclic Environmental Change for Non-Communicative Agents: A Theoretical Approach -- Inherently Interpretable Deep Reinforcement Learning through Online Mimicking -- Counterfactual, Contrastive, and Hierarchical Explanations with Contextual Importance and Utility -- Cross-domain applied XAI -- Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification -- Metrics for Evaluating Explainable Recommender Systems -- Leveraging Imperfect Explanations for Plan Recognition Problems -- Reinterpreting Vulnerability to Tackle Deception in Principles-Based XAI for Human-Computer Interaction -- Using Cognitive Models and Wearables to Diagnose and Predict Dementia Patient Behaviour. 001480826 506__ $$aAccess limited to authorized users. 001480826 520__ $$aThis volume LNCS 14127 constitutes the refereed proceedings of the 5th International Workshop, EXTRAAMAS 2023, held in London, UK, in May 2023. The 15 full papers presented together with 1 short paper were carefully reviewed and selected from 26 submissions. The workshop focuses on Explainable Agents and multi-agent systems; Explainable Machine Learning; and Cross-domain applied XAI. 001480826 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 15, 2023). 001480826 650_0 $$aIntelligent agents (Computer software)$$vCongresses.$$vCongresses$$0(DLC)sh2008104780 001480826 655_0 $$aElectronic books. 001480826 655_7 $$aConference papers and proceedings.$$2lcgft 001480826 7001_ $$aCalvaresi, Davide,$$eeditor.$$1https://orcid.org/0000-0001-9816-7439 001480826 7001_ $$aNajjar, Amro,$$eeditor.$$1https://orcid.org/0000-0001-7784-6176 001480826 7001_ $$aOmicini, Andrea,$$d1965-$$eeditor.$$1https://orcid.org/0000-0002-6655-3869 001480826 7001_ $$aAydoğan, Reyhan,$$eeditor.$$1https://orcid.org/0000-0002-5260-9999 001480826 7001_ $$aCarli, Rachele,$$eeditor.$$0(orcid)0000-0002-8689-285X$$1https://orcid.org/0000-0002-8689-285X 001480826 7001_ $$aCiatto, Giovanni,$$eeditor.$$0(orcid)0000-0002-1841-8996$$1https://orcid.org/0000-0002-1841-8996 001480826 7001_ $$aMualla, Yazan,$$eeditor.$$0(orcid)0000-0002-6772-6135$$1https://orcid.org/0000-0002-6772-6135 001480826 7001_ $$aFrämling, Kary,$$eeditor.$$1https://orcid.org/0000-0002-8078-5172 001480826 77608 $$iPrint version: $$z3031408772$$z9783031408779$$w(OCoLC)1389554459 001480826 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 001480826 830_0 $$aLecture notes in computer science ;$$v14127. 001480826 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 001480826 852__ $$bebk 001480826 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-40878-6$$zOnline Access$$91397441.1 001480826 909CO $$ooai:library.usi.edu:1480826$$pGLOBAL_SET 001480826 980__ $$aBIB 001480826 980__ $$aEBOOK 001480826 982__ $$aEbook 001480826 983__ $$aOnline 001480826 994__ $$a92$$bISE