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001449597 001__ 1449597
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001449597 019__ $$a1344422373
001449597 020__ $$a9783031164743$$q(electronic bk.)
001449597 020__ $$a3031164741$$q(electronic bk.)
001449597 020__ $$z9783031164736
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001449597 0247_ $$a10.1007/978-3-031-16474-3$$2doi
001449597 035__ $$aSP(OCoLC)1344542375
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001449597 049__ $$aISEA
001449597 050_4 $$aQ334
001449597 08204 $$a006.3$$223/eng/20220923
001449597 1112_ $$aPortuguese Conference on Artificial Intelligence$$n(21st :$$d2022 :$$cLisbon, Portugal)
001449597 24510 $$aProgress in artificial intelligence :$$b21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31-September 2, 2022, Proceedings /$$cGoreti Marreiros, Bruno Martins, Ana Paiva, Bernardete Ribeiro, Alberto Sardinha (eds.).
001449597 2463_ $$aEPIA 2022
001449597 260__ $$aCham :$$bSpringer,$$c2022.
001449597 300__ $$a1 online resource (818 pages)
001449597 336__ $$atext$$btxt$$2rdacontent
001449597 337__ $$acomputer$$bc$$2rdamedia
001449597 338__ $$aonline resource$$bcr$$2rdacarrier
001449597 4901_ $$aLecture notes in artificial intelligence
001449597 4901_ $$aLecture notes in computer science ;$$v13566
001449597 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence
001449597 500__ $$a1 Presentation of the European Draft Regulation
001449597 500__ $$aIncludes author index.
001449597 5050_ $$aIntro -- Preface -- Organization -- Contents -- AI4IS -- Artificial Intelligence for Industry and Societies -- Estimating the Temperature on the Reinforcing Bars of Composite Slabs Under Fire Conditions -- 1 Introduction -- 2 Transient Thermal Problem -- 2.1 Physical Multidomains -- 2.2 Boundary Conditions Corresponding to a Standard Fire -- 2.3 Analytical Method Provided by the Standard Eurocode -- 3 Improving the Analytical Method with Numerical Results -- 3.1 Computational Solution by Finite Elements Method -- 3.2 Improving the New Proposal with an Optimization Method
001449597 5058_ $$a3.3 Improving the New Proposal by the Linear Least Squares Method -- 3.4 Comparison of the Results -- 4 Conclusion -- References -- Hierarchically Structured Scheduling and Execution of Tasks in a Multi-agent Environment -- 1 Introduction -- 2 Related Work -- 2.1 Resource Management -- 2.2 Hierarchical Reinforcement Learning -- 3 Background -- 3.1 Markov Decision Problems -- 3.2 Reinforcement Learning -- 3.3 Multi-agent Markov Decision Problems -- 3.4 Multi-agent Reinforcement Learning -- 3.5 Hierarchical Reinforcement Learning -- 4 Problem Setting -- 4.1 High-Level -- 4.2 Low-Level
001449597 5058_ $$a4.3 Implementation Details -- 5 Evaluation -- 5.1 Environment Settings -- 5.2 Experimental Results -- 5.3 Additional Experiments -- 6 Conclusion -- References -- AIL -- Artificial Intelligence and Law -- Content-Based Lawsuits Document Image Retrieval -- 1 Introduction -- 2 Proposal -- 3 Application -- 3.1 Contextualization and Database -- 3.2 Preprocessing and Feature Extraction -- 3.3 Similarity Calculation and Result Presentation -- 4 Experiments -- 4.1 CNN's Choice -- 4.2 Hybrid Algorithm Evaluation -- 5 Conclusion -- References -- Lawsuits Document Images Processing Classification
001449597 5058_ $$a1 Introduction -- 2 Related Work -- 3 Background -- 4 Proposal -- 4.1 Preprocessing -- 4.2 Classification -- 5 Experiment -- 5.1 Preprocessing -- 5.2 Classification -- 6 Conclusion -- References -- A Rapid Semi-automated Literature Review on Legal Precedents Retrieval -- 1 Introduction -- 2 Materials and Methods -- 2.1 Rapid Reviews -- 2.2 Literature Review Automation -- 2.3 Keyword Identification -- 2.4 Electronic Databases and Eligibility Criteria -- 2.5 Data Extraction and Pre-processing -- 2.6 Screening Based on Keyword Frequency -- 2.7 Topic Modelling for Eligibility
001449597 5058_ $$a2.8 Full-Text Screening for Inclusion -- 3 Results -- 3.1 Descriptive Analytics -- 3.2 Content Analysis -- 4 Discussion -- 4.1 RQ1 (How has the Task of Automating the Identification of Previous Relevant Cases been Addressed by the Researchers?) and RQ2 (What Types of Techniques are Covered in the Reviewed Studies?) -- 4.2 RQ3: What are the Most Promising Strategies and Research Gaps in Automating the Retrieval of Legal Precedents? -- 5 Conclusions, Limitations, and Future Research -- References -- The European Draft Regulation on Artificial Intelligence: Houston, We Have a Problem
001449597 506__ $$aAccess limited to authorized users.
001449597 520__ $$aThis book constitutes the proceedings of the 21st EPIA Conference on Artificial Intelligence, EPIA 2022, which took place in Lisbon, Portugal, in August/September 2022. The 64 papers presented in this volume were carefully reviewed and selected from 85 submissions. They were organized in topical sections as follows: AI4IS - Artificial Intelligence for Industry and Societies; AIL - Artificial Intelligence and Law; AIM - Artificial Intelligence in Medicine; AIPES - Artificial Intelligence in Power and Energy Systems; AITS - Artificial Intelligence in Transportation Systems; AmIA - Ambient Intelligence and Affective Environments; GAI - General AI; IROBOT - Intelligent Robotics; KDBI - Knowledge Discovery and Business Intelligence; KRR - Knowledge Representation and Reasoning; MASTA - Multi-Agent Systems: Theory and Applications; TeMA - Text Mining and Applications.
001449597 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 23, 2022).
001449597 650_0 $$aArtificial intelligence$$vCongresses.
001449597 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001449597 655_0 $$aElectronic books.
001449597 7001_ $$aMarreiros, Goreti.
001449597 7001_ $$aMartins, Bruno.
001449597 7001_ $$aPaiva, Ana.
001449597 7001_ $$aRibeiro, Bernardete.
001449597 7001_ $$aSardinha, Alberto.
001449597 77608 $$iPrint version:$$aMarreiros, Goreti.$$tProgress in Artificial Intelligence.$$dCham : Springer International Publishing AG, ©2022$$z9783031164736
001449597 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001449597 830_0 $$aLecture notes in computer science ;$$v13566.
001449597 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001449597 852__ $$bebk
001449597 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16474-3$$zOnline Access$$91397441.1
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001449597 980__ $$aBIB
001449597 980__ $$aEBOOK
001449597 982__ $$aEbook
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