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|a com.springer.onix.9783030595357
|b Springer Nature
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|d 2020 :
|c Moscow, Russia)
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| 245 |
1 |
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|a Artificial intelligence :
|b 18th Russian Conference, RCAI 2020, Moscow, Russia, October 10-16, 2020, Proceedings /
|c Sergei O. Kuznetsov, Aleksandr I. Panov, Konstantin S. Yakovlev (eds.).
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|a RCAI 2020
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|a Cham, Switzerland :
|b Springer,
|c [2020]
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|a 1 online resource
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|a text
|b txt
|2 rdacontent
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|a online resource
|b cr
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| 490 |
1 |
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|a Lecture Notes in Computer Science ;
|v 12412
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| 490 |
1 |
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|a Lecture notes in artificial intelligence
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1 |
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|a LNCS sublibrary, SL 7, Artificial intelligence
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| 500 |
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|a International conference proceedings.
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|a Intro -- Preface -- Organization -- Contents -- Automated Reasoning and Data Mining -- Axiomatization of Classes of Domain Cases Based on FCA -- 1 Introduction -- 2 Preliminaries -- 2.1 Domain Cases -- 2.2 Formal Contexts of Axiomatizable Classes -- 2.3 Relatively Axiomatizable Classes -- 3 Axiomatization of Classes of Domain Cases -- 3.1 Sentences Permissible for Models -- 3.2 Theories of Classes of Models Having Different Signatures -- 3.3 Axiomatizable Classes and Decidability of Theories -- 4 Conclusion -- References
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| 505 |
8 |
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|a The Combined Method of Automated Knowledge Acquisition from Various Sources: The Features of Development and Experimental Research of the Temporal Version -- 1 Introduction -- 2 The Evolution of the Combined Method of Knowledge Acquisition and Means of Its Implementation -- 3 Features of the Organization of Software Experiments Based on the Temporal Version of CMKA -- 3.1 General Organization of the Language Experiment -- 3.2 General Organization of Experiments with Temporal Database -- 3.3 Merging of Knowledge Field's Elements -- 4 Conclusion -- References
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| 505 |
8 |
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|a Multi-agent Systems, Intelligent Robots and Behavior Planning -- Multi-agent Path Finding with Kinematic Constraints via Conflict Based Search -- 1 Introduction -- 2 Problem Statement -- 3 Suggested Approach -- 3.1 Conflict Based Search Algorithm -- 3.2 Continuous Conflict Based Search Algorithm -- 3.3 Safe Interval Path Planning with Rotations -- 3.4 Implementation Details -- 4 Experimental Evaluation -- 4.1 CCBS vs CCBS-kc -- 4.2 AA-SIPP(m) vs CCBS-kc -- 4.3 Comparison of Heuristic Functions -- 5 Conclusion -- References
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| 505 |
8 |
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|a Map-Merging Algorithms for Visual SLAM: Feasibility Study and Empirical Evaluation -- 1 Introduction -- 2 Related Work -- 2.1 vSLAM Algorithms -- 2.2 Map-Merging Algorithms -- 3 Problem Statement -- 4 Methods and Metrics Overview -- 5 Experimental Evaluation and Results -- 5.1 Setup -- 5.2 Results -- 6 Conclusion -- References -- Can a Robot Be a Moral Agent? -- 1 Introduction -- 2 A Moral Agent -- 3 Phenomena and Mechanisms -- 3.1 Emotions and Needs -- 3.2 Model of the World, "I" -- 3.3 Imitative Behavior -- 3.4 Empathy -- 3.5 Characteristic Properties of Moral Agents -- 4 Conclusion
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| 504 |
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|a References-Navigating Autonomous Vehicle at the Road Intersection Simulator with Reinforcement Learning-1 Introduction-2 Related Works-3 Background-4 Environment Description-4.1 Technical Details-4.2 Actions-4.3 State-4.4 Reward Function-4.5 Environment Performance-5 Experiments-5.1 Results for Tracks Without Bots and States Represented as Vector-5.2 Results for Tracks Without Bots and States Represented as Image-5.3 Influence of Different Sets of Vectors Features on the Convergence of the Algorithms-5.4 Results for Tracks with Bots-6 Conclusion.
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|a Includes bibliographical references and author index.
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| 520 |
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|a This book constitutes the proceedings of the 18th Russian Conference on Artificial Intelligence, RCAI 2020, held in Moscow, Russia, in October 2020. The 27 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 140 submissions. The conference deals with a wide range of topics, including data mining and knowledge discovery, text mining, reasoning, decisionmaking, natural language processing, vision, intelligent robotics, multi-agent systems, machine learning, AI in applied systems, and ontology engineering.
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|a Artificial intelligence
|v Congresses.
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|a Computer science.
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|a Computers.
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|a Natural language processing (Computer science)
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|a computers.
|2 aat
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|a Information technology: general issues.
|2 bicssc
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|a Computer science.
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|a Natural language & machine translation.
|2 bicssc
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|a Computer networking & communications.
|2 bicssc
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| 650 |
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7 |
|a Artificial intelligence.
|2 bicssc
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7 |
|a Computers
|x Social Aspects
|x Human-Computer Interaction.
|2 bisacsh
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| 650 |
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7 |
|a Computers
|x Computer Science.
|2 bisacsh
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| 650 |
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7 |
|a Computers
|x Speech & Audio Processing.
|2 bisacsh
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7 |
|a Computers
|x Online Services
|x General.
|2 bisacsh
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| 650 |
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|a Computers
|x Intelligence (AI) & Semantics.
|2 bisacsh
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|a Artificial intelligence
|2 fast
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| 650 |
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7 |
|a Computer science
|2 fast
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|a Computers
|2 fast
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| 650 |
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|a Natural language processing (Computer science)
|2 fast
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| 655 |
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|a proceedings (reports)
|2 aat
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| 655 |
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|a Conference papers and proceedings
|2 fast
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|a Conference papers and proceedings.
|2 lcgft
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|a Actes de congrès.
|2 rvmgf
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| 700 |
1 |
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|a Kuznetsov, Sergei O.
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| 700 |
1 |
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|a Panov, Aleksandr I.
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| 700 |
1 |
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|a Yakovlev, Konstantin S.
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| 758 |
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|i has work:
|a Artificial general intelligence (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFvGtFdyXHkrBCGtwTgXFq
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 776 |
0 |
8 |
|i Print version:
|a Kuznetsov, Sergei O.
|t Artificial Intelligence : 18th Russian Conference, RCAI 2020, Moscow, Russia, October 10-16, 2020, Proceedings.
|d Cham : Springer International Publishing AG, ©2020
|z 9783030595340
|
| 830 |
|
0 |
|a Lecture notes in computer science ;
|v 12412.
|
| 830 |
|
0 |
|a Lecture notes in computer science.
|p Lecture notes in artificial intelligence.
|
| 830 |
|
0 |
|a LNCS sublibrary.
|n SL 7,
|p Artificial intelligence.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-59535-7
|y Click for online access
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| 903 |
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|a SPRING-COMP2020
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| 994 |
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|a 92
|b HCD
|