Agents and artificial intelligence =...
ICAART (Conference) (2020 :)

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  • Agents and artificial intelligence = 12th International Conference, ICAART 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Agents and artificial intelligence/ edited by Ana Paula Rocha, Luc Steels, Jaap van den Herik.
    其他題名: 12th International Conference, ICAART 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers /
    其他題名: ICAART 2020
    其他作者: Rocha, Ana Paula.
    團體作者: ICAART (Conference)
    出版者: Cham :Springer International Publishing : : 2021.,
    面頁冊數: xvii, 506 p. :ill., digital ;24 cm.
    內容註: Herd Behavior is Sufficient to Reproduce Human Evacuation Decisions During the Great East Japan Earthquake -- Intelligent Local Energy Communities: A Multiagent System Approach -- A Game-theoretical Incentive Mechanism for Local Energy Communities -- On the Combination of Game-Theoretic Learning and Multi Model Adaptive Filters -- Cooperative Multi-Agent Systems for the Multi-Target-Coverage Problem -- A Dynamic Scheduling Multiagent System for Truck Dispatching in Open-Pit Mines -- Time Matters: Exploring the Effects of Urgency and Reaction Speed in Automated Traders -- Cost-Sensitive Semi-Supervised Classification for Fraud Applications -- Blending NLP and Machine Learning for the Development of Winograd Schemas -- Cognitive Map Query Language for Temporal Domains -- Choose Your Words Wisely: Leveraging Embedded Dialog Trajectories to Enhance Performance in Open-Domain Conversations -- Heuristic Learning in Domain-independent Planning: Theoretical Analysis and Experimental Evaluation -- Knowledge Injection to Neural Networks with Progressive Learning Strategy -- A Scalable and Automated Machine Learning Framework to Support Risk Management -- Designing New Data Replication Strategies Automatically -- Trading Bias for Expressivity in Artificial Learning -- A Multi-Modal Audience Engagement Measurement System -- Learning Latent Variable Models with Discriminant Regularization -- Continuous Multi-Agent Path Finding via Satisfiability Modulo Theories -- Unsupervised Feature Value Selection Based on Explainability -- Reducing the Need for Manual Annotated Datasets in Aspect Sentiment Classification by Transfer Learning and Weak-Supervision -- Quantifying Gaze-Based Strategic Patterns in Physics Vector Field Divergence -- Economic and Food Safety: Optimized Inspection Routes Generation.
    Contained By: Springer Nature eBook
    標題: Artificial intelligence - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-030-71158-0
    ISBN: 9783030711580
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W9400787 電子資源 11.線上閱覽_V 電子書 EB Q334 .I33 2020 一般使用(Normal) 在架 0
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