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Agents and Artificial Intelligence =...
~
van den Herik, Jaap.
Agents and Artificial Intelligence = 11th International Conference, ICAART 2019, Prague, Czech Republic, February 19–21, 2019, Revised Selected Papers /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Agents and Artificial Intelligence/ edited by Jaap van den Herik, Ana Paula Rocha, Luc Steels.
其他題名:
11th International Conference, ICAART 2019, Prague, Czech Republic, February 19–21, 2019, Revised Selected Papers /
其他作者:
van den Herik, Jaap.
面頁冊數:
XVIII, 363 p. 163 illus., 89 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Artificial intelligence. -
電子資源:
https://doi.org/10.1007/978-3-030-37494-5
ISBN:
9783030374945
Agents and Artificial Intelligence = 11th International Conference, ICAART 2019, Prague, Czech Republic, February 19–21, 2019, Revised Selected Papers /
Agents and Artificial Intelligence
11th International Conference, ICAART 2019, Prague, Czech Republic, February 19–21, 2019, Revised Selected Papers /[electronic resource] :edited by Jaap van den Herik, Ana Paula Rocha, Luc Steels. - 1st ed. 2019. - XVIII, 363 p. 163 illus., 89 illus. in color.online resource. - Lecture Notes in Artificial Intelligence ;11978. - Lecture Notes in Artificial Intelligence ;9285.
The Dynamics of Semantic Change: A Corpus-based Analysis -- Reinforcement Learning Method for ad Networks Ordering in Real-time Bidding -- Neural Hidden Markov Model -- A General Approach to Distributed and Privacy-Preserving Heuristic Computation -- Social Golfer Problem Revisited -- Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights -- Multi-Agent Path Finding with Generalized Conflicts: An Experimental Study -- Dynamics of Narrow-minded Belief and Its Cut-free Sequent Calculus -- Application of PSO-based Constrained Combinatorial Optimization to Segment Assignment in Shield Tunneling -- Boosting Local Search using Machine Learning: A Study on Improving Local Search by Graph Classification in Determining Capacity of Shunting Yards -- Bipartite Split-merge Evolutionary Clustering -- Wide and Deep Reinforcement Learning Extended for Grid-based Action Games -- Adaptive-aggressive Traders Don't Dominate -- Improvement of Multi-agent Continuous Cooperative Patrolling with Learning of Activity Length -- Symmetry Breaking in Evacuation Exit Choice: Impacts of Cognitive Bias and Physical Factor on Evacuation Decision -- The Effect of Laziness on Agents for Large Scale Global Optimization -- Conversational Agents for Insurance Companies: From Theory to Practice.
This book contains the revised and extended versions of selected papers from the 11th International Conference on Agents and Artificial Intelligence, ICAART 2019, held in Prague, Czech Republic, in February 2019. Overall, 46 full papers, 66 short papers, and 36 poster papers were carefully reviewed and selected from 202 initial submissions. 17 of the 46 full papers were selected to be included in this volume. These papers deal with topics such as natural language processing, artificial intelligence, and agents.
ISBN: 9783030374945
Standard No.: 10.1007/978-3-030-37494-5doiSubjects--Topical Terms:
559380
Artificial intelligence.
LC Class. No.: Q334-342
Dewey Class. No.: 006.3
Agents and Artificial Intelligence = 11th International Conference, ICAART 2019, Prague, Czech Republic, February 19–21, 2019, Revised Selected Papers /
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The Dynamics of Semantic Change: A Corpus-based Analysis -- Reinforcement Learning Method for ad Networks Ordering in Real-time Bidding -- Neural Hidden Markov Model -- A General Approach to Distributed and Privacy-Preserving Heuristic Computation -- Social Golfer Problem Revisited -- Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights -- Multi-Agent Path Finding with Generalized Conflicts: An Experimental Study -- Dynamics of Narrow-minded Belief and Its Cut-free Sequent Calculus -- Application of PSO-based Constrained Combinatorial Optimization to Segment Assignment in Shield Tunneling -- Boosting Local Search using Machine Learning: A Study on Improving Local Search by Graph Classification in Determining Capacity of Shunting Yards -- Bipartite Split-merge Evolutionary Clustering -- Wide and Deep Reinforcement Learning Extended for Grid-based Action Games -- Adaptive-aggressive Traders Don't Dominate -- Improvement of Multi-agent Continuous Cooperative Patrolling with Learning of Activity Length -- Symmetry Breaking in Evacuation Exit Choice: Impacts of Cognitive Bias and Physical Factor on Evacuation Decision -- The Effect of Laziness on Agents for Large Scale Global Optimization -- Conversational Agents for Insurance Companies: From Theory to Practice.
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