Titlebook: Agents and Artificial Intelligence; 11th International C Jaap van den Herik,Ana Paula Rocha,Luc Steels Conference proceedings 2019 Springer

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The Dynamics of Semantic Change: A Corpus-Based Analysis,quantitative property associated with linguistic changes, applies in the case of lexical semantic change. We use an automatic procedure to empirically extract words that have known the biggest semantic shifts in the past two centuries from the Google Books N-gram corpus. Then, we investigate the sig

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Reinforcement Learning Method for Ad Networks Ordering in Real-Time Bidding,parse, a prediction model is used to solve this sparsity. We analyze a real-time bidding dataset, and then show that the proposed RL method on this dataset leads to higher revenues. In addition, a sensitivity analysis is performed on the parameters of the method.

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A General Approach to Distributed and Privacy-Preserving Heuristic Computation,l planning. We present the general approach, a particular implementation, and an experimental evaluation showing that the presented approach is competitive with the state of the art while having the additional benefits of generality and privacy preservation.

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Social Golfer Problem Revisited,n the solutions for eight instances with maximal number of weeks, in which six of them were open instances for constraint satisfaction approach, and two of them are computed for the first time, and super-linear speedups are observed for all the instances solved in parallel. Besides, we survey the ex

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Boosting Local Search Using Machine Learning: A Study on Improving Local Search by Graph Classificathe capacity of a given shunting yard..In the second approach, we investigate whether we can use machine learning to help local search decide which promising areas to explore during search. Therefore, DGCNN is applied to predict the order of search operators in which the local search heuristic shoul

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,Adaptive-Aggressive Traders Don’t Dominate,19 ICAART paper by Cliff claimed that AA’s failings were revealed by testing it in more realistic experiments, with conditions closer to those found in real financial markets, but here we demonstrate that even in the simple experiment conditions that were used in the original AA papers, exhaustive t

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Improvement of Multi-agent Continuous Cooperative Patrolling with Learning of Activity Length,asic idea of our method is that if agents have long-life batteries, they can appropriately shorten the ACL, and thus can visit important locations with a short interval of time by recharging frequently. However, appropriate ACL must depend on many elements such as environmental size, number of agent

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Symmetry Breaking in Evacuation Exit Choice: Impacts of Cognitive Bias and Physical Factor on Evacuther at one exit at some frequency, despite individual agents choosing the exit randomly. Moreover, the social force model is employed in conjunction with the evacuation decision model to take physical factors such as clogging and collisions into account. The effects of physical factors on both evac

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Conversational Agents for Insurance Companies: From Theory to Practice,escribe the results of both prototypes in detail. We evaluate both chatbots defining criteria for both settings in detail and compare the results and draw conclusions for the maturity of chatbot technology for practical use, describing the opportunities and challenges companies, especially small and