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                                    H. Jaap van den Herik
                                 
                                Faculty of Computer Science and Faculty of Law, Leiden University
                                 
                                Netherlands
                                 
                                
                                
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                            Brief Bio
                        
                        
                        Jaap van den Herik is one of the Founders of the Netherlands Foundation of Artificial Intelligence (1981), nowadays called *BNVKI – Benelux Association for Artificial Intelligence (Honorary member). See https://ii.tudelft.nl/bnvki/?p=1790 
He is a visionary professor who  predicted in 1991 that machines would judge court cases and replace judges in the future (1991).
He started as  a frontrunner in computer-chess research (1983). He was able to attract many talented researchers and  has been the successful supervisor of 93 Ph.D. researchers.
As Professor of Law and Computer Science at Leiden Univer
                        sity, Leiden, the Netherlands, he  is now finalising by the supervision of four Ph.D students.
For ICAART Jaap has been active in all possible roles (from participant to keynote speaker and session chair, and later to program chair and conference chair).
His current research interests are: Legal Technologies, and Intelligent Systems for Law Applications, e-discovery, Computer Games, Serious Games, Big Data, Machine Learning, Adaptive Agents, Neural Networks, Information Retrieval, and e-Humanities.
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                                    Ana Paula Rocha
                                 
                                LIACC / FEUP, University of Porto
                                 
                                Portugal
                                 
                                http://www.fe.up.pt/~arocha
                                
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                            Brief Bio
                        
                        
                        Ana Paula Rocha is an Auxiliary Professor at the Department of Computing Engineering, University of Porto. 
She participated in European as well as national funded projects involving advanced features of intelligent agents for applications. 
She is member of DAIAS (Distributed Artificial Intelligence and Agent-based Simulation) group at LIACC (Laboratory of Artificial Intelligence and Computer Science) since 1990. She is also member of APPIA (Portuguese Association for Artificial Intelligence).
Her main current research topics of interest include Agent-based frameworks for B2B electronic commerce, 
                        Multi-Agent Learning, Negotiation, Argumentation and Trust. She participated in the organization of workshops related to Artificial Intelligence and Multi Agent Systems, as well as in the Program Committee of several conferences in these areas.
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                                    Mattias Wahde
                                 
                                Department of Applied Mechanics, Chalmers University of Technology
                                 
                                Sweden
                                 
                                
                                
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                            Brief Bio
                        
                        
                        Mattias Wahde is professor of Applied Artificial Intelligence at Chalmers University of Technology in Göteborg, Sweden. His research interests include natural language processing and conversational agents, stochastic optimization methods, robotics, and automated driving. The unifying theme of his research is the development and use of transparent, accountable, and safe methods (glass-box models) in artificial intelligence. He is the author or co-author of numerous papers in these fields, as well as
a course book on stochastic optimization. In addition to research and PhD student supervision, he is heavily in
                        volved in teaching, as lecturer and examiner in several courses with a total of around 300 students per year. He is currently leading a theme on Interpretable AI in the framework of Chalmers' AI Research Centre (CHAIR).
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