08:15 Welcome Desk & Registration (08:15 - 09:00)
09:00 - 09:15 - Room Amphiteatre Jeanneteau Opening Session
09:15 - 10:45 - Room Amphiteatre Jeanneteau Panel
Key IT Innovation Areas: Where will Agents and Artificial Intelligence Contribute Chair: Olivier Paillet
Panelists:Matthias Klusch, Claude Frasson, Pieter Spronck, Marc-Philippe Huget and Heny Lieberman
10:45 - 11:45 - Room Amphiteatre Jeanneteau Keynote Lecture Agents and Semantics for Human Decision-Making Matthias Klusch, German Research Center for Artificial Intelligence (DFKI) GmbH, Germany
11:45 Coffee-Break (11:45 - 12:00)
12:00 - 13:30 - Room Leprince Ringuet Parallel Session 1 - Artificial Intelligence and Agents
  • 52: Probabilistic Cognitive Maps - Semantics of a Cognitive Map when the Values are Assumed to be Probabilities Aymeric Le Dorze, Béatrice Duval, Laurent Garcia, David Genest, Philippe Leray and Stéphane Loiseau
  • 66: Agent-based Simulation of the German and French Wholesale Electricity Markets - Recent Extensions of the PowerACE Model with Exemplary Applications Andreas Bublitz, Philipp Ringler, Massimo Genoese and Wolf Fichtner
  • 143: Tracking Assembly Processes and Providing Assistance in Smart Factories Sebastian Bader and Mario Aehnelt
12:00 - 13:30 - Room Shannon Parallel Session 1 - Agents
  • 31: Importance of Considering User’s Social Skills in Human-agent Interactions - Is Performing Self-adaptors Appropriate for Virtual Agents? Tomoko Koda and Hiroshi Higashino
  • 91: Introducing Mobility into Agent Coordination Patterns Sergio Esparcia and Ichiro Satoh
  • 191: Supporting Distant Human Collaboration under Tangible Environments - A Normative Multiagent Approach Fabien Badeig and Catherine Garbay
  • 216: Improving Proceeding Test Case Prioritization with Learning Software Agents Sebastian Abele and Peter Göhner
13:30 Lunch (13:30 - 14:45)
14:45 - 15:45 - Room Amphiteatre Jeanneteau Keynote Lecture The New Era of High-Functionality Computing Henry Lieberman, MIT Media Laboratory, United States
15:45 Coffee-Break (15:45 - 16:30)
15:45 - 16:45 - Foyer Posters Session 1
  • 19: Gender Classification based on Fingerprints using SVM Romany F. Mansour, Abdulsamad Al-Marghilnai and Meshrif Alruily
  • 23: Adaptation Schemes for Question's Level to be Proposed by Intelligent Tutoring Systems Rina Azoulay, Esther David, Dorit Hutzler and Mireille Avigal
  • 28: Asynchronous Argumentation with Pervasive Personal Communication Tools Yuki Katsura, Hajime Sawamura, Takeshi Hagiwara and Jacques Riche
  • 33: Monitoring of Grinding Burn by AE and Vibration Signals Rodolpho F. Godoy Neto, Marcelo Marchi, Cesar Martins, Paulo R. Aguiar and Eduardo Bianchi
  • 50: Effective Distribution of Large Scale Situated Agent-based Simulations Omar Rihawi, Yann Secq and Philippe Mathieu
  • 109: Surprising Recipe Extraction based on Rarity and Generality of Ingredients Kyosuke Ikejiri, Yuichi Sei, Hiroyuki Nakagawa, Yasuyuki Tahara and Akihiko Ohsuga
  • 117: Enhance Text Recognition by Image Pre-Processing to Facilitate Library Services by Mobile Devices Chuen-Min Huang, Yi-Ling Chuang, Rih-Wei Chang and Ya-Yun Chen
  • 120: Self-Optimizing Algorithms for Mobile Ad Hoc Networks based on Multiple Mobile Agents Yasushi Kambayashi, Tatsuya Shinohara and Munehiro Takimoto
  • 128: Decomposition Tehniques for Solving Frequency Assigment Problems (FAP) - A Top-Down Approach Lamia Sadeg-Belkacem, Zineb Habbas, Fatima Benbouzid-Si Tayeb and Daniel Singer
  • 160: Towards a Metric for Confidence in Identity - An Agent based Approach Brian A. Soeder and K. Suzanne Barber
  • 172: Quantum Probability in Operant Conditioning - Behavioral Uncertainty in Reinforcement Learning Eduardo Alonso and Esther Mondragon
  • 193: Identification of Flaming and Its Applications in CGM - Case Studies toward Ultimate Prevention Yuki Iwasaki, Ryohei Orihara, Yuichi Sei, Hiroyuki Nakagawa, Yasuyuki Tahara and Akihiko Ohsuga
  • 228: Quantitative Study on a Multiscale Approach for OCT Retinal Layer Segmentation A. González, C. Ortigueira, M. Ortega and M. G. Penedo
16:45 - 18:45 - Room Leprince Ringuet Parallel Session 2 - Artificial Intelligence
  • 21: Solving Single Vehicle Pickup and Delivery Problems with Time Windows and Capacity Constraints using Nested Monte-Carlo Search Stefan Edelkamp and Max Gath
  • 227: Agent-based Simulations of Patterns for Self-adaptive Systems Mariachiara Puviani, Giacomo Cabri and Franco Zambonelli
  • 29: Experiments Assessing Learning of Agent Behavior using Genetic Programming with Multiple Trees Takashi Ito, Kenichi Takahashi and Michimasa Inaba
  • 178: Designing Cloud Data Warehouses using Multiobjective Evolutionary Algorithms Tansel Dökeroğlu, S. Alper Sert, M. Serkan Çinar and A. Coşar
  • 237: Energy-efficient Multicast Routing by using Genetic Local Search Valery Katerinchuk, Andreas Albrecht and Kathleen Steinhöfel
16:45 - 18:45 - Room Shannon Parallel Session 2a - Artificial Intelligence
  • 18: Online Knowledge Gradient Exploration in an Unknown Environment Saba Q. Yahyaa and Bernard Manderick
  • 78: Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms Saba Q. Yahyaa, Madalina M. Drugan and Bernard Manderick
  • 86: Self-adaptive Topology Neural Network for Online Incremental Learning Beatriz Pérez-Sánchez, Oscar Fontenla-Romero and Bertha Guijarro-Berdiñas
  • 190: Reducing Sample Complexity in Reinforcement Learning by Transferring Transition and Reward Probabilities Kouta Oguni, Kazuyuki Narisawa and Ayumi Shinohara
  • 230: Combining Simulated Annealing and Monte Carlo Tree Search for Expression Simplification Ben Ruijl, Jos Vermaseren, Aske Plaat and Jaap van den Herik
16:45 - 18:45 - Room Landau Parallel Session 2b - Artificial Intelligence
  • 148: Motivational Strategies to Support Engagement of Learners in Serious Games Ramla Ghali, Maher Chaouachi, Lotfi Derbali and Claude Frasson
  • 171: Computational Models of Classical Conditioning - A Qualitative Evaluation and Comparison Eduardo Alonso, Pavandeep Sahota and Esther Mondragón
  • 176: Fundamental Artificial Intelligence - Machine Performance in Practical Turing Tests Huma Shah, Kevin Warwick, Ian M. Bland and Chris D. Chapman
  • 177: Neural Multi-agent-based Approach for Preventing Blackouts in Power Systems Michael Negnevitsky, Nikita Tomin, Daniil Panasetsky, Ulf Haeger, Nikolay Voropai, Christian Rehtanz and Victor Kurbatsky
19:30 Welcome Drink (19:30 - 20:00)