BNAIC 2010


Monday 25 October
8:30 - 9:30 Registration (Uni.Lu)
9:30 - 10:00 Opening (Salle Paul Feidert, Uni.Lu)
10:00 - 11:00 Invited speaker: Jerome Lang (Salle Paul Feidert, Uni.Lu)
11:00 - 11:30 Coffee break (CRPHT)
Room Metz Room Nancy Room Virton
11:30 - 13:05 RL (4 papers) AI in Log. (4 papers) Arg. (4 papers)
13:05 - 14:25 Lunch (CRPHT)
14:25 - 16:00 SW/IS (4 papers) B&A in Log. (3 papers) GT & SR (4 papers)
16:00 - 16:25 Coffee break (CRPHT)
16:25 - 18:00 NLP (4 papers) MAS (4 papers) AI4G&E (4 papers)

Tuesday 26 October
8:30 - 9:30 Registration (Uni.Lu)
9:00 - 10:00 Invited Speaker Michael Mateas (Salle Paul Feidert, Uni.Lu)
10:00 - 10:30 Coffee break (CRPHT)
Room Metz Room Nancy Room Virton
10:30 - 11:40 ML (3 papers) Demos (6 papers) AI in M. (3 papers)
11:40 - 13:00 Poster Session (CRPHT)
13:00 - 14:30 Lunch (CRPHT)
14:30 - 15:40 EA (3 papers) PD (3 papers) BN (3 papers)
15:40 - 16:15 Coffee break (Uni.Lu)
16:15 - 16:45 Award session (Uni.Lu)
16:45 - 17:00 Closing (Uni.Lu)


Reinforcement learning (RL)

Learning agents for the multi-mode project scheduling problem
   Tony Wauters, Katja Verbeeck, Greet Vanden Berghe and Patrick De Causmaecker
A Comparative Study of Multi-agent Reinforcement Learning Dynamics
   Daan Bloembergen, Michael Kaisers and Karl Tuyls
Lenient Frequency Adjusted Q-learning
   Daan Bloembergen, Michael Kaisers and Karl Tuyls
The Effects of Large Disturbances on On-Line Reinforcement Learning for a Walking Robot
   Erik Schuitema, Wouter Caarls, Martijn Wisse, Pieter Jonker and Robert Babuska

AI in logistics (AI in Log.)

Efficient Methods for Multi-agent Multi-issue Negotiation: Allocating Resources
   Mengxiao Wu, Mathijs de Weerdt and Han La Poutre
Applying Monte Carlo Techniques to the Capacitated Vehicle Routing Problem
   Frank Takes and Walter Kosters
Context-Aware Route Planning
   Adriaan ter Mors, Cees Witteveen, Jonne Zutt and Fernando Kuipers
Cost optimal robust-schedules; Policy search in continuous action space using stochastic feedback
    Nico Roos

Argumentation (Arg.)

Coalition Formation via Negotiation in Multiagent Systems with Voluntary Attacks
    Guido Boella, Dov Gabbay, Alan Perotti and Serena Villata
Arguing About Preferences And Decisions
    Tom van der Weide, Frank Dignum, John-Jules Meyer, Henry Prakken and Gerard Vreeswijk
On the Justification Status of Arguments
    Martin Caminada and Yining Wu
On the Existence of Semi-Stable Extensions
    Martin Caminada and Bart Verheij

Semantic Web/Intelligent Systems (SW/IS)

Semantic Web-Based Knowledge Acquisition Using Key Events from News
    Frederik Hogenboom, Flavius Frasincar and Uzay Kaymak
Approximation and self-organisation on the Web of Data
    Christophe Gueret, Kathrin Dentler and Stefan Schlobach
Simulating Peer Support for Victims of Cyberbullying
    Janneke van der Zwaan, Virginia Dignum and Catholijn Jonker
Optimal Temporal Decoupling in Multiagent Systems
    Léon Planken, Mathijs de Weerdt and Cees Witteveen

Business and Industry Applications - (B&I A)

Enhanced Hospital Resource Management using Anticipatory Policies in Online Dynamic Multi-objective Optimization
    Anke Hutzschenreuter, Peter Bosman and Han La Poutre
A Bayesian Petrophysical Decision Support System for Estimation of Reservoir Compositions
    Willem Burgers, Wim Wiegerinck, Bert Kappen and Mirano Spalburg
An intelligent decision support system for decision making under uncertainty in distributed reasoning frameworks
    Tina Comes, Claudine Conrado, Michael Hiete, Michiel Kamermans, Gregor Pavlin, Niek Wijngaards and Frank Schultmann

Game theory and Strategic Reasoning (GT & SR)

The price of anarchy in series-parallel graphs
    Pieter Senster, Ot ten Thije and Tim van Heugten
Enumeration and Exact Design of Weighted Voting Games
    Bart de Keijzer, Tomas Klos and Yingqian Zhang
Coalition Description Logic with Individuals
    Inanc Seylan and Wojtek Jamroga
Paranoid Proof-Number Search
    Jahn-Takeshi Saito and Mark Winands

Natural language processing (NLP)

Using Suffixarrays as Language Models: Scaling the n-gram
    Herman Stehouwer and Menno Van Zaanen
Answering Complex Questions in Natural Language using Probabilistic Logic Programming and the Web
    José Oramas M. and Luc De Raedt
Language Modeling With Dynamic Bayesian Networks Using Conversation Types and Part of Speech Information
    Yangyang Shi, Pascal Wiggers and Catholijn M. Jonker
Paraphrase Generation as Monolingual Translation: Data and Evaluation
    Sander Wubben, Antal van den Bosch and Emiel Krahmer

Multi-agent systems (MAS)

Deceit and Trust in Intercultural Trade
    Gert Jan Hofstede, Catholijn M. Jonker and Tim Verwaart
Governance of Services: A Natural Function for Agents
    Frances Brazier, Frank Dignum, Virginia Dignum, Michael Huhns, Tim Lessner, Julian Padget, Thomas Quillinan and Munindar Singh
Human-Agent Team Formation: An Empirical Study
    Arlette van Wissen, Kobi Gal, Bart Kamphorst and Virginia Dignum
Formalizing Organizational Constraints: A Semantic Approach
    M. Birna van Riemsdijk, Koen Hindriks, Catholijn Jonker and Maarten Sierhuis

AI for Games and Entertainment (AI4G&E)

Unreal GOAL Bots
    Koen Hindriks, M. Birna van Riemsdijk, Tristan Behrens, Rien Korstanje, Nick Kraayenbrink, Wouter Pasman and Lennard de Rijk
APOPCALEAPS: Automatic Music Generation with CHRiSM
    Jon Sneyers and Danny De Schreye
Enhancements for Multi-Player Monte-Carlo Tree Search
    J. (Pim) A. M. Nijssen and Mark H. M. Winands
Tennis Patterns: Player, Match and Beyond
    Jonathan Vis, Walter Kosters and Antonio Terroba

Machine learning (ML)

Split Variational Inference
    Guillaume Bouchard and Onno Zoeter
Risk Sensitive Path Integral Control
    Bart van den Broek, Wim Wiegerinck and Bert Kappen
Fast Bayesian People Detection
    Gwenn Englebienne and Ben Krose

AI in medicine (AI in M.)

Probability Assessments from Multiple Experts: Qualitative Information is More Robust
    Linda C. van der Gaag, Silja Renooij, Hermi J.M. Schijf, Armin R. Elbers and Willie L. Loeffen
Knowledge discovery in panoramic X-rays for postmortem identification
    Tom van de Wiele, Vinicius Tragante Do O, Hendrik Blockeel and Ricardo Henrique Alves da Silva
Validation of Merging Techniques for Cancer Microarray Data Sets
    Jonatan Taminau, Stijn Meganck and Ann Nowé

Evolutionary algorithms (EA)

The Anticipated Mean Shift and Cluster Registration in Mixture-based EDAs for Multi-Objective Optimization
    Peter Bosman
An Intermediate Form of Behavioral Control in 'Reactive' Robots
    Sjoerd Lagarde, Ida Sprinkhuizen-Kuyper, Guido de Croon and Pim Haselager
Identifying and exploiting commonalities for the job-shop scheduling problem
    Marnix Kammer, Marjan Van den Akker and Han Hoogeveen

Pattern Discovery (PD)

Sparse Orthonormalized Partial Least Squares
    Marcel van Gerven and Tom Heskes
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
    Perry Groot, Adriana Birlutiut and Tom Heskes
Attempting to increase the Performance of Petri net based Situation Recognition
    Anders Dahlbom, Lars Niklasson and Göran Falkman

Bayesian networks (BN)

Two new notions of abduction in Bayesian networks
    Johan Kwisthout
On Lurking Dependencies and Naive Bayesian Classifiers
    Barbara F.I. Pieters and Linda C. van der Gaag
Attaining Monotonicity for Bayesian Networks
    Merel T. Rietbergen and Linda C. van der Gaag


A Multi-Objective Evolutionary Algorithm to Optimize the Dynamic Composition of Semantic Web Services
    Brahim Batouche, Yannick Naudet, Isabelle Jars, Thibaud Latour and Frederic Guinand
Integrating Logical and Sub-symbolic Contexts of Reasoning
    Tarek Richard Besold and Stefan Mandl
Revisiting natural actor-critics with value function approximation
    Matthieu Geist and Olivier Pietquin
Extending memory-based machine translation to phrases
    Maarten van Gompel, Antal van den Bosch and Peter Berck
A Framework for Developing Agent-Based Distributed Applications
    Michel Oey, Sander van Splunter, Elth Ogston, Martijn Warnier and Frances Brazier
Designing Robot Metamorphosis
    Anne Cornelis Rossum, van and H. Jaap Herik, van den
The contribution of machine learning to predicting cancer outcome
   Ruud van Stiphout, Eric Postma, Vincenzo Valentini and Philippe Lambin
A likelihood-ratio test for identifying probabilistic deterministic real-time automata from positive data
    Sicco Verwer, Mathijs de Weerdt and Cees Witteveen
Keeping the Trainee on Track
    Joost Westra, Frank Dignum and Virginia Dignum
Ranking Revision with Conditional Knowledge Bases
    Emil Weydert


Disaster Victim Identification System
    Willem Burgers, Wim Wiegerinck and Bert Kappen
Creating artificial vessel trajectories with Presto
    Jeroen Janssens, Hans Hiemstra and Eric Postma
Road Network Hierarchy Generation by Distributed Agents for a Routing Application
    Joris Maervoet, Lode Blomme, Katja Verbeeck and Greet Vanden Berghe - A testbed for intelligent soccer strategies
    Tim Vermeulen and Katja Verbeeck
ConfigNow: a knowledge based approach to configuration software
    Hanne Vlaeminck, Kumar Abhinav, Joost Vennekens, Marc Denecker and Johan Wittocx
The IDP System
    Johan Wittocx, Broes De Cat and Marc Denecker