Papers Selected for the Technical Stream

BEST TECHNICAL PAPER

Effective Product Recommendation using the Real-Time Web
S.Garcia Esparza, M.P.O`Mahony and B.Smyth (University College Dublin, Ireland)

SESSION 1: INTELLIGENT AGENTS (Chair: Dr. Nir Oren, University of Aberdeen)

Agent Argumentation with Opinions and Advice
J.Debenham (UTS Sydney, Australia) and C.Sierra (CSIC, Spain)

Graph-based Norm Explanation
Madalina Croitoru (LIRMM, University Montpellier II, France), Nir Oren (University of Aberdeen), Simon Miles and Michael Luck (King’s College London, UK)

Modelling Social Structures and Hierarchies in Language Evolution
Martin Bachwerk and Carl Vogel (Trinity College Dublin, Ireland)

SESSION 2: KNOWLEDGE DISCOVERY AND DATA MINING (Chair: Prof. Adrian Hopgood, De Montfort University)

On the Usefulness of Weight-Based Constraints in Frequent Subgraph Mining
Frank Eichinger, Matthias Huber and Klemens Böhm (Karlsruhe Institute of Technology, Germany)

Induction of Modular Classification Rules: Using Jmax-pruning
F.Stahl and M.Bramer (University of Portsmouth, UK)

A Kolmogorov complexity view of analogy: From logical modeling to experimentations
M.Bayoud, H.Prade (IRIT-Toulouse, France) and G.Richard (BITE-London, UK)

Evolving Temporal Association Rules with Genetic Algorithms
Stephen G. Matthews, Mario A. Gongora and Adrian A. Hopgood (De Montfort University, UK)

SESSION 3: PLANNING AND SCHEDULING (Chair: Dr. Michael Knowles, University of Sunderland)

PIPSS*: a system based on Temporal Estimates
Yolanda E-Martin, Maria D. R-Moreno and Bonifacio Castaño (Universidad de Alcalá, Spain)

Extending SATPLAN to Multiple Agents
Yannis Dimopoulos (University of Cyprus), Muhammad Adnan Hashmi (University Paris 6) and Pavlos Moraitis (University Paris 5)

SESSION 4: MACHINE LEARNING (Chair: Dr. Torbjorn Dahl, University of Wales)

A New Approach for Partitional Clustering Using Entropy Notation and Hopfield Network
Vahid Abrishami, Maryam Sabzevari and Mahdi Yaghobi (Islamic Azad University, Mashhad Branch)

Hierarchical Traces for Reduced NSM Memory Requirements
T.S.Dahl (University of Wales, UK)

On Reinforcement Memory for Non-markovian Control
Hassab Elgawi Osman (University of Tokyo, Japan)

A fast approximated evolutionary approach to improve SVM accuracy
A.Perolini (Politecnico di Milano, Italy)

SESSION 5: EVOLUTIONARY ALGORITHMS, BAYESIAN NETWORKS AND MODEL-BASED DIAGNOSIS (Chair: Dr. Sid Shakya, BT)

A Particle Swarm Optimization Approach for the Case Retrieval Stage in CBR
Nabila Nouaouria and Mounir Boukadoum (University of Quebec at Montreal)

Dynamic Pricing with Neural Network Demand Models and Evolutionary Algorithms
S.Shakya, M.Kern, G.Owusu and C.M.Chin (BT Innovate and Design, Ipswich, UK)

Discretisation Does Affect the Performance of Bayesian Networks
Saskia Robben, Marina Velikova, Peter J.F. Lucas and Maurice Samulski (Radboud University Nijmegen, The Netherlands)

A Structural approach to Sensor Placement based on Symbolic Compilation of the Model
G.Torta and P.Torasso (Università di Torino, Italy)

SHORT PAPERS

Artificial Immunity Based Cooperative Sustainment Framework for Multi-Agent Systems
R.C.M.Chan and H.Y.K.Lau (The University of Hong Kong)

The Mining and Analysis Continuum of Explaining Uncovered
Martin Atzmueller (University of Kassel) and Thomas Roth-Berghofer (German Research Center for Artificial Intelligence (DFKI) GmbH, University of Kaiserslautern)

Genetic Folding: A New Class of Evolutionary Algorithms
M.A.Mezher and M.F.Abbod (Brunel University, UK)

SOMA: A proposed Framework for Trend Mining in Large UK Diabetic Retinopathy Temporal Databases
Vassiliki Somaraki, Simon Harding, Deborah Broadbent and Frans Coenen (University of Liverpool, UK)