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Computer Science - Artificial Intelligence | Research and Development in Intelligent Systems XXVII - Incorporating Applications and Innovations

Research and Development in Intelligent Systems XXVII

Incorporating Applications and Innovations in Intelligent Systems XVIII Proceedings of AI-2010, The Thirtieth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence

Bramer, Max, Petridis, Miltos, Hopgood, Adrian (Eds.)

2011, XV, 494p. 101 illus..

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  • The papers present new and innovative developments and applications.
  • Essential reading for those who wish to keep up to date with developments in this important field.
  • The papers in this volume are the refereed papers presented at AI-2010, the Thirtieth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence.
The papers in this volume are the refereed papers presented at AI-2010, the Thirtieth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2010 in both the technical and the application streams. They present new and innovative developments and applications, divided into technical stream sections on Intelligent Agents; Knowledge Discovery and Data Mining; Evolutionary Algorithms, Bayesian Networks and Model-Based Diagnosis; Machine Learning; Planning and Scheduling, followed by application stream sections on Applications of Machine Learning I and II; AI for Scheduling and AI in Action. The volume also includes the text of short papers presented as posters at the conference. This is the twenty-seventh volume in the Research and Development in Intelligent Systems series, which also incorporates the eighteenth volume in the Applications and Innovations in Intelligent Systems series. These series are essential reading for those who wish to keep up to date with developments in this important field.

Content Level » Research

Keywords » Applications - Bramer - Development - Intelligent - Research

Related subjects » Artificial Intelligence - Database Management & Information Retrieval

Table of contents 

Research and Development in Intelligent Systems XXVII

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)

Intelligent Agents 

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)

Knowledge Discovery and Data Mining

On the Usefulness of Weight-Based Constraints in Frequent Subgraph Mining Frank Eichinger, Matthias Huber and Klemens Bohm (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 Montford University, UK)

Planning and Scheduling

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

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

Machine Learning

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

Hierarchial 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)

Evolutionary Algorithms, Bayesian Networks And Model-Based Diagnosis

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)

Discretion 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 (Universita 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 Centre 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)

Application and Innovations in Intelligent Systems XVIII

Best Application Paper

Artifical Intelligence Techniques for the Berth Allocation and Container Stacking Problems in Container Terminals Miguel A.Salido, Mario Rodriguez-Molins and Frederico Barber (Technical University of Valencia, Spain)

 Applications of Machine Learning I

Social Network Trend Analysis Using Frequent Pattern Mining and Self-Organizing Maps Puteri N.E. Nohuddin, Frans Coenen, Yogesh Patel (University of Liverpool, UK), Rob Christley, Christian Setzkorn (University of Liverpool and National Centre for Zoonosis Research, UK) and Shane Williams (Deeside Insurance Ltd, UK)

Retinal Image Classification for the Screening of Age-related Macular Degeneration M.H.A.Hijazi, F.Coenen and Y.Zheng (University of Liverpool, UK)

An Ensemble Dynamic Time Warping Classifier with Application to Activity Recognition David McGlynn and Michael Madden (National University of Ireland, Galway)

Applications of Machine Learning II

Self-Adaptive Stepside Applied to Optimal Structural Design L.Nolle and J.A.Bland (Nottingham Trent University, UK)

Health Problems Discovery from Motion-capture Data of Elderly B.Pogorelc and M.Gams (Jozef Stefan Institute & Spica International, Slovenia)

Selecting Features in Origin Analysis Pam Green, Peter C.R.Lane, Austen Rainer and Sven-Bodo Scholz (University of Hertfordshire, UK)

AI for Scheduling

An Extended Deterministic Dendritic Cell Agorithm for Dynamic Job Shop Scheduling X.N.Qiu and H.Y.K.Lau (The University of Hong Kong, P.R.China)

Reinforcement Learning for Scheduling of Maintenance M.J.Knowles, D.Baglee (University of Sunderland, UK) and S.Wermter (University of Hamburg, Germany)

AI in Action

Genetic Evolution and Adaption of Advanced Protocols for Ad Hoc Network Hardware Systems Jennifer Jackson and Mark Leeson (University of Warwick, UK)

The Next Generation of Legal Expert Systems - New Dawn or False Dawn? C.Stevens (De Montfort University, UK), V.Barot (Loughborough University, UK) and J.Carter (De Montfort University, UK)

Incorporating Semantics into Data Driven Workflows for Content Based Analysis M.Arguello and M.J.Fernandez-Prieto (University of Salford, UK)

GhostWriter-2.0: Product Reviews with Case-Based Support Derek Bridge and Paul Healy (University College Cork, Ireland)

Short Papers

Dynamic Programming Algorithm vs. Genetic Algorithm: Which is faster? Dusan Petkovic (University of Applied Sciences, Rosenheim, Germany)

Automatic Detection of Pectoral Muscle with the Maximum Intensity Change Algorithm Zhiyong Zhang, Joan Lu, Yau Jim Yip (University of Huddersfield, UK)

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