{ "item_title" : "Research and Development in Intelligent Systems XXVII", "item_author" : [" Max Bramer", "Miltos Petridis", "Adrian Hopgood "], "item_description" : "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 Ber", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/85/729/129/0857291297_b.jpg", "price_data" : { "retail_price" : "219.99", "online_price" : "219.99", "our_price" : "219.99", "club_price" : "219.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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