Artificial Intelligence XXXV: 38th SGAI International Conference on Artificial Intelligence, AI 2018, Cambridge, UK, December 11–13, 2018, Proceedings

Description

This book constitutes the proceedings of the 38th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2018, held in Cambridge, UK, in December 2018. The 25 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 46 submissions. There are technical and application papers which were organized in topical sections named: Neural Networks; Planning and Scheduling; Machine Learning; Industrial Applications of Artificial Intelligence; Planning and Scheduling in Action; Machine Learning in Action; Applications of Machine Learning; and Applications of Agent Systems and Genetic Algorithms. Front Matter ....Pages I-XIV Front Matter ....Pages 1-2 Secure Third Party Data Clustering Using \(\varPhi \) Data: Multi-User Order Preserving Encryption and Super Secure Chain Distance Matrices (Best Technical Paper) (Nawal Almutairi, Frans Coenen, Keith Dures)....Pages 3-17 Front Matter ....Pages 19-19 Implementing Rules with Artificial Neurons (Christian Huyck, Dainius Kreivenas)....Pages 21-33 Informed Pair Selection for Self-paced Metric Learning in Siamese Neural Networks (Kyle Martin, Nirmalie Wiratunga, Stewart Massie, Jérémie Clos)....Pages 34-49 A Brain-Inspired Cognitive System that Mimics the Dynamics of Human Thought (Yuehu Ji, David Gamez, Christian Huyck)....Pages 50-62 Enhancing Human Decision Making for Workforce Optimisation Using a Stacked Auto Encoder Based Hybrid Genetic Algorithm (R. Chimatapu, H. Hagras, A. J. Starkey, G. Owusu)....Pages 63-75 Front Matter ....Pages 77-77 A Versatile Executive Based on T-REX for Any Robotic Domain (Fernando Ropero, Pablo Muñoz, María D. R-Moreno)....Pages 79-91 Tuning the Discount Factor in Order to Reach Average Optimality on Deterministic MDPs (Filipo Studzinski Perotto, Laurent Vercouter)....Pages 92-105 A Strategical Path Planner for UGV-UAV Cooperation in Mars Terrains (Fernando Ropero, Pablo Muñoz, María D. R-Moreno)....Pages 106-118 Front Matter ....Pages 119-119 GEP-Based Ensemble Classifier with Drift-Detection (Joanna Jȩdrzejowicz, Piotr Jȩdrzejowicz)....Pages 121-131 Dynamic Process Workflow Routing Using Deep Learning (Kareem Amin, Stelios Kapetanakis, Klaus-Dieter Althoff, Andreas Dengel, Miltos Petridis)....Pages 132-142 The Dreaming Variational Autoencoder for Reinforcement Learning Environments (Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo)....Pages 143-155 Front Matter ....Pages 157-157 Abnormality Detection in the Cloud Using Correlated Performance Metrics (Sally McClean, Naveed Khan, Adam Currie, Kashaf Khan)....Pages 159-164 Directed Recursion Search: A Directed DFS for Online Pathfinding in Random Grid-Based Environments (Paul M. Roberts)....Pages 165-170 Modelling Trust Between Users and AI (Simon Thompson)....Pages 171-176 Multi-criteria Decision Making with Existential Rules Using Repair Techniques (Nikos Karanikolas, Madalina Croitoru, Pierre Bisquert, Christos Kaklamanis, Rallou Thomopoulos, Bruno Yun)....Pages 177-183 GramError: A Quality Metric for Machine Generated Songs (Craig Davies, Nirmalie Wiratunga, Kyle Martin)....Pages 184-190 Computational Complexity Analysis of Decision Tree Algorithms (Habiba Muhammad Sani, Ci Lei, Daniel Neagu)....Pages 191-197 Forecasting Student’s Preference in E-learning Systems (Paulo Novais, Filipe Gonçalves, Dalila Durães)....Pages 198-203 Human Motion Recognition Using 3D-Skeleton-Data and Neural Networks (Jan P. Vox, Frank Wallhoff)....Pages 204-209 Autonomous Swarm Agents Using Case-Based Reasoning (Daniel O’Connor, Stelios Kapetanakis, Georgios Samakovitis, Michael Floyd, Santiago Ontañon, Miltos Petridis)....Pages 210-216 Front Matter ....Pages 217-218 Beat the Bookmaker – Winning Football Bets with Machine Learning (Best Application Paper) (Johannes Stübinger, Julian Knoll)....Pages 219-233 Front Matter ....Pages 235-235 Rule-Mining and Clustering in Business Process Analysis (Paul N. Taylor, Stephanie Kiss)....Pages 237-249 Machine Learning in Control Systems: An Overview of the State of the Art (Signe Moe, Anne Marthine Rustad, Kristian G. Hanssen)....Pages 250-265 Predicting Fluid Work Demand in Service Organizations Using AI Techniques (Sara AlShizawi, Siddhartha Shakya, Andrzej Stefan Sluzek, Russell Ainslie, Gilbert Owusu)....Pages 266-276 Workforce Rostering via Metaheuristics (Mary Dimitropoulaki, Mathias Kern, Gilbert Owusu, Alistair McCormick)....Pages 277-290 Front Matter ....Pages 291-291 Incorporating Risk in Field Services Operational Planning Process (Chenlu Ji, Rupal Mandania, Jiyin Liu, Anne Liret, Mathias Kern)....Pages 293-307 Front Matter ....Pages 309-309 Risk Information Recommendation for Engineering Workers (Kyle Martin, Anne Liret, Nirmalie Wiratunga, Gilbert Owusu, Mathias Kern)....Pages 311-325 Generalised Decision Level Ensemble Method for Classifying Multi-media Data (Saleh Alyahyan, Wenjia Wang)....Pages 326-339 Front Matter ....Pages 341-341 Spotting Earnings Manipulation: Using Machine Learning for Financial Fraud Detection (Kumar Rahul, Nandini Seth, U. Dinesh Kumar)....Pages 343-356 Context Extraction for Aspect-Based Sentiment Analytics: Combining Syntactic, Lexical and Sentiment Knowledge (Anil Bandhakavi, Nirmalie Wiratunga, Stewart Massie, Rushi Luhar)....Pages 357-371 Confidence in Random Forest for Performance Optimization (Kennedy Senagi, Nicolas Jouandeau)....Pages 372-386 Front Matter ....Pages 387-387 Designing a Website Using a Genetic Algorithm (Lukas Günthermann, John Kingston)....Pages 389-402 Regulated Information Sharing and Pattern Recognition for Smart Cities (John K. C. Kingston)....Pages 403-415 A Middleware to Link Lego Mindstorms Robots with 4th Generation Language Software NetLogo (Syed K. Aslam, William J. Faithful, William J. Teahan)....Pages 416-430 Front Matter ....Pages 431-431 A Holistic Metric Approach to Solving the Dynamic Location-Allocation Problem (Reginald Ankrah, Benjamin Lacroix, John McCall, Andrew Hardwick, Anthony Conway)....Pages 433-439 Identifying Variables to Define Innovator Group in the Healthy Food Industry: A Fuzzy Approach (Pooja Mohanty, Nuria Agell Jane, Monica Casabayo Bonas)....Pages 440-445 Business Process Workflow Mining Using Machine Learning Techniques for the Rail Transport Industry (Eleftherios Bandis, Miltos Petridis, Stelios Kapetanakis)....Pages 446-451 Back Matter ....Pages 453-454