The papers in this volume are the refereed technical papers presented at AI-2008, the Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2008.

Best Technical Paper: On the Classification Performance of TAN and General Bayesian Networks.- Code Tagging and Similarity-based Retrieval with myCBR.- Sparse Representations for Pattern Classification using Learned Dictionaries.- Qualitative Hidden Markov Models for Classifying Gene Expression Data.- Description Identification and the Consistency Problem.- Analysing the Effect of Demand Uncertainty in Dynamic Pricing with EAs.- Restart-Based Genetic Algorithm for the Quadratic Assignment Problem.- Constraint Satisfaction and Fixes: Revisiting Sisyphus VT.- SASS2: On a Control Parameter Free Optimisation Algorithm.- PISA - Pooling Information from Several Agents: Multiplayer Argumentation from Experience.- Agent-Based Negotiation in Uncertain Environments.- The Evolution of Negotiation and Bargaining Impasse.- Exploring Design Space For An Integrated Intelligent System.- A User-Extensible and Adaptable Parser Architecture.- The Reactive-Causal Architecture: Introducing an Emotion Model along with Theories of Needs.- Automation of the Solution of Kakuro Puzzles.- The Bayesian Learning Automaton - Empirical Evaluation with Two-Armed Bernoulli Bandit Problems.- Discovering Implicit Intention-Level Knowledge from Natural-Language Texts.- EMADS: An Extendible Multi-Agent Data Miner.- Designing a Feedback Component of Intelligent Tutoring System for Foreign Language.- An Algorithm for Anticipating Future Decision Trees from Concept-Drifting Data.- Polarity Assignment to Causal Information Extracted from Financial Articles Concerning Business Performance of Companies.- ReduxExp: An Open-Source Justification-Based Explanation Support Server.- Immunity-Based Hybrid Evolutionary Algorithm for Multi-Objective Optimisation.- Parallel Induction of Modular Classification Rules.- Transform Ranking: a New Method of Fitness Scaling in Genetic Algorithms.- A Hybrid Architecture for Function Approximation.- Applying Planning Algorithms to Argue in Cooperative Work.- UniversumInference and Corpus Homogeneity