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| The LNAI series reports state-of-the-art results in artificial intelligence re-search, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNAI has grown into the most comprehensive artificial intelligence research forum available. The scope of LNAI spans the whole range of artificial intelligence and intelli- gent information processing including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes. proceedings (published in time for the respective conference)； post-proceedings (consisting of thoroughly revised final full papers)； research monographs (which may be based on PhD work). |
| Agents Integrating Information Gathering Interaction into Transfer of Control Strategies in Adjustable Autonomy Multiagent Systems A Pruning-Based Algorithm for Computing Optimal Coalition Structures in Linear Production Domains A Smart Home Agent for Plan Recognition Using Multiagent Systems to Improve Real-Time Map Generation An Efficient Resource Allocation Approach in Real-Time Stochastic Environment Satisfaction Equilibrium: Achieving Cooperation in Incomplete Information Games How Artificial Intelligent Agents Do Shopping in a Virtual Mall: A 'Believable' and 'Usable' Multiagent-Based Simulation of Customers'Shopping Behavior in a Mall Bioinformaties A New Profile Alignment Method for Clustering Gene Expression Data A Classification-Based Glioma Diffusion Model Using MRI Data Bayesian Learning for Feed-Forward Neural Network with Application to Proteomie Data: The Glycosylation Sites Detection of the Epidermal Growth Factor-Like Proteins Associated with Cancer as a Case Study Constraint Satisfaction and Search Relaxation of Soft Constraints Via a Unified Semiring Intelligent Information Personalization Leveraging Constraint Satisfaction and Association Rule Methods On the Quality and Quantity of Random Decisions in Stochastic Local Search for SAT Simple Support-Based Distributed Search Knowledge Representation and Reasoning Modeling Causal Reinforcement and Undermining with Noisy-AND Trees An Improved LAZY-AR Approach to Bayesian Network Inference Four-Valued Semantics for Default Logic Exploiting Dynamic Independence in a Static Conditioning Graph Probabilistic Melodic Harmonization Learning Bayesian Networks in Semi-deterministic Systems Progressive Defeat Paths in Abstract Argumentation Frameworks Natural Language Reinforcement Learning Supervised and Unsupervised Learning User Modeling Author Index |
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