Intelligent information processing applies knowledge discovery, intelligent agent, machine learning, and automatic reasoning to applications in biome-dicine, manufacturing, defense, and enterprise computing, etc. Related topics include automatic reasoning, Bayesian networks, cognitive modeling, computer vision, data mining, evolutionary computation, fuzzy and rough sets, image processing, information retrieval, knowledge engineering, knowledge grid, learning theory, logic programming, machine translation, mobile agents, model-based diagnosis, natural language processing, neural computing, ontology, speech understanding and interaction, text analysis and text understanding, and web intelligence. Today, not only large companies, but also medium-sized companies are learning that intelligent information processing is a required element of doing business. As a result, there is a growing demand for insights into challenges, issues, and solutions related to the design, implementation, and management of intelligent information processing systems.
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