Intelligent Systems seeks to undertake research in the theory, design, implementation, and application of intelligent computing. This includes establishing new techniques that can intelligently transform massive data into useful information and knowledge; surveying techniques in genetic algorithms, swarm optimization theory, ant colony optimization; demonstrating their uses and capabilities; studying agent semantics and ontology; interacting within multi-agent systems, mobile computation, social networking and knowledge sharing; research in text mining, semantics, and natural language processing which focuses on intelligent content analysis by developing efficient algorithms to process texts and to make their information understandable across computer application; developing and applying state-of-the-art mathematical and computer science techniques to problems now arising in the life sciences, particularly those now appearing in the post-genomic era. Intelligent systems also pursue research on finding methods for implementation of intelligent solution for embedded systems that can be utilized in robotics and smart devices. Research in intelligent systems covers the following sub areas: data mining, intelligent agents, evolutionary computation and optimization, computational linguistics, bioinformatics, semantics, text mining, natural language processing, and embedded systems.