Kittichai Lavangnananda - Böcker

This PALO volume constitutes the Proceedingsof the 19th Asia Pacific Symposium on Intelligent and EvolutionarySystems (IES 2015), held in Bangkok, Thailand, November 22-25, 2015. The IES seriesof conference is an annual event that was initiated back in 1997 in Canberra,Australia. IES aims to bring together researchers from countries of the AsianPacific Rim, in the fields of intelligent systems and evolutionary computation,to exchange ideas, present recent results and discuss possible collaborations.Researchers beyond Asian Pacific Rim countries are also welcome and encouragedto participate. The theme for IES 2015 is “Transforming Big Data intoKnowledge and Technological Breakthroughs”. The host organization for IES 2015 is theSchool of Information Technology (SIT), King Mongkut’s University of TechnologyThonburi (KMUTT), and it is technically sponsored by the International NeuralNetwork Society (INNS). IES 2015 is collocated with three other conferences;namely, The 6th International Conference on Computational Systems-Biology andBioinformatics 2015 (CSBio 2015), The 7th International Conference on Advancesin Information Technology 2015 (IAIT 2015) and The 10th InternationalConference on e-Business 2015 (iNCEB 2015), as a major part of series of eventsto celebrate the SIT 20th anniversary and the KMUTT 55th anniversary.

This PALO volume constitutes the Proceedingsof the 19th Asia Pacific Symposium on Intelligent and EvolutionarySystems (IES 2015), held in Bangkok, Thailand, November 22-25, 2015.

It was our intention to organize IAIT 2010 as the place where researchers and ind- trial practitioners could share their work and achievements in information technology, both theoretical and in application. This is the fourth time we have organized IAIT to serve as a venue to foster collaboration among industry and academia from different parts of the world. A lot has been achieved since the launch of the first IAIT in 2005; however, many challenges remain to be addressed in the years to come. IAIT 2010 drew attendance from leading professionals in both industry and academes, as in IAIT 2009. In addition to the relevant program offered by IAIT 2010, the conference p- vided an excellent environment to meet peers in the IT profession, build relationships, and exchange lessons learned. During the conference, participants presented and d- cussed the latest topics in information technology, ranging from technical knowledge and experimentation to future strategic directions. As the Internet continues to reach out even further, almost everything in our daily life is accessible via IP addresses, our societies need to recognize that we need new knowledge to make this advancement become a benefit to all life in this world. It is almost impossible to gain this new knowledge without contributions from our c- leagues, working in various aspects of information technology. Some times, new knowledge found in one area can help simplify difficult task in another. Together we can make our world better by creating applications from information technology.

This volume constitutes the refereed proceedings of the 5th Multi-disciplinary International Workshop On Artificial Intelligence, MIWAI 2011, held in Hyderabad, India, in December 2011. The 38 revised full papers presented were carefully reviewed and selected from 71 submissions. The papers cover the multifarious nature of the Artificial Intelligence research domain, ranging from theoretical to real world applications and address topics such as agent-based simulation, agent-oriented software engineering, agents and Web services, agent-based electronic commerce, auctions and markets, AI in video games, computer vision, constraint satisfaction, data mining, decision theory, distributed AI, e-commerce and AI, game theory, internet/www intelligence, industrial applications of AI, intelligent tutoring, knowledge representation and reasoning, machine learning, multi-agent planning and learning, multi-agent systems and their applications, multi-agent systems and evolving intelligence, natural language processing, neural networks, planning and scheduling, robotics, uncertainty in AI, and Web services.