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MIWAI 2012 : The 6th Multi-Disciplinary International Workshop on Artificial Intelligence 2012


Conference Series : Multi-disciplinary Trends in Artificial Intelligence
When Dec 26, 2012 - Dec 28, 2012
Where Ho Chi Minh City, Vietnam
Submission Deadline Aug 6, 2012
Notification Due Sep 23, 2012
Final Version Due Oct 7, 2012
Categories    artificial intelligence   GIS   climate change   data mining

Call For Papers

Theme: “AI for Climate Change”

“…it is the major, overriding environmental issue of our time, and the single greatest challenge facing environmental regulators. It is a growing crisis with economic, health and safety, food production, security, and other dimensions.”

Ban Ki-Moon
UN Secretary General

In the last several years, we have witnessed all kinds of changes in the world’s climate. These changes have affected our lives profoundly. The catastrophic flood in Thailand in 2011, for example, was one of the worst in that country’s and the world’s history. There were 12.8 million affected people, hundreds of thousands lived their lives under water for more than a quarter of the year, while many others were homeless. The flood also struck Thailand’s economy heavily. Most of the industrial estates in central Thailand were under water, and, as a consequence, hundreds of thousands of jobs were floated away. The World Bank estimated that the economic loss was 1.44 trillion Baht—more than half of the country’s annual budget. Of course, Thailand is not the only victim of this kind of catastrophe. It is just a recent proof of how much climate change can damage this world - and particularly developing countries - as a whole.

Dealing with climate change is an extremely challenging task, involving several relevant issues. Scientists in related areas—environmental science and geo-informatics, for example—have been working hard on this problem for years. The highly complex character of climatic phenomena requires extreme computational power to model, understand and, hopefully, prevent its catastrophic consequences. This has laid down an immense challenge to the AI community: how AI, as an underpinning technology, can promptly respond to help leverage the full computational power to deal with the problem.

Thus, MIWAI-2012 invites papers on advances in AI techniques and related fields, e.g., GIS, neural networks, decision trees, genetic algorithms, fuzzy logic, etc., for climate change. Of course, papers in other areas of AI are also welcome as usual. We do hope that the works presented in the workshop will not only provide observation and recommendations, but also help the community to bestow better problem solvers in the area at the same time.

Areas of Interest

Artificial intelligence is a broad area of research. We encourage researchers to submit papers in the following areas but not limited to:

-Agent-based simulation
-Agent-oriented software engineering
-Agents and Web services
-Agent-based electronic commerce, auctions and markets
-AI-GIS for climate change
-AI-GIS in urban and industrial development planning and management
-AI-GIS and sustainable
-AI in video games
-Computer vision
-Constraint satisfaction
-Data mining
-Decision theory
-Decision trees
-Distributed AI
-E-Commerce and AI
-Fuzzy logic
-Game theory
-Genetic Algorithms
-Internet/WWW intelligence
-Industrial applications of AI
-Intelligent tutoring
-Knowledge representation and reasoning
-Machine learning
-Multiagent planning and learning
-Multiagent systems and their applications
-Multiagent systems and evolving intelligence
-Natural language processing
-Neural networks
-Planning and scheduling
-Uncertainty in AI
-Web services

Proceedings Index
The MIWAI 2011 proceedings were published in Springer’s LNAI series. This year, we are in the process of negotiating with Springer about publishing the MIWAI 2012 proceedings in the LNAI series again.

Submission requirements
Submissions of the following categories are invited:

Category A: Regular papers

Papers presenting new original work. Submitted papers should not exceed a length of 12 pages in the Springer LNAI format style. Regular papers will be reviewed on overall quality and relevance. Reviewing of category A papers will be double-blind. In order to make blind reviewing possible, the authors should follow that:

The authors' names and institutions should not appear in the paper. Unpublished work of the authors should not be cited.
Using "we" or "us" in reviews of literature should be avoided, e.g., "In [1] we have proposed..." should be changed to "In [1] the authors have proposed...".
The program committee will evaluate Category A papers as either "rejected" or "accepted as long paper" or "accepted as short paper". All accepted category A papers (long and short) will be fully published in the proceedings.
The authors can submit their papers via this link:


Artificial Intelligence (AI) research has broad applications in real world problems. Examples include control, planning and scheduling, pattern recognition, knowledge mining, software applications and strategy games. The ever-evolving needs in business both on a local and on a global scale demand better technologies for solving more and more complex problems. Such needs can be found in all industrial sectors and in any part of the world.

This workshop aims to be a meeting place where excellence in AI research meets the needs for solving dynamic and complex problems in the real world. The academic researchers, developers, and industrial practitioners will have extensive opportunities to present their original work, technological advances and practical problems. Participants can learn from each other and exchange their experiences in order to fine tune their activities in order to help each other better. The main purposes of the MIWAI series of workshops are as follows:

-to provide a meeting place for AI researchers and practitioners.
-to inform research students about cutting-edge AI research via the presence of outstanding international invited speakers.
-to raise the standards of practice of AI research by providing researchers and students with feedback from an internationally-renowned program committee.

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