Mission Statement

The application of evolutionary optimization techniques in practice and the industry still meets with skepticism and prejudices. Especially emerging CI technologies face this problem, even in the academic sector. The reasons are that only few people are trained and educated in CI and its emergent fields. It thus is our goal to provide a wider audience with a clearly organized, sorted, comprehensive, up-to-date, and free collection of education and teaching material on emergent Computational Intelligence-based technologies. We will collect, review, and present a set of high-quality education, teaching, and training material in a central repository. As such material becomes available and easier to find, more students and practitioners will acquire knowledge in the area and it also becomes easier for university teachers to include corresponding topics into their curriculum.

Planned Activities:

Launch of a website for presenting teaching material and tutorials on emerging areas in EC. This website can be found under http://www.emergentCITechs.org/.
Collect videos of tutorials, invited talks, and plenary talks at all major CIS conferences.
Develop catalogue on courses, syllabuses, teaching material, literature, software and sources, as well as real-world applications concerning the related fields.
Review the material collected by the above activities.

Goals

The main goal of this task force is to build a central website and repository for tutorials, teaching material, how-tos, examples, sources, manuals, and references on Emergent Technologies in Computational Intelligence as listed in section "Scope" below. We will therefore collect and compile videos of tutorials, invited talks, and plenary talks at major CIS conferences, review the online education materials that are related to the interests of the Emergent Technology Technical Committee (ETTC) for their relevance and accuracy, and assist in other CIS educational activities within the fields of ETTC. We will also provide a catalogue on courses, syllabuses, teaching material, literature, software and sources, as well as real-world applications concerning the related fields.

Scope

The scope of this task force includes the following topics:

Theory of Evolutionary Algorithms
Evolutionary Algorithms for Computationally Expensive Problems
Evolutionary Algorithms for Logistic Optimization
Memetic Computing
Affective Computing
Ambient Intelligence
Autonomic and Trusted Computing
Bio-inspired Self-organizing Collective Systems
Brain Informatics
Collaborative Learning and Optimization
Creative Intelligence
Emerging Technologies for Computer Go
Intelligent Agents
Organic Computing
Quantum Computing

Additional Information

This task force looks slightly similar to the existing IEEE Computational Intelligence Society Task Force on Education Activities (CAOS). However, these two TFs are clearly different from each other. On the one hand, the focus of CAOS is CI in general. Sorting, providing, and reviewing the fast amount of educational material regarding general CI topics is beyond the scope of our proposed task force. Instead, we explicitly focus on the emerging areas of CI. Here, much less material is available, and the topics are more controversial which makes a more thorough review process necessary. CAOS targets a much wider area and has a more general agenda which will not allow for giving attention to emergent CI technologies.