Grand Challenges for CI (2003)

Reddy has stated the challenge this way: “Read a chapter of a text and answer the
questions at the back of the chapter.

in:
Some Challenges and Grand Challenges for Computational Intelligence
EDWARD A. FEIGENBAUM
Stanford University, Stanford, California
Journal of the ACM (JACM)
50 (1), January 2003
Pages 32-40
http://dl.acm.org/citation.cfm?id=602400
http://www.cs.iastate.edu/~honavar/feigenbaum.pdf

Computational intelligence: Grand challenges in 2014

Grand challenges for computational intelligence
Front. Robot. AI, 19 May 2014
http://journal.frontiersin.org/Journal/10.3389/frobt.2014.00002/full

The expansive research field of computational intelligence combines various nature-inspired computational methodologies and draws on rigorous quantitative approaches across computer science, mathematics, physics, and life sciences.
Some of its research topics, such as artificial neural networks, fuzzy logic, evolutionary computation, and swarm intelligence, are traditional to computational intelligence.
Other areas have established their relevance to the field fairly recently: embodied intelligence (Pfeifer and Bongard, 2006; Der, 2014), information theory of cognitive systems (Lungarella and Sporns, 2006; Polani et al., 2007; Ay et al., 2008), guided self-organization (Prokopenko, 2009; Der and Martius, 2012), and evolutionary game theory (Vincent and Brown, 2005).