Building intelligent systems with the human level of competence is the ultimate grand challenge for science and technology in general, and the computational intelligence community in particular. How are we going to achieve it? Several exciting projects aimed at reaching human-level intelligence have been formulated recently. Some of these projects start from low-level neuromorphic brain simulations, some focus on mesoscopic brain simulators, some are based on hybrid architectures and some try to develop higher-level cognitive functions at purely symbolic level. What are the merits, what are the limitations, and what can we expect at the end of each road? At the WCCI 2008 congress we plan to have a special session aimed at reviwing current trends and defining a roadmap to build systems with human-level intelligence. It is a multi-disciplinary subject demanding concentrated effort of experts from various fields, with wide potential applications, currently pursued by both industrial research scientists and academics, who have already formulated interesting projects in this area. The emphasis will be on the scalability of the proposed models, defining the series of challenges that should be solved by these models, evolutionary and bootstrap approaches that may bring us there faster. The topics for this special session include, but are not limited to:
We hope to have even more exciting session than we had at WCCI 2006! Please join us!
Important technical information: