Editor's remarks - A new page unfolded: IEEE Computational Intelligence Magazine
TL;DR: In this issue, three feature articles—evolutionary games, evolvable hardware and evolutionary multiobjective optimization—will address emerging application research within the fields of evolutionary computation by leaders in the technical communities.
Abstract: W elcome to the inaugural issue of IEEE Computational Intelligence Magazine! We are excited about this opportunity to further extend the missions accomplished from the CIS Newsletter, IEEE conneCtIonS. During the past three years, IEEE conneCtIonS has served its membership well by catering newly-emerging technology of interest to our readership and by bridging the communication between the volunteers and membership. Beginning in 2006, IEEE Computational Intelligence Magazine (CIM) will publish peer-reviewed articles that present emerging novel discoveries, important insights or tutorial surveys in all areas of computational intelligence design, applications and implementations, in keeping with the Field of Interest of the IEEE Computational Intelligence Society (CIS). Additionally, CIM will continuously serve as a medium of communications between the governing body and its membership of IEEE/CIS. Authors are encouraged to submit papers on applications-oriented developments, successful industrial implementations, design tools, technology reviews, computational intelligence education, and applied research. As with any new venture, it will take substantial hard work and serious commitments from all of us to nurture this publication. With your patience and active involvement, CIM will soon exhibit a level of excellence and quality worthy of our membership. In this issue, three feature articles—evolutionary games, evolvable hardware and evolutionary multiobjective optimization—will address emerging application research within the fields of evolutionary computation by leaders in the technical communities. Dissertations Completed and Conference Calendar will be highlighted in business departments throughout the issue. We hope you enjoy this issue. I invite you to contact associate editor Derong Liu at dliu@ece.uic.edu with interesting books in CI to review, recent Ph.D. dissertations completed or upcoming conferences to be included in the CIM Conference Calendar. To ensure we are serving your needs, the success of this Magazine relies heavily upon your active contribution submitting your research works, reporting your local chapter activities and providing feedback and comments. As your Editor-in-Chief, I invite you to contact me at gyen@okstate.edu with encouragements as well as criticisms. Join us again in May 2006 as we highlight more exciting developments and applications in the field of computational intelligence. Until then, here's to wishing you a productive 2006!
Citations
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15 Feb 2010
TL;DR: The realization of AI is not to be found in the domain of robotics—still in its infancy—but in the uncontroversially materialistic and practical world of industrial-processing plants, and current research delves into topics such as perception, understanding, self, and consciousness.
Abstract: Artificial intelligence (AI) seems to be at an impasse. The old vision of AI which started as the search for a computer-based approximation of the human mind is not delivering. The initial hype opened the door to ample criticism following failures to fulfill some bold predictions. Cognitive-systems research (CSR) has replaced AI at the forefront of this research programme. But CSR is really just a new name for the same set of objectives, designed to elude the tag of failure. The problem with this programme may not be in the methods but in the naive conceptualizations that have driven and are still driving the research. Indeed, AI has not been a failure. Many AI technologies are routinely used with enormous success in domains from credit-card authentication to nozzle design and language understanding. And beyond the focused applications of concrete AI technologies, its big objective remains an ongoing success. However, the realization of AI is not to be found in the domain of robotics—still in its infancy—but in the uncontroversially materialistic and practical world of industrial-processing plants. The challenges posed today by these complex technical systems set the proper stage for continuing the pursuit of the old dream of AI: the artificial mind. Current research delves into topics such as perception, understanding, self, and consciousness: not for human-like robots, but for plainly alien systems like refineries or electrical infrastructures. Intelligent control (IC) started as a process of technologically immersing AI into the world of control systems. For process control systems,1, 2 the availability of reusable inference engines led to implementation of expert systems exploiting the knowledge of human operators. At first, these systems were only usable as decision-support systems for humans. But with the development of real-time expert-system shells, one could use inference engines to implement closed-loop real-time controllers. At the same time, developments in fuzzy logic and fuzzy control technology enabled construction of systems embracing vagueness with better results than those obtained with other mechanisms Figure 1. Typical functional layering in a complex industrial-processcontrol system.
3 citations
References
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DOI•
15 Feb 2010
TL;DR: The realization of AI is not to be found in the domain of robotics—still in its infancy—but in the uncontroversially materialistic and practical world of industrial-processing plants, and current research delves into topics such as perception, understanding, self, and consciousness.
Abstract: Artificial intelligence (AI) seems to be at an impasse. The old vision of AI which started as the search for a computer-based approximation of the human mind is not delivering. The initial hype opened the door to ample criticism following failures to fulfill some bold predictions. Cognitive-systems research (CSR) has replaced AI at the forefront of this research programme. But CSR is really just a new name for the same set of objectives, designed to elude the tag of failure. The problem with this programme may not be in the methods but in the naive conceptualizations that have driven and are still driving the research. Indeed, AI has not been a failure. Many AI technologies are routinely used with enormous success in domains from credit-card authentication to nozzle design and language understanding. And beyond the focused applications of concrete AI technologies, its big objective remains an ongoing success. However, the realization of AI is not to be found in the domain of robotics—still in its infancy—but in the uncontroversially materialistic and practical world of industrial-processing plants. The challenges posed today by these complex technical systems set the proper stage for continuing the pursuit of the old dream of AI: the artificial mind. Current research delves into topics such as perception, understanding, self, and consciousness: not for human-like robots, but for plainly alien systems like refineries or electrical infrastructures. Intelligent control (IC) started as a process of technologically immersing AI into the world of control systems. For process control systems,1, 2 the availability of reusable inference engines led to implementation of expert systems exploiting the knowledge of human operators. At first, these systems were only usable as decision-support systems for humans. But with the development of real-time expert-system shells, one could use inference engines to implement closed-loop real-time controllers. At the same time, developments in fuzzy logic and fuzzy control technology enabled construction of systems embracing vagueness with better results than those obtained with other mechanisms Figure 1. Typical functional layering in a complex industrial-processcontrol system.
3 citations