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IEEE Computational Intelligence Magazine

Issue 3 • Date Aug. 2006

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Displaying Results 1 - 18 of 18
  • Computational Maps in the Visual Cortex [Book Review]

    Publication Year: 2006, Page(s):54 - 55
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  • 2006 IEEE International Conference on Granular Computing

    Publication Year: 2006, Page(s):53 - 55
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  • CIS: Conference activities

    Publication Year: 2006, Page(s):2 - 3
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  • Soiety briefs [The IEEE CIS has emerged as the leading scientific association worldwide]

    Publication Year: 2006, Page(s): 13
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  • IEEE Computational Intelligence Magazine - Aug. 2006

    Publication Year: 2006, Page(s): 0_1
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  • IEEE Symposium Series on Computational Intelligence - Call for Papers

    Publication Year: 2006, Page(s): 0_2
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  • Table of contents - Vol 1 No 3

    Publication Year: 2006, Page(s): 1
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  • Building blocks of development [robot learning]

    Publication Year: 2006, Page(s):4 - 8
    Cited by:  Papers (1)
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  • Collective intelligence

    Publication Year: 2006, Page(s):9 - 12
    Cited by:  Papers (6)
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  • Family corner [IEEE Ukraine Section - Instrumentation & Measurement/Computational Intelligence Joint Societies Chapter (USI&M/CIJSC) was created June 7, 2005]

    Publication Year: 2006, Page(s): 14
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  • From neural networks to the brain: autonomous mental development

    Publication Year: 2006, Page(s):15 - 31
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1620 KB) | HTML iconHTML

    Artificial neural networks can model cortical local learning and signal processing, but they are not the brain, neither are many special purpose systems to which they contribute. Autonomous mental development models all or part of the brain (or the central nervous system) and how it develops and learns autonomously from infancy to adulthood. Like neural network research, such modeling aims to be b... View full abstract»

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  • How computational models help explain the origins of reasoning

    Publication Year: 2006, Page(s):32 - 40
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1712 KB) | HTML iconHTML

    Developmental psychology is ready to blossom into a modern science that focuses on causal mechanistic explanations of development rather than just describing and classifying the skills that children show at different ages. Computational models of cognitive development are formal systems that track the changes in information processing taking place as a behavior is acquired. Models are generally im... View full abstract»

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  • Social development [robots]

    Publication Year: 2006, Page(s):41 - 47
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1027 KB) | HTML iconHTML

    Most robots are designed to operate in environments that are either highly constrained (as is the case in an assembly line) or extremely hazardous (such as the surface of Mars). Machine learning has been an effective tool in both of these environments by augmenting the flexibility and reliability of robotic systems, but this is often a very difficult problem because the complexity of learning in t... View full abstract»

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  • The Mental Development Repository

    Publication Year: 2006, Page(s):48 - 49
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  • Autonomous mental development: soaring beyond tradition

    Publication Year: 2006, Page(s):50 - 52
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (644 KB) | HTML iconHTML

    This article provides a brief overview of the history of autonomous mental development as a discipline View full abstract»

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  • Conference calendar

    Publication Year: 2006, Page(s): 56
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  • 2006 IEEE Antennas and Propagation Society - Membership application

    Publication Year: 2006, Page(s): 03
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  • IEEE Enterprise [advertisement]

    Publication Year: 2006, Page(s): 04
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Aims & Scope

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications, in keeping with the Field of Interest of the IEEE Computational Intelligence Society (IEEE/CIS). 

Full Aims & Scope