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Cognitive Robotics
The current state of the art in cognitive robotics, covering the challenges of building AI-powered intelligent robots inspired by natural cognitive systems. A novel approach to building AI-powered intelligent robots takes inspiration from the way natural cognitive systems—in humans, animals, and biological systems—develop intelligence by exploiting the full power of interactions between body and brain, the physical and social environment in which they live, and phylogenetic, developmental, and learning dynamics. This volume reports on the current state of the art in cognitive robotics, offering the first comprehensive coverage of building robots inspired by natural cognitive systems. Con...
Sensors and Microsystems
This book collects a number of papers presented at the 13th Italian Conference on Sensors and Microsystems. It provides a unique perspective on the research and development of sensors, microsystems and related technologies in Italy. Besides the scientific value of the papers, this book offers a unique source of data to analysts that intend to survey the Italian situation on sensors and microsystems.
Parallel Architectures and Neural Networks
Papers presented at the Third Workshop on Parallal Architetures and Neural Networks, organized by the International Institute for Advanced Scientific Studies, in collaboration with other Italian institutions.
VLSI 91
The major problem in VLSI is really the control of complexity. The hardest part is the control of autonomous yet interacting processes. We do not yet have satisfactory techniques for handling that sort of thing, but I think the techniques we need to develop are independent of whether you are programming or designing the chip. Sidney Michaelson, Initiator of the IFIP Working Group on VLSI. This proceedings, dedicated to the late Prof. Sidney Michaelson, who ten years ago established this IFIP Working Group, reflects the continuing interest in improving design tools and the wide range of engineering concerns surrounding the effective exploitation of VLSI.
Silicon Architectures for Neural Nets
Papers presented within this volume deal with architectures suitable for, and problems typical of, silicon implementation of neural nets. Analog solutions, as opposed to digital ones, are widely advocated as an attractive implementation, given compactness of the obtained architectures, low power consumption, and ease of emulating the analog behaviour of biological networks. Also, a mixed-mode solution, combining the analog/neural and the digital/logical processing aspects is advocated.
Mathematical Reviews
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