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Neuroethology of the Colonial Mind: Ecological and Evolutionary Context of Social Brains
Animal groups often display striking collective organization, which relies on social interactions. These interactions require neural substrates supporting the exchange of information among individuals and the processing of this information. The social brain hypothesis, suggested from neuroanatomical findings in primates, posits that increasing levels of sociality involve a higher investment in neural tissue to cope with social information. However, distributed cognition and swarm intelligence might alleviate the cognitive load on the individuals, and potentially reduce their neural requirements. Research on social insects, which are an exemplar of collective action, has so far produced mixed...
Class Field Theory
Global class field theory is a major achievement of algebraic number theory based on the functorial properties of the reciprocity map and the existence theorem. This book explores the consequences and the practical use of these results in detailed studies and illustrations of classical subjects. In the corrected second printing 2005, the author improves many details all through the book.
Science Citation Index
Vols. for 1964- have guides and journal lists.
Bipartite Graphs and Their Applications
This is the first book which deals solely with bipartite graphs. Together with traditional material, the reader will also find many new and unusual results. Essentially all proofs are given in full; many of these have been streamlined specifically for this text. Numerous exercises of all standards have also been included. The theory is illustrated with many applications especially to problems in timetabling, Chemistry, Communication Networks and Computer Science. For the most part the material is accessible to any reader with a graduate understanding of mathematics. However, the book contains advanced sections requiring much more specialized knowledge, which will be of interest to specialists in combinatorics and graph theory.
Special Computer Architectures for Pattern Processing
It has been recognized for a long time that a conventional sequential processor is inefficient for operations on pictorial data where relatively simple operations need to be performed on a large number of data elements (pixels). Though many parallel processing architectures for picture processing have been proposed in the past, very few have actually been implemented due to the costs involved. With LSI technology, it is becoming possible to realize parallel architectures at a modest cost. In the following the authors review some of the proposed architectures for pattern recognition and image processing.
