Call for Papers: Journal Special Issue on == Perspectives and Challenges for Recurrent Neural Networks == Marco Gori, Barbara Hammer, Pascal Hitzler, Guenther Palm Special issue of the Elsevier Journal of Algorithms in Cognition, Informatics and Logic http://www.elsevier.com/wps/find/journaldescription.cws_home/622851/description = SCOPE = Recurrent neural networks (RNNs) enable flexible machine learning tools which can directly process spatiotemporal and other structured data and which offer a rich dynamic repertoire as time dependent systems. They promise to be efficient signal-processing models which are biologically plausible and optimally suited for a wide range of industrial applications on the one hand, and an explanation of cognitive phenomena of the human brain on the other hand. Despite these facts, however, the design of efficient training methods for RNNs as well as their mathematical investigation with respect to reliable information representation and generalization abilities when dealing with complex data structures is still a challenge. It has led to diverse approaches and architectures including echo and liquid-state-machines, long short term memory, recursive and graph networks, core neuro-symbolic integration, etc. Interestingly, very heterogeneous domains are included, such as logic, chaotic systems, and biological networks. The aim of the special issue is to bring together recent work developed in the field of recurrent information processing, which bridges the gap between different approaches and which sheds some light on canonical solutions or principled problems which occur in the context of recursive information processing when considered across the disciplines. = TOPICS = We particularly encourage submissions connected to the following non-exhaustive list of topics: - new learning paradigms of RNNs such as unsupervised learning or reservoire learning - biologically plausible methods - integration of RNNs and symbolic reasoning - universal approaches for general data structures such as sets or graphs - methods which address the generalization ability of RNNs - challenging applications which have the potential to be benchmark problems - visionary papers concerning the future of RNNs = SUBMISSIONS = Deadline for submissions is 22nd of August, 2008. Submissions shall follow the guidelines laid out for the Journal of Algorithms in Cognition, Informatics and Logic, which can be found under . Submissions shall be sent as pdf to Pascal Hitzler, hitzler@aifb.uni-karlsruhe.de = EDITORIAL BOARD = Guilherme da Alencar Barreto, Universidade Federal do Ceara, Brasil Monica Bianchini, University of Siena, Italy Howard Blair, Syracuse University, USA Hendrik Blockeel, KU Leuven, Belgium Mikael Boden, University of Queensland, Australia Matthew Cook, ETH Zuerich, Switzerland Artur d'Avila Garcez, City University London, UK Luc de Raedt, KU Leuven, Belgium Steffen Hoelldobler, TU Dresden, Germany Herbert Jaeger, Jacobs University Bremen, Germany Stefan C. Kremer, University of Guleph, Canada Kai-Uwe Kuehnberger, University of Osnabrueck, Germany Alessio Micheli, University of Pisa, Italy Barak Pearlmutter, NUI Maynooth, Ireland Juergen Schmidhuber, TU Munich, Germany Alessandro Sperduti, University of Padova, Italy Jochen Steil, University of Bielefeld, Germany Peter Tino, University of Bermingham, UK Edmondo Trentin, University of Siena, Italy Thomas Wennekers, University of Plymouth, UK