Connectionists: Book announcement: Perspectives of Neural-Symbolic Integration

[Pascal Hitzler]

Dear colleagues,

I would like to announce a new book on

Perspectives of Neural-Symbolic Integration
Springer 2007
Barbara Hammer and Pascal Hitzler (eds.)
<http://www.springer.com/west/home/new+&+forthcoming+titles+(default)?SGWID=4-40356-22-173752945-0>

Cover text:
-----------

The human brain possesses the remarkable capability of understanding, 
interpreting, and producing language, structures, and logic. Unlike 
their biological counterparts, artificial neural networks do not form 
such a close liason with symbolic reasoning: logic-based inference 
mechanisms and statistical machine learning constitute two major and 
very different paradigms in artificial intelligence with complementary 
strengths and weaknesses. Modern application scenarios in robotics, 
bioinformatics, language processing, etc., however require both the 
efficiency and noise-tolerance of statistical models and the 
generalization ability and high-level modelling of structural inference 
meachanisms. A variety of approaches has therefore been proposed for 
combining the two paradigms.

This carefully edited volume contains state-of-the-art contributions in 
neural-symbolic integration, covering `loose' coupling by means of 
structure kernels or recursive models as well as `strong' coupling of 
logic and neural networks. It brings together a representative selection 
of results presented by some of the top researchers in the field, 
covering theoretical foundations, algorithmic design, and 
state-of-the-art applications in robotics and bioinformatics.


Table of Contents:
------------------


PART I STRUCTURED DATA AND NEURAL NETWORKS

1 Kernels for Strings and Graphs
Craig Saunders, Anthony Demco

2 Comparing Sequence Classification Algorithms for Protein Subcellular 
Localization
Fabrizio Costa, Sauro Menchetti, Paolo Frasconi

3 Mining Structure-Activity Relations in Biological Neural Networks 
using NeuronRank
Tayfun Gürel, Luc De Raedt, Stefan Rotter

4 Adaptive Contextual Processing of Structured Data by Recursive Neural 
Networks: A Survey of Computational Properties
Barbara Hammer, Alessio Micheli, Alessandro Sperduti

5 Markovian Bias of Neural-based Architectures With Feedback Connections
Peter Tino, Barbara Hammer, Mikael Boden

6 Time Series Prediction with the Self-Organizing Map: A Review
Guilherme A. Barreto

7 A Dual Interaction Perspective for Robot Cognition: Grasping as a 
“Rosetta Stone”
Helge Ritter, Robert Haschke, Jochen J. Steil


PART II LOGIC AND NEURAL NETWORKS

8 SHRUTI: A Neurally Motivated Architecture for Rapid, Scalable Inference
Lokendra Shastri

9 The Core Method: Connectionist Model Generation for First-Order Logic 
Programs
Sebastian Bader, Pascal Hitzler, Steffen Höldobler and Andreas Witzel

10 Learning Models of Predicate Logical Theories with Neural Networks 
Based on Topos Theory
Helmar Gust, Kai-Uwe K¨uhnberger, Peter Geibel

11 Advances in Neural-Symbolic Learning Systems: Modal and Temporal 
Reasoning
Artur S. d’Avila Garcez

12 Connectionist Representation of Multi-Valued Logic Programs
Ekaterina Komendantskaya, Maire Lane and Anthony Karel Seda


Best Regards,

Pascal Hitzler.

-- 
PD Dr. Pascal Hitzler
Institute AIFB, University of Karlsruhe, 76128 Karlsruhe
email: hitzler at aifb.uni-karlsruhe.de    fax: +49 721 608 6580
web:   http://www.pascal-hitzler.de   phone: +49 721 608 4751
        http://logic.aifb.uni-karlsruhe.de
        http://www.neural-symbolic.org