Logic List Mailing Archive

Book announcement: "Perspectives on Neural-Symbolic Integration"

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 Grel, 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 Hldobler and Andreas Witzel

10 Learning Models of Predicate Logical Theories with Neural Networks
Based on Topos Theory
Helmar Gust, Kai-Uwe Kuhnberger, 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.