Foundations of connectionist-symbolic
representation, paradigms, and algorithms
Berlin, August 21, 2000
|Submission procedure||Organization||ECAI-2000 page|
In this workshop, we aim at fostering a deep discussion about at least three topics that we believe to be fundamental for the development of a successful theory of Connectionist-Symbolic Integration: representation, paradigms, and algorithms. Concerning representation, it is fully recognized that structured representations are ubiquitous in different fields such as knowledge representation, language modeling and pattern recognition. The interest in developing connectionist architectures capable of dealing with these rich representations (as opposed to "flat" or vector-based representations) can be traced back to the end of the 80's. Today, after more than ten years since the explosion of interest in connectionism, research in architectures and algorithms for learning structured representations still has a lot to explore and no definitive answers have emerged.
Different integration paradigms have also been proposed: these are the unified and the hybrid approaches to integration. Whereas the purely connectionist ("connectionist-to-the-top") approach claims that complex symbol processing functionalities can be achieved via neural networks alone, the hybrid approach is premised on the complementarity of the two paradigms and aims at their synergistic combination in systems comprising both neural and symbolic components. In fact, these trends can be viewed as two ends of an entire spectrum.
Topics of interest include:
Other researchers interested in attending the workshop
without contributing a paper should send a short position paper describing
their interest in the mentioned topics.
|9.00 AM||R. Sun (Univ. Of Missouri, USA).
Beyond Rule Extraction
|9.45 AM||R. Hayward, R. Nayak,
and J. Diederich (Queensland Univ. of Technology, Australia).
Using Predicates to Explain Networks.
|10.40 AM||Coffee break|
|11.00 AM||B. Apolloni, D. Malchiodi, C.
Orovas, and G. Palmas (Univ. Milano, Italy).
From Synapses to rules.
|11.30 AM||A.S. d'Avila Garcez, K. Broda,
and D. M. Gabbay (Imperial College London, UK).
Metalevel Priorities and Neural Networks.
|12.00 AM||J. Neumann (Univ. Edinburgh -
Holistic Transformation of Holographic Reduced Representations.
|1.50 PM||S. Kramer (Univ. Freiburg, Germany).
Decoupling Feature Construction and Model Constuction in Relational Learning.
|3.10 PM||Coffee break|
|3.30 PM||S. Wermter and C. Panchev (Univ.
Sunderland, UK). (invited speaker)
Hybrid Sequential Machines based on Neuroscience
|4.15 PM||B. Hammer (Univ. Osnabrueck).
Approximation and generalization issues of recurrent networks dealing with structured data.
|4.45 PM||A. Wichert (Univ. Ulm, Germany).
Hierarchical Categorization in a Paleontological Research Database.
|University of Florence, Dept.
Of Systems and Computer Science
Via di Santa Marta 3, I-50139 Firenze, Italy
|University of Siena, Dept.
Of Information Engineering
Via Roma 56, I-53100 Siena, Italy
|Concordia University, Dept.
Of Computer Science
1455 de Maisonneuve West, Montreal Quebec H3G 1M8, Canada
|University of Pisa, Dept.
Of Computer Science
Corso Italia 40, I-56125 Pisa, Italy