LEARNING'98

Original and not published papers are invited on the following subjects and topics (without excluding contributions related to additional aspects of learning):

1. Human & Machine Learning
   1. Biological and machine learning paradigms
   2. Computational models for biological learning
   3. Biological principles applied to artificial learning
2. Mathematical Models of Learning
   1. Constructing and validating models and architectures
   2. Defining goals and objectives
   3. Training methods and algorithms
   4. Generalization aspects in learning processes
3. Facing the Principal Learning Difficulties
   1. Complexity and learning
   2. Nonstationary environments: evolution and learning
   3. Learning in active environments
   4. Learning strategies
4. Applications
   1. Computational learning applications
   2. Intelligent Agents and their applications
   3. Teaching to learn
   4. Technology for human training and learning

It is expected to dedicate one session to each one of these four blocks: each session will include an invited lecture plus 2/3 oral presentations (20 m) plus 8/12 poster contributions.

The publication of a special issue of a technical journal and a book including extended versions of selected papers is under negotiation. More information to follow on http://learn98.tsc.uc3m.es.