Co-learning involving multiple agents and/or in a social setting has been studied in many different disciplines under various guises. For example, the issue has been addressed by distributed artificial intelligence, parallel distributed computing, cognitive psychology of learning, social psychology, game theory and other areas of mathematical economics, sociology, anthropology, and many other related disciplines. These studies are often disparate and different disciplines often ignore each other, although there have been cross-disciplinary work, such as AI studies using game theory or sociological work incorporating psychological insights.
We believe interdisciplinary interaction and integration are important. Cross-disciplinary communications can help to make better progress. Therefore, we want to take a close look at research on multi-agent learning and accentuate its interdisciplinary nature.
Papers on multi-agent learning are invited from AI, cognitive psychology, social psychology, game theory, economics, sociology, anthropology, and other related disciplines.
A non-exclusive set of possible topics (among other possibilities) are:
Please submit papers electronically, in a PostScript or PDF form, by October 1st, 2000, to the editors listed above
See http://www.cogsci.rpi.edu/~rsun/journal.html for submission details. For sample issues of JCSR and recent tables of content, see http://www.elsevier.nl/locate/cogsys