Title: "Oh sure, my method is connectionist too. Who said it's not?" Panel Organizers: Ron Sun, Bruno Appoloni, and Asim Roy Decription: Some claim that the notion of connectionism is an evolving one. Since the publication of the PDP book (which enumerated the then accepted principles of connectionism), many new ideas have been proposed and many new developments have occurred. So according to these claims, the connectionism of today is different from connectionism of yesterday. Examples of such new developments in connectionism include hybrid connectionist-symbolic models (Sun 1995, 1997), neuro-fuzzy models (Keller 1993, Bezdek 1992), reinforcement learning models (Kaelbling et al. 1994, Sutton and Barto 1998), genetic/evolutionary algorithms (Mitchell 1994), support vector machines (Vapnik 1998), and so on. In these newer connectionist models, there are many violations of the "older" connectionist principles. One of the simplest violations is the reading and setting of connection weights in a network by an external agent in the system. The means and mechanisms of external setting and reading of weights were not envisioned in early connectionism. Why do we need local learning laws if an external source can set the weights of a network? So this and other features of these newer methods are obviously in direct conflict with early connectionism. In the context of these algorithmic developments, it has been said that maybe nobody at this stage has a clear definition of connectionism, that everyone makes things up (in terms of basic principles) as they go along. Is this the case? If so, does this pose a problem for the field? To defend this situation, some argue that connectionism is not just one principle, but many? Is that the case? If not, should we redefine connectionism given the needs of these new types of learning methods and on the basis of our current knowledge of how the brain works? This panel intends to closely examine this issue in a focused and intensive way. Debates are expected. We hope to at least clarify some fundamental notions and issues concerning connectionism, and hopefully also make some progress on understanding where it needs to go in the near future.