chapter  10
14 Pages

Toward Connectionist Representation of Legal Knowledge

In this chapter, we discuss research in connectionism and neurophysiology and examine the potential implications for understanding and representing legal knowledge. Artificial intelligence approaches such as rule-based and case-based while adequate for representing knowledge in the legal function, have proven insufficient for representation of complex, large-scale legal decision making systems that assimilate a variety of inputs. This chapter contributes to three important goals: examination of the legal decision process as a special instance of human decision making, potential use of connectionist approaches to representation of legal knowledge and moving toward comprehensive, unified conceptual frameworks for research.