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Exploring connectionist approaches to legal decision making
Author(s) -
Raghupathi By Wullianallur,
Schkade Lawrence L.,
Bapi Raju S.,
Levine Daniel S.
Publication year - 1991
Publication title -
behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 0005-7940
DOI - 10.1002/bs.3830360206
Subject(s) - conceptualization , connectionism , variety (cybernetics) , computer science , management science , cognitive science , artificial intelligence , decision support system , data science , psychology , artificial neural network , engineering
In this exploratory paper, we discuss research in connectionism and neurophysiology and examine the potential implications for understanding and modeling legal decision making. Artificial intelligence approaches such as rule‐based and case‐based, while adequate for implementing systems in specific legal domains, have proven insufficient for modeling complex, large‐scale legal systems that assimilate a variety of inputs. This paper contributes to three important goals: modeling legal decision processes as special instances of human decision making, conceptualization of intelligent, computer‐based legal systems, and moving toward integrated frameworks for research.