A Neural-Functionalist Approach to Learning
نویسندگان
چکیده
ing,” at the Winter Conference on Learning and Behavior, Winter Park, CO, January, 2001. The research was supported by Grants MH 60157 from the National Institute of Mental Health and NS 41548 from the National Institute of Neurological Disorders and Stroke. The authors would like to thank Kyle Baumbauer and Erin Young (Kent State University) and Kevin Bolding, Anne Bopp, Adam Ferguson, Christine George, Michelle Hook, Russell Huie, Mary Meagher, Mark Packard, and Stephanie Washburn (Texas A&M University) for their comments on this paper and their help in developing the concept of neurofunctionalism. The lead author would also like to acknowledge the indirect contribution made by Mike Domjan, Randy Gallistel, Steve Maier, Bob Rescorla, Paul Rozin, Jerry Rudy, and Bill Timberlake. Many will recognize that the authors have simply sewn together some views that these researchers have advocated for over 20-30 years. While we acknowledge the foundation they provided, they did not review our plans. Accordingly, any angst generated by the views espoused should be directly solely towards the authors. Correspondence should be addressed to J. Grau, Department of Psychology, Texas A&M University, College Station, TX 778434235 U.S.A. ([email protected]). International Journal of Comparative Psychology, 2005, 18, 1-22. Copyright 2004 by the International Society for Comparative Psychology
منابع مشابه
Learning Curve Consideration in Makespan Computation Using Artificial Neural Network Approach
This paper presents an alternative method using artificial neural network (ANN) to develop a scheduling scheme which is used to determine the makespan or cycle time of a group of jobs going through a series of stages or workstations. The common conventional method uses mathematical programming techniques and presented in Gantt charts forms. The contribution of this paper is in three fold. First...
متن کاملForward kinematic analysis of planar parallel robots using a neural network-based approach optimized by machine learning
The forward kinematic problem of parallel robots is always considered as a challenge in the field of parallel robots due to the obtained nonlinear system of equations. In this paper, the forward kinematic problem of planar parallel robots in their workspace is investigated using a neural network based approach. In order to increase the accuracy of this method, the workspace of the parallel robo...
متن کاملSemi-Supervised Learning Based Prediction of Musculoskeletal Disorder Risk
This study explores a semi-supervised classification approach using random forest as a base classifier to classify the low-back disorders (LBDs) risk associated with the industrial jobs. Semi-supervised classification approach uses unlabeled data together with the small number of labelled data to create a better classifier. The results obtained by the proposed approach are compared with those o...
متن کاملAn Unsupervised Learning Method for an Attacker Agent in Robot Soccer Competitions Based on the Kohonen Neural Network
RoboCup competition as a great test-bed, has turned to a worldwide popular domains in recent years. The main object of such competitions is to deal with complex behavior of systems whichconsist of multiple autonomous agents. The rich experience of human soccer player can be used as a valuable reference for a robot soccer player. However, because of the differences between real and simulated soc...
متن کاملLearning Document Image Features With SqueezeNet Convolutional Neural Network
The classification of various document images is considered an important step towards building a modern digital library or office automation system. Convolutional Neural Network (CNN) classifiers trained with backpropagation are considered to be the current state of the art model for this task. However, there are two major drawbacks for these classifiers: the huge computational power demand for...
متن کاملIdentify enablers of agility and agile modeling strategy with neural network approach
The electronic industry suffers a rapid changing and highly rival environment. Thus, firms have an essential need to strive for acquiring the competitive advantage. Strategy Organizational Agility (SOA) is a tool which enables to assist firms to attain the competitive advantage. Therefore, this study benchmarks the core competencies from a case study within the supply chain network and establis...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005