Paul J. Buchheit Author of Evaluating Organization Development
FEATURED AUTHOR

Paul J. Buchheit


Paul Buchheit is an advocate for social and economic justice. His formal training is in computer science and cognitive science.

Biography

Paul Buchheit is an advocate for social and economic justice. His essays, videos, and poems can be found at YouDeserveFacts.org. He has contributed for several years to Commondreams.org, Nationofchange.org, Truthout.org, and Alternet.org.

Education

    PhD, Computer Science, University of Illinois-Chicago, 1991

Areas of Research / Professional Expertise

    Cognitive Science
    Human Rights & Social Justice

Personal Interests

    Health & Nutrition

Websites

Books

Featured Title
 Featured Title - Disposable Americans - 1st Edition book cover

Articles

Cognitive Systems Research, Vol 1, Issue 3, October 2000

Images to Syntax: A Neuropropositional Model of Language


Published: Oct 31, 2000 by Cognitive Systems Research, Vol 1, Issue 3, October 2000
Authors: Paul Buchheit

This paper argues that language acquisition can be explained through the interactions of neural networks that represent images and words. Language development is largely a learning process in which grammatical rules are derived from the universal capability for recognizing case roles and propositions in perceived and imagined mental images.

International Journal of Intelligent Systems, Vol 14, No. 6, 6/99

A Neuro-Propositional Model of Language Processing


Published: Jun 01, 1999 by International Journal of Intelligent Systems, Vol 14, No. 6, 6/99
Authors: Paul Buchheit

An implemented model of language processing has been developed that views the propositional components of a sentence as neural units.

International Journal of Man-Machine Studies 32, 109-117

Response Assertiveness in Human-Computer Dialogues


Published: Jan 31, 1990 by International Journal of Man-Machine Studies 32, 109-117
Authors: Paul Buchheit, Thomas Moher

This paper describes an attempt to determine expectations in human-computer dialogue through an experiment in which human subjects predict the responses of another human or a computer to natural language input.