From Artificial Intelligence to Artificial Wisdom скачать в хорошем качестве

From Artificial Intelligence to Artificial Wisdom

By Dr. Robert Finkelstein Robotic Technology Inc.,President and University of Maryland As with “intelligence,” there are many definitions of wisdom and none are totally satisfactory. Our pragmatic definition of wisdom is: a system that is wise has the ability to perceive both the forest and the trees. This metaphoric definition encompasses what we think is the essential aspect of wisdom: the integration of broad understanding (the forest) with attention to detail (the trees). A wise system, in making a judgment, contemplates the broad context of a problem and its potential widespread impact on many affected entities and long-term goals (the scope), as well its narrow effect on individual entities and short-term goals (the detail). AI excels at executing micro-tasks, but misses the big picture. When integrated with an AI system, artificial wisdom (AW) enables the AI system to exercise judgment that is both precise and holistic, ensuring that tactical decisions align with higher-level objectives while avoiding costly or narrow-sighted actions. We have coined a portmanteau word to encompass cognitive processes or judgments that are both precise and holistic: “prolistic.” Dr. Robert Finkelstein earned a B.A. in Physics from Temple University in 1964, an M.S. in Physics from the University of Massachusetts in 1966, an M.S. in Operations Research from the George Washington University (GWU) in 1974, an Ap.Sci. (Applied Scientist degree) in Operations Research from GWU in 1977, a Doctorate with the primary field of Systems Theory and Cybernetics and the supporting field of the Management of Science, Technology, and Innovation from GWU in 1995, as well as an LL.B. in American law and Procedure from LaSalle Extension University in 1971, Diplomas from the U.S. Army Missile School in 1967 and the U.S. Army Ordnance School in 1966, Certificates from the University of Tennessee Space Institute in Combat Obscuration Modeling in 1978 and the University of California, Los Angeles, in Battlefield Robotics in 1983, and post-graduate courses in Physics at the Massachusetts Institute of Technology during 1968-1970. As President of Robotic Technology Inc. (RTI) from 1985 to the Present, Dr. Finkelstein is responsible for the development of autonomous intelligent robots and intelligent systems, technical analyses, technology assessments, operations research, business development, and other professional services, for government, industry, and academia – nationally and internationally – in military and civil advanced technology systems, especially robotics, unmanned vehicles, and intelligent systems. In recent years he invented the Energetically Autonomous Tactical Robot (EATR), developed under sponsorship of the Defense Advanced Research Projects Agency (DARPA); he created and managed the Intelligent Vehicle Technology Transfer (IVTT) Program under sponsorship of DARPA; and he initiated the Military Memetics Program, under sponsorship of DARPA. Dr. Finkelstein also serves as adjunct Professor at the University of Maryland University College in the Graduate School of Management and Technology, from 1999 to the Present, teaching graduate courses in: systems engineering; information technology; foundations of management and technology; strategic management of technology and innovation; systems and operations research; the manager in a technological society; principles of technology management; risk management; contract pricing and negotiation; and project management. He is an adjunct Professor for Unmanned Vehicle University. Since 2008 he has served as a Director of the Intelligent Systems Laboratory in the Center for Technology and Systems Management within the Clark School of Engineering at the University of Maryland, College Park. https://smartsemiotics.com/announcing...