With new insights to a well-documented topic, this book offers an excellent incentive and useful tools for system designers to pursue activity-centered design.

Nature is very simple and efficient in everything she makes, and is extremely obvious. We humans like to simulate in an extremely complicated manner what exists quite simply in nature, and what we succeed in simulating falls in the category of artificial intelligence. Artificial intelligence has limits of scope, but they fade away when compared with the performances of natural intelligence. In this study, we undertake to outline some limits of artificial intelligence compared to natural intelligence and some clear-cut differences that exist between the two.

Understanding the connection between science and technology is an essential step toward creating a more humane technoscience in the future.

The application of computing to research problems in the humanities is not new...

Edmund B. (Pete) Burke, interviewed here, is an attorney whose special experience is in the areas of software and technology law and e-commerce.

What is the difference between a falling stone and a falling cat? Mihai Nadin, who directs the newly established Institute for Research in Anticipatory Systems at the University of Texas at Dallas, holds a Ph.D. degree in aesthetics from the University of Bucharest and a post-doctoral degree in philosophy, logic and theory of science from Ludwig Maximilian University in Munich, West Germany. He earned an M.S. degree in electronics and computer science from the Polytechnic Institute of Bucharest and an M.A. degree in philosophy from the University of Bucharest. He has authored 23 books, including "The Civilization of Illiteracy," "Mind: Anticipation and Chaos," and "Anticipation: The End is Where We Start From."

Looking for the great clients who are the true innovators? Co-director of the MIT Media Lab's eMarkets Initiative, a senior advisor to MIT's Security Studies Program, and a consultant to MIT's Langer Labs on technology transfer issues, Michael Schrage conducts research on the economics of innovation. His particular focus is on the role of models, prototypes and simulations in managing interactive iterative design, an area in which he works with a number of companies.