Jay E. Aronson, Ph.D.
Professor of Management Information Systems
Department of Management Information Systems
Terry College of Business
The University of Georgia
307 Brooks Hall
Athens, GA 30602-6273, USA
Moving Simulation into Mainstream Business Strategies
The notions and use of simulation has existed for centuries. Today, computer simulations are developed and used in a wide variety of fields and for a wide variety of purposes. Some simulations are developed to analyze existing mechanical systems to determine how to make them work better (e.g., wind tunnels); others are developed to run as a combined software/hardware configuration for training (e.g., flight simulators); while others are developed to estimate how a proposed real system might function (be it a real or business system); and so on. Analysts frequently develop and use simulations to evaluate existing and new systems, possibly some eighty percent or more of the time that analytical techniques are employed in practice. However, a major challenge remains for the field: how can we make simulation a mainstream business technique? How can we incorporate simulation modeling and solution directly into business intelligence environments so that it will be utilized when it is the best analytical tool for solving a particular kind of problem? How can we promote the use of simulation by managers? The key question in all this is: what kinds of methodologies and tools do we need to develop to make simulation viable for managers to use, rather than mainly for highly trained analysts to use. We explore some potential strategies that could move simulation into mainstream business, and some existing and potential applications in todayâ€™s modern business environment
You can download his biography here.
To model a system generating Artificial Consciousness Facts: A deep problem
We have today defined the specifications for the architecture of a system generating artificial thoughts about the things of the world it can perceive with the sensors of its artificial body and using its memory of artificial events as a radical extension of the Knowledge Level. The model uses massive multi-agent systems with a distributed morphological control allowing coactivity and emergence. A system generating artificial facts can be distributed on many robots and can use many classical reactive or control-command systems, forming naturally a meta-system. But is our society at the good level of knowledge and of ethic to have the good utilizations of such a system?