Engineering Human Social, Cultural, and Political Factors into Intelligent Systems—Inferring Intentions and Behaviors Behind Decision-Making
Eugene Santos Jr., Professor, Thayer School of Engineering
Friday, January 18, 2008
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This seminar is part of the Jones Seminars on Science, Technology, and Society series
Accounting for human social, cultural, and political factors must form the basis for engineering intelligent systems that are capable of understanding the decision-making, actions, and reactions of individuals which drive their behaviors and intentions. Clearly, the individual is not wholly defined by just personal social, cultural, and political beliefs but also functions within a group of individuals. Within these groups (or organizations), they assimilate a potentially wide variety of different social factors, which may or may not differ from their own. Also, the group itself can vary in degrees of complexity, styles of interaction, and so forth, resulting in highly dynamic and emergent modes of behaviors. Even more difficult, this also includes taking into account the values, attitudes, and beliefs of the local population/environment that the individual/group is situated within. Without all these factors, we cannot expect to effectively understand, analyze, or predict the behaviors and intentions of others which grows ever more critical as our society continues to globalize and especially in today's conflicts and catastrophes. Thus, the need for a comprehensive engineering and modeling framework is evident as our only real hope of addressing such complexity. However, to date, only small isolated groups of pertinent behavioral factors have been studied, while there is little or no work towards developing a general unified and comprehensive computational engineering/modeling approach. In this talk, I will discuss these issues and the research challenges towards achieving such a framework.
About the Speaker
Dr. Eugene Santos Jr., received his B.S. ('85) in Mathematics and Computer Science from Youngstown State University, a M.S. ('86) in Mathematics (specializing in Numerical Analysis) from Youngstown State University, as well as Sc.M. ('88) and Ph.D. ('92) degrees in Computer Science from Brown University. He is currently Professor of Engineering in the Thayer School of Engineering at Dartmouth College, Hanover, NH. His areas of research interest include artificial intelligence, intent inferencing, neural networks, automated reasoning, decision science, adversarial reasoning, user modeling, natural language processing, probabilistic reasoning, and knowledge engineering, verification and validation, protein folding, load balancing, virtual reality, and active user interfaces. He has served on many major conference program committees from intelligent agents to evolutionary computing. He is currently Editor-in-Chief for the IEEE Transactions on Systems, Man, and Cybernetics: Part B, an associate editor for the International Journal of Image and Graphics, and is also on the editorial advisor board for System and Information Sciences Notes.