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Robin Douglas Burke Associate Professor
Robin Douglas Burke Associate Professor

... University of Chicago, Department of Computer Science. Research Scientist, 1996-1998 Visiting Assistant Professor, 1993-1996 Courses Taught: (* indicates courses developed) California State University, Fullerton Advanced Software Development with Web Applications.* Visual Basic design and developmen ...
CS 460: Artificial Intelligence
CS 460: Artificial Intelligence

... • The right thing: That which is expected to maximize the expected return • Provides the most general view of AI because it includes: ...
CS 561a: Introduction to Artificial Intelligence
CS 561a: Introduction to Artificial Intelligence

... • The right thing: That which is expected to maximize the expected return • Provides the most general view of AI because it includes: ...
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... • The right thing: That which is expected to maximize the expected return • Provides the most general view of AI because it includes: ...
CV - Jeff Clune
CV - Jeff Clune

... features learned by each neuron in deep neural networks. ICML Workshop on Visualization for Deep Learning. Also selected for oral presentation. 2016: La Recherche Award for research advance in information technology. 2016: Best Student Video, AAAI Video Awards. For “Deep Neural Networks are Easily F ...
session01
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... • The right thing: That which is expected to maximize the expected return • Provides the most general view of AI because it includes: ...
Claims and Challenges in Evaluating Human
Claims and Challenges in Evaluating Human

... many flaws: it is informal, imprecise, and is not designed for easy replication. Moreover, it tests only a subset of characteristics normally associated with intelligence, and it does not have a set of incremental challenges that can pull science forward (Cohen, 2005). As a result, none of the major ...
SIGNPOSTING: AN AI APPROACH TO SUPPORTING HUMAN
SIGNPOSTING: AN AI APPROACH TO SUPPORTING HUMAN

... As well as being used for retrieving cases for adaptive design using casebased reasoning (Göker, 1999), networks of dependencies between parameters have been used for computing task networks for activity planning. Petri net models. McMahon and Xianyi (1996) use petri nets (essentially, directed grap ...
Cognitive Systems: Argument and Cognition
Cognitive Systems: Argument and Cognition

... abandon any logical form for human reasoning, treating it as the application of specialized procedures, invoked naturally depending on the situation in which people find themselves. Earlier work demonstrated empirically that humans perform with significant variation in successfully drawing conclusio ...
CogSketch: Sketch Understanding for Cognitive Science Research
CogSketch: Sketch Understanding for Cognitive Science Research

... We want CogSketch to model the perceptual, spatial, and conceptual understanding that people bring to sketching. Our key hypotheses are as follows: Hypothesis: Perceptual processing produces qualitative spatial representations. Qualitative representations quantize continuous properties, making meani ...
An Integrated Tool for Enhancement of Artificial Intelligence
An Integrated Tool for Enhancement of Artificial Intelligence

... sequences of actions) to achieve desired goals. Natural language processing, uncertainty reasoning, computer vision, and speech processing are all essential components of rational agent design, and machine learning techniques are introduced so that the agent can improve performance on any task with ...
Introduction to Computer Vision
Introduction to Computer Vision

... Computer vision is the science of endowing computers or other machines with vision, or the ability to see. But what exactly does it mean to see? Most computer vision scientists would agree that seeing is more than the process of recording light in a form that can be played back, like the recording ...
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X - Natural Language Processing Lab., Korea University

... control, nuclear reactor operations, and weapon systems. ...
Future Computing and Robotics: A Report from the HBP Foresight Lab
Future Computing and Robotics: A Report from the HBP Foresight Lab

... addressing highly scalable computational challenges, the use of hierarchical storage-class memory to increase available memory by more than an order of magnitude per core, and the realisation of interactive supercomputing at the exascale level, in particular interactive computational steering, visua ...
07_Artificial_Intelligence-ProblemSolvingMethods
07_Artificial_Intelligence-ProblemSolvingMethods

... • A parameter which should receive a value in the next propose step is nondeterministically selected: – The selection process does not make further assumptions about knowledge that could guide this second selection step – The implicit assumption is that this selection does not a affect the performan ...
Author template for journal articles
Author template for journal articles

... artificial. The scientific approach would then be to generalize this mechanism to multicellular organisms (Varela, 1979), and thus to human beings, the mind, and social cognition (De Jaegher & Di Paolo, 2007). At each level, there is a difference linked to the aspects associated with the notions of ...
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07_Intelligent_Systems-ProblemSolvingMethods - Teaching-WIKI

... • A parameter which should receive a value in the next propose step is nondeterministically selected: – The selection process does not make further assumptions about knowledge that could guide this second selection step – The implicit assumption is that this selection does not a affect the performan ...
Keonwook Kim - Mercer University
Keonwook Kim - Mercer University

... Executive Committee of House of Delegates (University) 2013 to 2014 House of Delegates (University) 2013 to 2014 ECE Faculty Search Committee (School) 2013 to 2014 ECE Faculty Search Committee (School) 2012 to 2013 Ad hoc committee to explore learning communities in Math/Physics/Engineering to impro ...
A World Championship Caliber Checkers Program
A World Championship Caliber Checkers Program

... sibilities for achieving significant results that have been too complex to achieve in computer chess. In August 1990, Chinook competed in its first two human checkers tournaments, winning the Mississippi State Open (undefeated, winning 3 games against Grandmasters), and coming second in the U.S. Nat ...
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... • Banff International Research Station for Mathematical Innovation and Discovery, Workshop on Search in Constraint Programming, Banff, AB, Canada, 2009 • McGill University, SoCS Colloquium, Montreal, QC, Canada, 2009 • University of British Columbia (UBC), Laboratory of Computational Intelligence (L ...
2006 AAAI Spring Symposium Series
2006 AAAI Spring Symposium Series

... five years. However, after years of intensive research and impressive scientific results, what the SW now really needs is real-world use cases, in order to demonstrate its added (business) value. Moreover, the full application potential of some SW technologies, like semantic web services and rules h ...
Principles of Artificial Intelligence
Principles of Artificial Intelligence

... AI and other disciplines ƒ Much of AI can be viewed as a subfield of CS ƒ Much of CS can be viewed as a subfield of AI ƒ AI shares many of the concerns of cognitive science, psychology, epistemology, neuroscience, linguistics, and social sciences ƒ AI has been (until recently) unique in its use of a ...
artificial intelligence (AI)
artificial intelligence (AI)

... Logical reasoning and problem solving The ability to reason logically is an important aspect of intelligence and has always been a major focus of AI research. An important landmark in this area was a theorem-proving program written in 1955–56 by Allen Newell and J. Clifford Shaw of the RAND Corporat ...
A client-server computational tool for integrated artificial intelligence
A client-server computational tool for integrated artificial intelligence

... all combinations of moves and thus require substantial processing time and computer memory. AI planning techniques are taught in this class that use principles of logic and constraint satisfaction to more efficiently generate a sequence of actions to achieve a goal. In this case, the goal is to grab ...
MLC Board Meeting 45/17/03
MLC Board Meeting 45/17/03

... University of Oregon; served as Head of the Computer Science Department at the University of Oregon for six years. ...
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Human-Computer Interaction Institute

The Human-Computer Interaction Institute (HCII) is a department within the School of Computer Science at Carnegie Mellon University (CMU) in Pittsburgh, Pennsylvania. It is considered one of the leading centers of human-computer interaction research,and was named one of the top ten most innovative schools in information technology by Computer World in 2008. For the past three decades, the institute has been the predominant publishing force at leading HCI venues, most notably ACM CHI, where it regularly contributes more than 10% of the papers. Research at the institute aims to understand and create technology that harmonizes with and improves human capabilities by integrating aspects of computer science, design, social science, and learning science.HCII offers Human Computer Interaction (HCI) as an additional major for undergraduates, as well as a master's degree and PhDs in HCI. Students from various academic backgrounds come together from around the world to participate in this program. Students hold undergraduate degrees in psychology, design, and computer science, as well as many others. Students enter the program at various stages in their academic and professional careers. HCII research and educational programs span a full cycle of knowledge creation. The cycle includes research on how people work, play, and communicate within groups, organizations, and social structures. It includes the design, creation, and evaluation of technologies and tools to support human and social activities.
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