Basic Artificial Intelligence Research at the Georgia Institute of Technology

AI research is conducted at a number of academic and research units at the Georgia Institute of Technology. Some of this research is basic in nature, and some has an applied character to it. This article briefly describes basic AI research in the College of Computing at Georgia Tech.

[1]  Ronald C. Arkin Three-dimensional motor schema based navigation , 1989 .

[2]  李幼升,et al.  Ph , 1989 .

[3]  Daryl T. Lawton,et al.  Computational techniques in motion processing , 1987 .

[4]  Janet L. Kolodner,et al.  Using Experience in Clinical Problem Solving: Introduction and Framework , 1987, IEEE Transactions on Systems, Man, and Cybernetics.

[5]  Ronald C. Arkin,et al.  Integrating behavioral, perceptual, and world knowledge in reactive navigation , 1990, Robotics Auton. Syst..

[6]  Ashok K. Goel,et al.  Towards a 'neural' architecture for abductive reasoning , 1988, IEEE 1988 International Conference on Neural Networks.

[7]  Ashok K. Goel,et al.  Abductive explanation: on why the essentials are essential , 1991 .

[8]  J H Rieger,et al.  Processing differential image motion. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[9]  Tod S. Levitt,et al.  Terrain models for an autonomous land vehicle , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[10]  Ekaterini P. Sycara Resolving adversarial conflicts: an approach integration case-based and analytic methods , 1987 .

[11]  Ashok K. Goel,et al.  Functional Representation of Designs and Redesign Problem Solving , 1989, IJCAI.

[12]  Ronald C. Arkin,et al.  Qualitative fault propagation in complex systems , 1990, 29th IEEE Conference on Decision and Control.

[13]  Roger C. Schank,et al.  Question-driven understanding: an integrated theory of story understanding, memory and learning , 1989 .

[14]  D. T. Lawton,et al.  A modular object oriented image understanding environment , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

[15]  Ronald C. Arkin,et al.  Motor Schema — Based Mobile Robot Navigation , 1989, Int. J. Robotics Res..

[16]  Ronald C. Arkin,et al.  Qualitative spatial understanding and reactive control for autonomous robots , 1990, EEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications.

[17]  Michael Redmond,et al.  Distributed Cases for Case-Based Reasoning: Facilitating Use of Multiple Cases , 1990, AAAI.

[18]  Ashok K. Goel,et al.  A task structure for case-based design , 1990, 1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings.

[19]  Ashok K. Goel Grounding case adaptation in causal models , 1991 .

[20]  Janet L. Kolodner,et al.  Extending Problem Solver Capabilities Through Case-Based Inference , 1987 .

[21]  Ashok K. Goel,et al.  Computational Feasibility of Structured Matching , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[22]  Janet L. Kolodner,et al.  A Process Model of Cased-Based Reasoning in Problem Solving , 1985, IJCAI.

[23]  E. Rogers,et al.  Visual protocol collection for the enhancement of the radiological diagnostic process , 1990, [1990] Proceedings of the First Conference on Visualization in Biomedical Computing.

[24]  Daryl T. Lawton,et al.  Processing translational motion sequences , 1983, Comput. Vis. Graph. Image Process..

[25]  Richard E. Cullingford,et al.  Integrating intention and convention to organize problem-solving dialogues , 1989 .

[26]  Janet L. Kolodner,et al.  A schema-based model of adaptive problem-solving , 1989 .

[27]  Kurt P. Eiselt Recovering from Erroneous Inferences , 1987, AAAI.

[28]  Robin R. Murphy,et al.  Mobile Robot Docking Operations in a Manufacturing Environment: Progress in Visual Perceptual Strategies , 1989, Proceedings. IEEE/RSJ International Workshop on Intelligent Robots and Systems '. (IROS '89) 'The Autonomous Mobile Robots and Its Applications.

[29]  Ashok K. Goel,et al.  Analyzing Political Decision Making from an Information-Processing Perspective: JESSE , 1990 .

[30]  Ashok K. Goel,et al.  Integration of case-based reasoning and model-based reasoning for adaptive design problem-solving , 1989 .

[31]  Ronald C. Arkin,et al.  Dynamic replanning for a mobile robot based on internal sensing , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[32]  Tod S. Levitt,et al.  Qualitative Navigation for Mobile Robots , 1990, Artif. Intell..

[33]  Ashok K. Goel,et al.  Complexity in Classificatory Reasoning , 1987, AAAI.

[34]  Janet L. Kolodner,et al.  Reconstructive Memory: A Computer Model , 1983, Cogn. Sci..

[35]  Joel D. Martin Reducing Redundant Learning , 1989, ML.

[36]  Robin R. Murphy,et al.  Autonomous navigation in a manufacturing environment , 1990, IEEE Trans. Robotics Autom..

[37]  Ashwin Ram,et al.  Incremental Learning of Explanation Patterns and Their Indices , 1990, ML.

[38]  Ashok K. Goel,et al.  Representation, organization, and use of topographic models of physical spaces for route planning , 1991, [1991] Proceedings. The Seventh IEEE Conference on Artificial Intelligence Application.

[39]  Janet L. Kolodner,et al.  A unified approach to analogical reasoning , 1989 .

[40]  Richard Granger,et al.  Inference processing and error recovery in sentence understanding , 1989 .

[41]  Ronald C. Arkin,et al.  Reactive inclinometer-based mobile robot navigation , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[42]  A. Ram Knowledge Goals : A Theory of Interestingness Ashwin , 1990 .

[43]  Ashwin Ram,et al.  Decision Models: A Theory of Volitional Explanation , 1990 .

[44]  Ashwin Ram,et al.  AQUA: Asking Questions and Understanding Answers , 1987, AAAI.