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    An Experiment in Teaching Cognitive Systems Online 

    Goel, Ashok K.; Joyner, David A. (Georgia Institute of Technology, 2015)
    In Fall 2014 we offered an online course CS 7637 Knowledge-Based Artificial Intelligence: Cognitive Systems (KBAI) to about 200 students as part of the Georgia Tech Online MS in CS program. We incorporated lessons from ...
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    Failure-Driven Learning as Model-Based Self-Redesign 

    Stroulia, Eleni (Georgia Institute of Technology, 1995)
    Learning is a competence fundamental to intelligence. Intelligent agents who solve problems in a realistic environment need to learn in order to improve their performance in terms of the quality of the solutions they ...
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    Jill Watson: A Virtual Teaching Assistant for Online Education 

    Goel, Ashok K.; Polepeddi, Lalith (Georgia Institute of Technology, 2016)
    MOOCs are rapidly proliferating. However, for many MOOCs, the effectiveness of learning is questionable and student retention is low. One recommendation for improving the learning and the retention is to enhance the ...
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    A computational model of suspense for the augmentation of intelligent story generation 

    O'Neill, Brian (Georgia Institute of Technology, 2013-11-18)
    In this dissertation, I present Dramatis, a computational human behavior model of suspense based on Gerrig and Bernardo's de nition of suspense. In this model, readers traverse a search space on behalf of the protagonist, ...
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    Timing multimodal turn-taking in human-robot cooperative activity 

    Chao, Crystal (Georgia Institute of Technology, 2015-04-07)
    Turn-taking is a fundamental process that governs social interaction. When humans interact, they naturally take initiative and relinquish control to each other using verbal and nonverbal behavior in a coordinated manner. ...
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    Integrating reinforcement learning into a programming language 

    Simpkins, Christopher Lee (Georgia Institute of Technology, 2017-06-26)
    Reinforcement learning is a promising solution to the intelligent agent problem, namely, given the state of the world, which action should an agent take to maximize goal attainment. However, reinforcement learning algorithms ...
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    Human-guided task transfer for interactive robots 

    Fitzgerald, Tesca Kate (Georgia Institute of Technology, 2020-07-06)
    Adaptability is an essential skill in human cognition, enabling us to draw from our extensive, life-long experiences with various objects and tasks in order to address novel problems. To date, robots do not have this kind ...
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    Automated iterative game design 

    Zook, Alexander (Georgia Institute of Technology, 2016-12-06)
    Computational systems to model aspects of iterative game design were proposed, encompassing: game generation, sampling behaviors in a game, analyzing game behaviors for patterns, and iteratively altering a game design. ...
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    The role of experience in natural problem solving 

    Kolodner, Janet Lynne (Georgia Institute of Technology, 1986)
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    Interpretation, grounding and imagination for machine intelligence 

    Vedantam, Shanmukha Ramak (Georgia Institute of Technology, 2018-11-08)
    Understanding how to model computer vision and natural language jointly is a long-standing challenge in artificial intelligence. In this thesis, I study how modeling vision and language using semantic and pragmatic ...
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    AuthorMurdock, J. William (3)Stroulia, Eleni (3)Goel, Ashok K. (2)Gregori, Eric (2)Kolodner, Janet Lynne (2)Mahesh, Kavi (2)Ram, Ashwin (2)Ali, Khaled Subhi (1)Amundsen, Thomas Charles (1)Arkin, Ronald C. (1)... View MoreSubject
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