Johnston, Benjamin
Reports of the AAAI 2011 Conference Workshops
Agmon, Noa (University of Texas at Austin) | Agrawal, Vikas (Infosys Labs) | Aha, David W. (Naval Research Laboratory) | Aloimonos, Yiannis (University of Maryland, College Park) | Buckley, Donagh (EMC) | Doshi, Prashant (University of Georgia) | Geib, Christopher (University of Edinburgh) | Grasso, Floriana (University of Liverpool) | Green, Nancy (University of North Carolina Greensboro) | Johnston, Benjamin (University of Technology, Sydney) | Kaliski, Burt (VeriSign, Inc.) | Kiekintveld, Christopher (University of Texas at El Paso) | Law, Edith (Carnegie Mellon University) | Lieberman, Henry (Massachusetts Institute of Technology) | Mengshoel, Ole J. (Carnegie Mellon University) | Metzler, Ted (Oklahoma City University) | Modayil, Joseph (University of Alberta) | Oard, Douglas W. (University of Maryland, College Park) | Onder, Nilufer (Michigan Technological University) | O'Sullivan, Barry (University College Cork) | Pastra, Katerina (Cognitive Systems Research Insitute) | Precup, Doina (McGill University) | Ramachandran, Sowmya (Stottler Henke Associates, Inc.) | Reed, Chris (University of Dundee) | Sariel-Talay, Sanem (Istanbul Technical University) | Selker, Ted (Carnegie Mellon University) | Shastri, Lokendra (Infosys Technologies Ltd.) | Smith, Stephen F. (Carnegie Mellon University) | Singh, Satinder (University of Michigan at Ann Arbor) | Srivastava, Siddharth (University of Wisconsin, Madison) | Sukthankar, Gita (University of Central Florida) | Uthus, David C. (Naval Research Laboratory) | Williams, Mary-Anne (University of Technology, Sydney)
The AAAI-11 workshop program was held Sunday and Monday, August 7–18, 2011, at the Hyatt Regency San Francisco in San Francisco, California USA. The AAAI-11 workshop program included 15 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were Activity Context Representation: Techniques and Languages; Analyzing Microtext; Applied Adversarial Reasoning and Risk Modeling; Artificial Intelligence and Smarter Living: The Conquest of Complexity; AI for Data Center Management and Cloud Computing; Automated Action Planning for Autonomous Mobile Robots; Computational Models of Natural Argument; Generalized Planning; Human Computation; Human-Robot Interaction in Elder Care; Interactive Decision Theory and Game Theory; Language-Action Tools for Cognitive Artificial Agents: Integrating Vision, Action and Language; Lifelong Learning; Plan, Activity, and Intent Recognition; and Scalable Integration of Analytics and Visualization. This article presents short summaries of those events.
Reports of the AAAI 2011 Conference Workshops
Agmon, Noa (University of Texas at Austin) | Agrawal, Vikas (Infosys Labs) | Aha, David W. (Naval Research Laboratory) | Aloimonos, Yiannis (University of Maryland, College Park) | Buckley, Donagh (EMC) | Doshi, Prashant (University of Georgia) | Geib, Christopher (University of Edinburgh) | Grasso, Floriana (University of Liverpool) | Green, Nancy (University of North Carolina Greensboro) | Johnston, Benjamin (University of Technology, Sydney) | Kaliski, Burt (VeriSign, Inc.) | Kiekintveld, Christopher (University of Texas at El Paso) | Law, Edith (Carnegie Mellon University) | Lieberman, Henry (Massachusetts Institute of Technology) | Mengshoel, Ole J. (Carnegie Mellon University) | Metzler, Ted (Oklahoma City University) | Modayil, Joseph (University of Alberta) | Oard, Douglas W. (University of Maryland, College Park) | Onder, Nilufer (Michigan Technological University) | O' (University College Cork) | Sullivan, Barry (Cognitive Systems Research Insitute) | Pastra, Katerina (McGill University) | Precup, Doina (Stottler Henke Associates, Inc.) | Ramachandran, Sowmya (University of Dundee) | Reed, Chris (Istanbul Technical University) | Sariel-Talay, Sanem (Carnegie Mellon University) | Selker, Ted (Infosys Technologies Ltd.) | Shastri, Lokendra (Carnegie Mellon University) | Smith, Stephen F. (University of Michigan at Ann Arbor) | Singh, Satinder (University of Wisconsin, Madison) | Srivastava, Siddharth (University of Central Florida) | Sukthankar, Gita (Naval Research Laboratory) | Uthus, David C. (University of Technology, Sydney) | Williams, Mary-Anne
The AAAI-11 workshop program was held Sunday and Monday, August 7–18, 2011, at the Hyatt Regency San Francisco in San Francisco, California USA. The AAAI-11 workshop program included 15 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were Activity Context Representation: Techniques and Languages; Analyzing Microtext; Applied Adversarial Reasoning and Risk Modeling; Artificial Intelligence and Smarter Living: The Conquest of Complexity; AI for Data Center Management and Cloud Computing; Automated Action Planning for Autonomous Mobile Robots; Computational Models of Natural Argument; Generalized Planning; Human Computation; Human-Robot Interaction in Elder Care; Interactive Decision Theory and Game Theory; Language-Action Tools for Cognitive Artificial Agents: Integrating Vision, Action and Language; Lifelong Learning; Plan, Activity, and Intent Recognition; and Scalable Integration of Analytics and Visualization. This article presents short summaries of those events.
An Interface for Crowd-Sourcing Spatial Models of Commonsense
Johnston, Benjamin (University of Technology, Sydney)
Commonsense is a challenge not only for representation and reasoning but also for large scale knowledge engineering required to capture the breadth of our "everyday" world. One approach to knowledge engineering is to "outsource" the effort to the public through games that generate structured commonsense knowledge from user play. To date, such games have focused on symbolic and textual knowledge. However, an effective commonsense reasoning system will require spatial and physical reasoning capabilities. In this paper, I propose a tool for gathering commonsense information from ordinary people. It is a user-friendly 3D sculpting tool for modeling and annotating models of physical objects and spaces.
Conservative and Reward-driven Behavior Selection in a Commonsense Reasoning Framework
Johnston, Benjamin (University of Technology, Sydney) | Williams, Mary-Anne (University of Technology, Sydney)
Comirit is a framework for commonsense reasoning that combines simulation, logical deduction and passive machine learning. While a passive, observation-driven approach to learning is safe and highly conservative, it is limited to inte-raction only with those objects that it has previously ob-served. In this paper we describe a preliminary exploration of methods for extending Comirit to allow safe action selection in uncertain situations, and to allow reward-maximizing selection of behaviors.