Bridging the Gap between Task and Motion Planning
Motion Planning Algorithms for Autonomous Intersection Management | |
Tsz-Chiu Au, Peter Stone |
Collaboratively-Built Knowledge Sources and Artificial Intelligence
Can We (and Should We) Make Formal Sense of General Knowledge Expressed in Ordinary Language? | |
Lenhart Schubert |
Learning from the Web: Extracting General World Knowledge from Noisy Text | |
Jonathan Gordon, Benjamin Van Durme, Lenhart K. Schubert |
Reducing the Dimensionality of Data Streams using Common Sense | |
Catherine Havasi, Jason Alonso, Robert Speer |
Approaches for Automatically Enriching Wikipedia | |
Zareen Saba Syed, Tim Finin |
Aligning WordNet Synsets and Wikipedia Articles | |
Samuel Fernando, Mark Stevenson |
Open Mind Common Sense: Crowd-sourcing for Common Sense | |
Catherine Havasi, Robert Speer, Kenneth Arnold, Henry Lieberman, Jason Alonso, Jesse Moeller |
Metacognition for Robust Social Systems
Robotic Self-Models Inspired by Human Development | |
Justin Wildrick Hart, Brian Scassellati |
Metacognition for Detecting and Resolving Conflicts in Operational Policies | |
Darsana Josyula, Bette Donahue, Matthew McCaslin, Michelle Snowden, Michael Anderson, Timothy Oates, Matthew Schmill, Donald Perlis |
A Human-Inspired Cognitive Architecture Supporting Self Regulated Learning in Problem Solving | |
Alexei V. Samsonovich |
IsisWorld: An Open Source Commonsense Simulator for AI Researchers | |
Dustin Smith, Bo Morgan |
Statistical Relational AI
Automatic Inference in BLOG | |
Nimar S. Arora, Stuart Russell, Erik Sudderth |
Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models | |
Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude Shavlik |
Approximate Lifted Belief Propagation | |
Parag Singla, Aniruddh Nath, Pedro Domingos |
Visual Representations and Reasoning
Designing a Visual Analytic System to Represent Bookmark Sharing Data | |
Jee Yeon Hwang, Jaeeun Shim-Lee, Heerin Lee |
Workshop on Abstraction, Reformulation, and Approximation
Preface | |
Gregory Provan, Ashish Sabharwal |
Approximate Inference for Clusters in Solution Spaces | |
Lukas Kroc, Ashish Sabharwal, Bart Selman |
Abstracting Markov Networks | |
Lorenza Saitta, Christel Vrain |