Presentations and Authors


Last name A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Track:
 

Bridging the Gap between Task and Motion Planning

Motion Planning Algorithms for Autonomous Intersection Management PDF
Tsz-Chiu Au, Peter Stone
Integrating Task and Motion Planning Using Semantic Attachments PDF
Christian Dornhege, Patrick Eyerich, Thomas Keller, Michael Brenner, Bernhard Nebel
Dynamic Execution of Temporally and Spatially Flexible Reactive Programs PDF
Robert T. Effinger, Brian Williams, Andreas Hofmann
A Travel-Time Optimizing Edge Weighting Scheme for Dynamic Re-Planning PDF
Andrew Feit, Lenrik Toval, Raffi Hovagimian, Rachel Greenstadt
Hierarchical Planning in the Now PDF
Leslie Pack Kaelbling, Tomas Lozano-Perez
Closing the Loop between Motion Planning and Task Execution Using Real-Time GPU-Based Planners PDF
Jia Pan, Dinesh Manocha
Hierarchical Planning for Mobile Manipulation PDF
Jason Wolfe, Bhaskara Marthi, Stuart Russell

Collaboratively-Built Knowledge Sources and Artificial Intelligence

Preface PDF
Vivi Nastase, Roberto Navigli, Fei Wu
Treating Expert Knowledge as Common Sense PDF
Henry Lieberman
Can We (and Should We) Make Formal Sense of General Knowledge Expressed in Ordinary Language? PDF
Lenhart Schubert
Learning to Extract Quality Discourse in Online Communities PDF
Michael Robert Brennan, Stacy Wrazien, Rachel Greenstadt
Learning from the Web: Extracting General World Knowledge from Noisy Text PDF
Jonathan Gordon, Benjamin Van Durme, Lenhart K. Schubert
Reducing the Dimensionality of Data Streams using Common Sense PDF
Catherine Havasi, Jason Alonso, Robert Speer
Bridging Common Sense Knowledge Bases with Analogy by Graph Similarity PDF
Yen-Ling Kuo, Jane Yung-jen Hsu
Mixed-Initiative, Entity-Centric Data Aggregation using Assistopedia PDF
Matthew Michelson, Sofus Macskassy, Steve Minton
Constructing Folksonomies by Integrating Structured Metadata with Relational Clustering PDF
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
Approaches for Automatically Enriching Wikipedia PDF
Zareen Saba Syed, Tim Finin
Aligning WordNet Synsets and Wikipedia Articles PDF
Samuel Fernando, Mark Stevenson
Open Mind Common Sense: Crowd-sourcing for Common Sense PDF
Catherine Havasi, Robert Speer, Kenneth Arnold, Henry Lieberman, Jason Alonso, Jesse Moeller

Interactive Decision Theory and Game Theory

Learning to Cooperate in Normal Form Games PDF
Steven Damer, Maria Gini
A Computational Decision Theory for Interactive Assistants PDF
Alan Fern, Prasad Tadepalli
Mathematical Programming Formulations to Compute Steady States in Two-Player Extensive-Form Games PDF
Nicola Gatti, Sofia Ceppi, Fabio Panozzo
Using a Trust Model in Decision Making for Supply Chain Management PDF
Yasaman Haghpanah, Marie desJardins
Teamwork and Coordination under Model Uncertainty in DEC-POMDPs PDF
Jun-young Kwak, Rong Yang, Zhengyu Yin, Matthew E. Taylor, Milind Tambe
Integrating Opponent Models with Monte-Carlo Tree Search in Poker PDF
Marc Ponsen, Geert Gerritsen, Guillaume Chaslot
MCRNR: Fast Computing of Restricted Nash Responses by Means of Sampling PDF
Marc Ponsen, Marc Lanctot, Steven de Jong
Signaling Games with Partially Observable Actions as a Model of Conversational Grounding PDF
Will Thompson, Stefan Kaufmann
Sampling and Updating Higher Order Beliefs in Decision-Theoretic Bargaining Under Uncertainty PDF
Paul Varkey, Piotr Gmytrasiewicz
A Cognitive Hierarchy Model Applied to the Lemonade Game PDF
Michael Wunder, Michael Littman, Michael Kaisers, John Robert Yaros
Maximum Causal Entropy Correlated Equilibria for Markov Games PDF
Brian D. Ziebart, Drew Bagnell, Anind K. Dey

Metacognition for Robust Social Systems

Envisioning a Robust, Scalable Metacognitive Architecture Built on Dimensionality Reduction PDF
Jason Bernardino Alonso, Kenneth C. Arnold, Catherine Havasi
Multiagent Meta-Level Control for Predicting Meteorological Phenomena PDF
Shanjun Cheng, Anita Raja, Victor Lesser
Toward Spoken Dialogue as Mutual Agreement PDF
Susan L. Epstein, Joshua Gordon, Rebecca Passonneau, Tiziana Ligorio
Robotic Self-Models Inspired by Human Development PDF
Justin Wildrick Hart, Brian Scassellati
Metacognition for Detecting and Resolving Conflicts in Operational Policies PDF
Darsana Josyula, Bette Donahue, Matthew McCaslin, Michelle Snowden, Michael Anderson, Timothy Oates, Matthew Schmill, Donald Perlis
Decentralised Metacognition in Context-Aware Autonomic Systems: Some Key Challenges PDF
Catriona Kennedy
Metarepresentational Versus Control Theories of Metacognition PDF
Santiago Arango Munoz
A Human-Inspired Cognitive Architecture Supporting Self Regulated Learning in Problem Solving PDF
Alexei V. Samsonovich
IsisWorld: An Open Source Commonsense Simulator for AI Researchers PDF
Dustin Smith, Bo Morgan

Plan, Activity, and Intent Recognition

Search Performance of Multi-Agent Plan Recognition in a General Model PDF
Bikramjit Banerjee, Landon Kraemer
Towards the Integration of Programming by Demonstration and Programming by Instruction using Golog PDF
Christian Fritz, Yolanda Gil
Handling Looping and Optional Actions in YAPPR PDF
Christopher Geib, Robert Goldman
Plan Libraries for Plan Recognition: Do We Really Know What They Model? PDF
Robert P. Goldman, Froduald Kabanza, Philipe Bellefeuille
Opponent Behaviour Recognition for Real-Time Strategy Games PDF
Froduald Kabanza, Philipe Bellefeuille, Francis Bisson, Abder Rezak Benaskeur, Hengameh Irandoust
Appliance Recognition and Unattended Appliance Detection for Energy Conservation PDF
Shih-Chiang Lee, Gu-Yuan Lin, Wan-Rong Jih, Jane Yung-Jen Hsu
Activity Recognition Based on Home to Home Transfer Learning PDF
Parisa Rashidi, Diane J. Cook
Possibilistic Behavior Recognition in Smart Homes for Cognitive Assistance PDF
Patrice C. Roy, Sylvain Giroux, Bruno Bouchard, Abdenour Bouzouane, Clifton Phua, Andrei Tolstikov, Jit Biswas

Statistical Relational AI

Preface PDF
Kristian Kersting, Stuart Russell, Leslie Pack Kaelbling, Alon Halevy, Sriraam Natarajan, Lilyana Mihalkova
Automatic Inference in BLOG PDF
Nimar S. Arora, Stuart Russell, Erik Sudderth
Relational Learning for Collective Classification of Entities in Images PDF
Anton Chechetka, Denver Dash, Matthai Philipose
Lifted Inference for Relational Continuous Models PDF
Jaesik Choi, David J. Hill, Eyal Amir
Exploiting Logical Structure in Lifted Probabilistic Inference PDF
Vibhav Gogate, Pedro Domingos
Lifted Message Passing for Satisfiability PDF
Fabian Hadiji, Kristian Kersting, Babak Ahmadi
Online Max-Margin Weight Learning with Markov Logic Networks PDF
Tuyen N. Huynh, Raymond J. Mooney
Stochastic Planning and Lifted Inference PDF
Roni Khardon
Leveraging Ontologies for Lifted Probabilistic Inference and Learning PDF
Chloe Marielle Kiddon, Pedro Domingos
Using Structural Motifs for Learning Markov Logic Networks PDF
Stanley Kok, Pedro Domingos
Deep Transfer as Structure Learning in Markov Logic Networks PDF
David Andrew Moore, Andrea Pohoreckyj Danyluk
Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models PDF
Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude Shavlik
Efficient Lifting for Online Probabilistic Inference PDF
Aniruddh Nath, Pedro Domingos
Integrating Structured Metadata with Relational Affinity Propagation PDF
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
Machine Reading: A "Killer App" for Statistical Relational AI PDF
Hoifung Poon, Pedro Domingos
Bayesian Abductive Logic Programs PDF
Sindhu V. Raghavan, Raymond J. Mooney
Declarative Probabilistic Programming for Undirected Graphical Models: Open Up to Scale Up PDF
Sebastian Robert Riedel
An Architectural Approach to Statistical Relational AI PDF
Paul Rosenbloom
Approximate Lifted Belief Propagation PDF
Parag Singla, Aniruddh Nath, Pedro Domingos
Probabilistic Programming for Planning Problems PDF
Ingo Thon, Bernd Gutmann, Guy Van den Broeck

Visual Representations and Reasoning

Reasoning About Sketches Using Context, Domain Knowledge, and Interaction with the User PDF
Aaron Daniel Adler
Visual and Spatial Factors in a Bayesian Reasoning Framework for the Recognition of Intended Messages in Grouped Bar Charts PDF
Richard Burns, Sandra Carberry, Stephanie Elzer
Estimating Quantitative Magnitudes Using Semantic Similarity PDF
Jim Davies, Jonathan Gagne
Design Concerns of Persuasive Feedback System PDF
Wen-Chieh Fang, Jane Yung-jen Hsu
Re-Examining the Mental Imagery Debate with Neuropsychological Data from the Clock Drawing Test PDF
Anupam Guha, Hyungsin Kim, Ellen Do
Verbal Assistance in Tactile-Map Explorations: A Case for Visual Representations and Reasoning PDF
Christopher Habel, Matthias Kerzel, Kris Lohmann
Diagrams as Scaffolds for Abductive Insights PDF
Michael Hans Georg Hoffmann
Designing a Visual Analytic System to Represent Bookmark Sharing Data PDF
Jee Yeon Hwang, Jaeeun Shim-Lee, Heerin Lee
Context-Bounded Refinement Filter Algorithm: Improving Recognizer Accuracy of Handwriting in Clock Drawing Test PDF
Hyungsin Kim, Young Suk Cho, Ellen Yi-Luen Do
Visualization for Structured Constraint Satisfaction Problems PDF
Xingjian Li, Susan L. Epstein
A Fractal Analogy Approach to the Raven's Test of Intelligence PDF
Keith McGreggor, Maithilee Kunda, Ashok Goel
Speculations on Leveraging Graphical Models for Architectural Integration of Visual Representation and Reasoning PDF
Paul Rosenbloom
EMPATHICA: A Computer Support System with Visual Representations for Cognitive-Affective Mapping PDF
Paul Thagard

Workshop on Abstraction, Reformulation, and Approximation

Preface PDF
Gregory Provan, Ashish Sabharwal
Formulating Template Consistency in Inductive Logic Programming as a Constraint Satisfaction Problem PDF
Roman Bartak, Ondrej Kuzelka, Filip Zelezny
Parallel Best-First Search: The Role of Abstraction PDF
Ethan Burns, Sofia Lemons, Wheeler Ruml, Rong Zhou
Reformulation of Global Constraints in Answer Set Programming PDF
Christian Drescher, Toby Walsh
From Unsolvable to Solvable: An Exploration of Simple Changes PDF
Susan L. Epstein, Xi Yun
Toward a Generalization and a Reformulation of Goods in SAT — Preliminary Report PDF
Djamal Habet, Philippe Jegou
Effects of Faulty Knowledge Engineering on Structured Classification Learning PDF
Joshua Jones, Ashok Goel
Approximate Inference for Clusters in Solution Spaces PDF
Lukas Kroc, Ashish Sabharwal, Bart Selman
Evolutionary Tile Coding: An Automated State Abstraction Algorithm for Reinforcement Learning PDF
Stephen Lin, Robert Wright
Automatic Methods for Continuous State Space Abstraction PDF
Steven Loscalzo, Robert Wright
Fast d-DNNF Compilation with sharpSAT PDF
Christian Muise, Sheila McIlraith, J. Christopher Beck, Eric Hsu
Abstracting Markov Networks PDF
Lorenza Saitta, Christel Vrain