25. AAAI 2011: San Francisco, California, USA
Wolfram Burgard, Dan Roth (Eds.): Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, San Francisco, California, USA, August 7-11, 2011. AAAI Press 2011
Constraints, Satisfiability, and Search
- Ozgur Akgun, Ian Miguel, Christopher Jefferson, Alan M. Frisch, Brahim Hnich: Extensible Automated Constraint Modelling.
- Stefan Edelkamp, Peter Kissmann: On the Complexity of BDDs for State Space Search: A Case Study in Connect Four.
- Meir Goldenberg, Nathan R. Sturtevant, Ariel Felner, Jonathan Schaeffer: The Compressed Differential Heuristic.
- Federico Heras, António Morgado, João Marques-Silva: Core-Guided Binary Search Algorithms for Maximum Satisfiability.
- Siddhartha Jain, Ashish Sabharwal, Meinolf Sellmann: A General Nogood-Learning Framework for Pseudo-Boolean Multi-Valued SAT.
- Kalev Kask, Andrew Gelfand, Lars Otten, Rina Dechter: Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models.
- Yat Chiu Law, Jimmy Ho-Man Lee, May Hiu-Chun Woo, Toby Walsh: A Comparison of Lex Bounds for Multiset Variables in Constraint Programming.
- Stefan Szeider: Limits of Preprocessing.
- Gilles Trombettoni, Ignacio Araya, Bertrand Neveu, Gilles Chabert: Inner Regions and Interval Linearizations for Global Optimization.
- Robert J. Woodward, Shant Karakashian, Berthe Y. Choueiry, Christian Bessiere: Solving Difficult CSPs with Relational Neighborhood Inverse Consistency.
- Peter Yap, Neil Burch, Robert C. Holte, Jonathan Schaeffer: Block A*: Database-Driven Search with Applications in Any-Angle Path-Planning.
Knowledge-Based Information Systems
- Qingye Jiang, Guojie Song, Gao Cong, Yu Wang, Wenjun Si, Kunqing Xie: Simulated Annealing Based Influence Maximization in Social Networks.
- Ruijiang Li, Bin Li, Cheng Jin, Xiangyang Xue, Xingquan Zhu: Tracking User-Preference Varying Speed in Collaborative Filtering.
- Jin-Woo Park, Mu-Woong Lee, Jinhan Kim, Seung-won Hwang, Sunghun Kim: CosTriage: A Cost-Aware Triage Algorithm for Bug Reporting Systems.
- Jianke Zhu, Hao Ma, Chun Chen, Jiajun Bu: Social Recommendation Using Low-Rank Semidefinite Program.
Knowledge Representation and Reasoning
- Vaishak Belle, Gerhard Lakemeyer: A Semantical Account of Progression in the Presence of Uncertainty.
- Giuseppe De Giacomo, Maurizio Lenzerini, Riccardo Rosati: Higher-Order Description Logics for Domain Metamodeling.
- Alberto González-Sanchez, Rui Abreu, Hans-Gerhard Groß, Arjan J. C. van Gemund: Spectrum-Based Sequential Diagnosis.
- Víctor Gutiérrez-Basulto, Jean Christoph Jung, Carsten Lutz, Lutz Schröder: A Closer Look at the Probabilistic Description Logic Prob-EL.
- Angelika Kimmig, Guy Van den Broeck, Luc De Raedt: An Algebraic Prolog for Reasoning about Possible Worlds.
- Szymon Klarman, Víctor Gutiérrez-Basulto: Two-Dimensional Description Logics for Context-Based Semantic Interoperability.
- Boris Konev, Roman Kontchakov, Michel Ludwig, Thomas Schneider, Frank Wolter, Michael Zakharyaschev: Conjunctive Query Inseparability of OWL 2 QL TBoxes.
- Anees Mehdi, Sebastian Rudolph: Revisiting Semantics for Epistemic Extensions of Description Logics.
- Judea Pearl, Elias Bareinboim: Transportability of Causal and Statistical Relations: A Formal Approach.
- Magnus Roos, Jörg Rothe, Björn Scheuermann: How to Calibrate the Scores of Biased Reviewers by Quadratic Programming.
- Shirin Sohrabi, Jorge A. Baier, Sheila A. McIlraith: Preferred Explanations: Theory and Generation via Planning.
- Maonian Wu, Dongmo Zhang, Mingyi Zhang: Language Splitting and Relevance-Based Belief Change in Horn Logic.
Machine Learning
- Byron Boots, Geoffrey J. Gordon: An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems.
- Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio: Learning Structured Embeddings of Knowledge Bases.
- Kevin Robert Canini, Thomas L. Griffiths: A Nonparametric Bayesian Model of Multi-Level Category Learning.
- Gheorghe Comanici, Doina Precup: Basis Function Discovery Using Spectral Clustering and Bisimulation Metrics.
- Peng Cui, Fei Wang, Shiqiang Yang, Lifeng Sun: Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization.
- Zhenyong Fu, Zhiwu Lu, Horace Ho-Shing Ip, Yuxin Peng, Hongtao Lu: Symmetric Graph Regularized Constraint Propagation.
- Cuixia Gao, Naiyan Wang, Qi Yu, Zhihua Zhang: A Feasible Nonconvex Relaxation Approach to Feature Selection.
- Andrew B. Goldberg, Xiaojin Zhu, Alex Furger, Jun-Ming Xu: OASIS: Online Active Semi-Supervised Learning.
- George Konidaris, Sarah Osentoski, Philip S. Thomas: Value Function Approximation in Reinforcement Learning Using the Fourier Basis.
- Yu-Feng Li, Zhi-Hua Zhou: Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection.
- Si Liu, Hairong Liu, Longin Jan Latecki, Shuicheng Yan, Changsheng Xu, Hanqing Lu: Size Adaptive Selection of Most Informative Features.
- Zhiwu Lu, Yuxin Peng: Latent Semantic Learning by Efficient Sparse Coding with Hypergraph Regularization.
- Dijun Luo, Chris H. Q. Ding, Heng Huang: Linear Discriminant Analysis: New Formulations and Overfit Analysis.
- Dijun Luo, Chris H. Q. Ding, Heng Huang: Multi-Level Cluster Indicator Decompositions of Matrices and Tensors.
- Francisco S. Melo: Differential Eligibility Vectors for Advantage Updating and Gradient Methods.
- Marion Neumann, Babak Ahmadi, Kristian Kersting: Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation.
- Kyoungup Park, Chunhua Shen, Zhihui Hao, Junae Kim: Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification.
- Jonathan Sorg, Satinder P. Singh, Richard L. Lewis: Optimal Rewards versus Leaf-Evaluation Heuristics in Planning Agents.
- Harry Strange, Reyer Zwiggelaar: A Generalised Solution to the Out-of-Sample Extension Problem in Manifold Learning.
- Jian Tang, Jun Yan, Lei Ji, Ming Zhang, Shaodan Guo, Ning Liu, Xianfang Wang, Zheng Chen: Collaborative Users' Brand Preference Mining across Multiple Domains from Implicit Feedbacks.
- Ke Tang, Rui Wang, Tianshi Chen: Towards Maximizing the Area Under the ROC Curve for Multi-Class Classification Problems.
- Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Okazaki: Fast Newton-CG Method for Batch Learning of Conditional Random Fields.
- Hua Wang, Feiping Nie, Heng Huang: Learning Instance Specific Distance for Multi-Instance Classification.
- Shusen Wang, Xiaotong Yuan, Tiansheng Yao, Shuicheng Yan, Jialie Shen: Efficient Subspace Segmentation via Quadratic Programming.
- Makoto Yamada, Masashi Sugiyama: Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis.
- Yi Yang, Heng Tao Shen, Feiping Nie, Rongrong Ji, Xiaofang Zhou: Nonnegative Spectral Clustering with Discriminative Regularization.
- Dan Zhang, Yan Liu, Richard D. Lawrence, Vijil Chenthamarakshan: Transfer Latent Semantic Learning: Microblog Mining with Less Supervision.
- Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong Huang, Dale Schuurmans: Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions.
- Hui Zhao, Jiuqiang Han, Naiyan Wang, Congfu Xu, Zhihua Zhang: A Fast Spectral Relaxation Approach to Matrix Completion via Kronecker Products.
Multiagent Systems
- Bo An, Milind Tambe, Fernando Ordóñez, Eric Anyung Shieh, Christopher Kiekintveld: Refinement of Strong Stackelberg Equilibria in Security Games.
- Amos Azaria, Zinovi Rabinovich, Sarit Kraus, Claudia V. Goldman: Strategic Information Disclosure to People with Multiple Alternatives.
- Sofia Ceppi, Nicola Gatti, Enrico H. Gerding: Mechanism Design for Federated Sponsored Search Auctions.
- Yiling Chen, Xi Alice Gao, Rick Goldstein, Ian A. Kash: Market Manipulation with Outside Incentives.
- Rajesh Hemant Chitnis, MohammadTaghi Hajiaghayi, Vahid Liaghat: Parameterized Complexity of Problems in Coalitional Resource Games.
- Vincent Conitzer, Toby Walsh, Lirong Xia: Dominating Manipulations in Voting with Partial Information.
- Florin Constantin, Malvika Rao, Chien-Chung Huang, David C. Parkes: On Expressing Value Externalities in Position Auctions.
- Jacob W. Crandall, Asad Ahmed, Michael A. Goodrich: Learning in Repeated Games with Minimal Information: The Effects of Learning Bias.
- Jessica Davies, George Katsirelos, Nina Narodytska, Toby Walsh: Complexity of and Algorithms for Borda Manipulation.
- Nate Derbinsky, John E. Laird: A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task.
- Mingyu Guo: VCG Redistribution with Gross Substitutes.
- John Alexander Hawkin, Robert Holte, Duane Szafron: Automated Action Abstraction of Imperfect Information Extensive-Form Games.
- Sébastien Lahaie: A Kernel-Based Iterative Combinatorial Auction.
- Kathryn Sarah Macarthur, Ruben Stranders, Sarvapali D. Ramchurn, Nicholas R. Jennings: A Distributed Anytime Algorithm for Dynamic Task Allocation in Multi-Agent Systems.
- Liam MacDermed, Karthik Sankaran Narayan, Charles Lee Isbell Jr., Lora Weiss: Quick Polytope Approximation of All Correlated Equilibria in Stochastic Games.
- Talal Rahwan, Tomasz P. Michalak, Edith Elkind, Piotr Faliszewski, Jacek Sroka, Michael Wooldridge, Nicholas R. Jennings: Constrained Coalition Formation.
- Ildikó Schlotter, Piotr Faliszewski, Edith Elkind: Campaign Management under Approval-Driven Voting Rules.
- Sameena Shah, Jayadeva, Ravi Kothari, Suresh Chandra: M-Unit EigenAnt: An Ant Algorithm to Find the M Best Solutions.
- David Robert Martin Thompson, Kevin Leyton-Brown: Dominant-Strategy Auction Design for Agents with Uncertain, Private Values.
- Zhengyu Yin, Manish Jain, Milind Tambe, Fernando Ordóñez: Risk-Averse Strategies for Security Games with Execution and Observational Uncertainty.
- Chongjie Zhang, Victor R. Lesser: Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs.
Multidisciplinary Topics
- Dimitrios Antos, Celso de Melo, Jonathan Gratch, Barbara J. Grosz: The Influence of Emotion Expression on Perceptions of Trustworthiness in Negotiation.
- Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan: Co-Evolution of Selection and Influence in Social Networks.
- Esra Erdem, Yelda Erdem, Halit Erdogan, Umut Öztok: Finding Answers and Generating Explanations for Complex Biomedical Queries.
- Sungjin Lee, Hyungjong Noh, Kyusong Lee, Gary Geunbae Lee: Grammatical Error Detection for Corrective Feedback Provision in Oral Conversations.
- Raz Lin, Sarit Kraus, Noa Agmon, Samuel Barrett, Peter Stone: Comparing Agents' Success against People in Security Domains.
- Martin Michalowski, Mark Boddy, Mike Neilsen: Bayesian Learning of Generalized Board Positions for Improved Move Prediction in Computer Go.
- Wei Pan, Nadav Aharony, Alex Pentland: Composite Social Network for Predicting Mobile Apps Installation.
- Marco Ragni, Sven Brüssow: Human Spatial Relational Reasoning: Processing Demands, Representations, and Cognitive Model.
Natural Language Processing
- David L. Chen, Raymond J. Mooney: Learning to Interpret Natural Language Navigation Instructions from Observations.
- Songjian Chen, Yabo Xu, Huiyou Chang: A Simple and Effective Unsupervised Word Segmentation Approach.
- Jennifer Chu-Carroll, James Fan: Leveraging Wikipedia Characteristics for Search and Candidate Generation in Question Answering.
- Amit Goyal, Hal Daumé III: Lossy Conservative Update (LCU) Sketch: Succinct Approximate Count Storage.
- Tao Liu, Xiaoyong Du, Yong-Dong Xu, Minghui Li, Xiaolong Wang: Partially Supervised Text Classification with Multi-Level Examples.
- Xiaohua Liu, Kuan Li, Ming Zhou, Zhongyang Xiong: Enhancing Semantic Role Labeling for Tweets Using Self-Training.
- Chao Shen, Tao Li, Chris H. Q. Ding: Integrating Clustering and Multi-Document Summarization by Bi-Mixture Probabilistic Latent Semantic Analysis (PLSA) with Sentence Bases.
- Zhongwu Zhai, Bing Liu, Lei Zhang, Hua Xu, Peifa Jia: Identifying Evaluative Sentences in Online Discussions.
Reasoning about Plans, Processes, and Actions
- Ronen I. Brafman, Carmel Domshlak, Yagil Engel, Zohar Feldman: Planning for Operational Control Systems with Predictable Exogenous Events.
- Alexandra Coman, Hector Muñoz-Avila: Generating Diverse Plans Using Quantitative and Qualitative Plan Distance Metrics.
- Tom Erez, Julian J. Tramper, William D. Smart, Stan C. A. M. Gielen: A POMDP Model of Eye-Hand Coordination.
- Christopher W. Geib, Robert P. Goldman: Recognizing Plans with Loops Represented in a Lexicalized Grammar.
- Moritz Göbelbecker, Charles Gretton, Richard Dearden: A Switching Planner for Combined Task and Observation Planning.
- Peter Gregory, Derek Long, Craig McNulty, Susan M. Murphy: Exploiting Path Refinement Abstraction in Domain Transition Graphs.
- Richard Hoshino, Ken-ichi Kawarabayashi: The Inter-League Extension of the Traveling Tournament Problem and its Application to Sports Scheduling.
- Tatsuya Imai, Akihiro Kishimoto: A Novel Technique for Avoiding Plateaus of Greedy Best-First Search in Satisficing Planning.
- Hoang-Khoi Nguyen, Dang-Vien Tran, Tran Cao Son, Enrico Pontelli: On Improving Conformant Planners by Analyzing Domain-Structures.
- Nir Pochter, Aviv Zohar, Jeffrey S. Rosenschein: Exploiting Problem Symmetries in State-Based Planners.
- Siddharth Srivastava, Shlomo Zilberstein, Neil Immerman, Hector Geffner: Qualitative Numeric Planning.
- Florent Teichteil-Königsbuch, Vincent Vidal, Guillaume Infantes: Extending Classical Planning Heuristics to Probabilistic Planning with Dead-Ends.
- Son Thanh To, Tran Cao Son, Enrico Pontelli: Conjunctive Representations in Contingent Planning: Prime Implicates Versus Minimal CNF Formula.
Reasoning under Uncertainty
- Jaesik Choi, Rodrigo de Salvo Braz, Hung H. Bui: Efficient Methods for Lifted Inference with Aggregate Factors.
- Justin Domke: Dual Decomposition for Marginal Inference.
- Andrew Gelfand, Kalev Kask, Rina Dechter: Stopping Rules for Randomized Greedy Triangulation Schemes.
- Chloe Kiddon, Pedro Domingos: Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models.
- Brandon M. Malone, Changhe Yuan, Eric A. Hansen: Memory-Efficient Dynamic Programming for Learning Optimal Bayesian Networks.
- Özgür Sümer, Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu: Fast Parallel and Adaptive Updates for Dual-Decomposition Solvers.
- Yifeng Zeng, Prashant Doshi, Yinghui Pan, Hua Mao, Muthukumaran Chandrasekaran, Jian Luo: Utilizing Partial Policies for Identifying Equivalence of Behavioral Models.
Robotics
- Noa Agmon, Daniel Urieli, Peter Stone: Multiagent Patrol Generalized to Complex Environmental Conditions.
- Robert Cohn, Edmund H. Durfee, Satinder P. Singh: Comparing Action-Query Strategies in Semi-Autonomous Agents.
- Jochen Eisner, Stefan Funke, Sabine Storandt: Optimal Route Planning for Electric Vehicles in Large Networks.
- Paul Vernaza, Daniel D. Lee: Learning Dimensional Descent for Optimal Motion Planning in High-dimensional Spaces.
Special Track on AI and the Web
- Yi Chang, Ruiqiang Zhang, Srihari Reddy, Yan Liu: Detecting Multilingual and Multi-Regional Query Intent in Web Search.
- Weizhu Chen, Zhanglong Ji, Si Shen, Qiang Yang: A Whole Page Click Model to Better Interpret Search Engine Click Data.
- Justin Cranshaw, Jonathan Mugan, Norman M. Sadeh: User-Controllable Learning of Location Privacy Policies With Gaussian Mixture Models.
- Jianfeng Du, Guilin Qi, Yi-Dong Shen, Jeff Z. Pan: Towards Practical ABox Abduction in Large OWL DL Ontologies.
- Alejandro Figueroa, John Atkinson: Maximum Entropy Context Models for Ranking Biographical Answers to Open-Domain Definition Questions.
- Andrew S. Gordon, Cosmin Adrian Bejan, Kenji Sagae: Commonsense Causal Reasoning Using Millions of Personal Stories.
- Luheng He, Nathan Nan Liu, Qiang Yang: Active Dual Collaborative Filtering with Both Item and Attribute Feedback.
- Eirini Kaldeli, Alexander Lazovik, Marco Aiello: Continual Planning with Sensing for Web Service Composition.
- Edith Law, Haoqi Zhang: Towards Large-Scale Collaborative Planning: Answering High-Level Search Queries Using Human Computation.
- Freddy Lécué: Personalizing Your Web Services with Constructive DL Reasoning Join.
- Hengjie Song, Chunyan Miao, Zhiqi Shen: Generating True Relevance Labels in Chinese Search Engine Using Clickthrough Data.
- Nguyen Tuan Duc, Danushka Bollegala, Mitsuru Ishizuka: Cross-Language Latent Relational Search: Mapping Knowledge across Languages.
- Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw: CCRank: Parallel Learning to Rank with Cooperative Coevolution.
- Wei Wei, Gao Cong, Xiaoli Li, See-Kiong Ng, Guohui Li: Integrating Community Question and Answer Archives.
- Shanchan Wu, Tamer Elsayed, William Rand, Louiqa Raschid: Predicting Author Blog Channels with High Value Future Posts for Monitoring.
- Guandong Xu, Yanhui Gu, Peter Dolog, Yanchun Zhang, Masaru Kitsuregawa: SemRec: A Semantic Enhancement Framework for Tag Based Recommendation.
- Lichun Yang, Shenghua Bao, Qingliang Lin, Xian Wu, Dingyi Han, Zhong Su, Yong Yu: Analyzing and Predicting Not-Answered Questions in Community-based Question Answering Services.
- Dawei Yin, Liangjie Hong, Zhenzhen Xue, Brian D. Davison: Temporal Dynamics of User Interests in Tagging Systems.
- Yasuhisa Yoshida, Tsutomu Hirao, Tomoharu Iwata, Masaaki Nagata, Yuji Matsumoto: Transfer Learning for Multiple-Domain Sentiment Analysis - Identifying Domain Dependent/Independent Word Polarity.
- Xianchao Zhang, You Wang, Nan Mou, Wenxin Liang: Propagating Both Trust and Distrust with Target Differentiation for Combating Web Spam.
- Tom Chao Zhou, Chin-Yew Lin, Irwin King, Michael R. Lyu, Young-In Song, Yunbo Cao: Learning to Suggest Questions in Online Forums.
- Yin Zhu, Yuqiang Chen, Zhongqi Lu, Sinno Jialin Pan, Gui-Rong Xue, Yong Yu, Qiang Yang: Heterogeneous Transfer Learning for Image Classification.
Special Track on Computational Sustainability and AI
- Jim Apple, Paul Chang, Aran Clauson, Heidi E. Dixon, Hiba Fakhoury, Matthew L. Ginsberg, Erin Keenan, Alex Leighton, Kevin Scavezze, Bryan Smith: Green Driver: AI in a Microcosm.
- Mark Crowley, David Poole: Policy Gradient Planning for Environmental Decision Making with Existing Simulators.
- Daniel Golovin, Andreas Krause, Beth Gardner, Sarah J. Converse, Steve Morey: Dynamic Resource Allocation in Conservation Planning.
- Rhonda Hoenigman, Elizabeth Bradley, Nichole Barger: Water Conservation Through Facilitation on Residential Landscapes.
- Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Dietterich: Incorporating Boosted Regression Trees into Ecological Latent Variable Models.
- J. Zico Kolter, Joseph Ferreira: A Large-Scale Study on Predicting and Contextualizing Building Energy Usage.
- Katherine J. Lai, Carla P. Gomes, Michael K. Schwartz, Kevin S. McKelvey, David E. Calkin, Claire A. Montgomery: The Steiner Multigraph Problem: Wildlife Corridor Design for Multiple Species.
- Hui Li, Brian Williams: Hybrid Planning with Temporally Extended Goals for Sustainable Ocean Observing.
- Alie El-Din Mady, Gregory Provan, Conor Ryan, Kenneth N. Brown: Stochastic Model Predictive Controller for the Integration of Building Use and Temperature Regulation.
- Steven Phillips, Jane Elith: Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models.
- John Alexander Quinn, Kevin Leyton-Brown, Ernest Mwebaze: Modeling and Monitoring Crop Disease in Developing Countries.
- Prashant P. Reddy, Manuela M. Veloso: Learned Behaviors of Multiple Autonomous Agents in Smart Grid Markets.
- Martin Sachenbacher, Martin Leucker, Andreas Artmeier, Julian Haselmayr: Efficient Energy-Optimal Routing for Electric Vehicles.
- Ganesh Ram Santhanam, Yuly Suvorov, Samik Basu, Vasant Honavar: Verifying Intervention Policies to Counter Infection Propagation over Networks: A Model Checking Approach.
- Naren Sundaravaradan, Debprakash Patnaik, Naren Ramakrishnan, Manish Marwah, Amip Shah: Discovering Life Cycle Assessment Trees from Impact Factor Databases.
- Thomas Voice, Perukrishnen Vytelingum, Sarvapali D. Ramchurn, Alex Rogers, Nicholas R. Jennings: Decentralised Control of Micro-Storage in the Smart Grid.
Special Track on Integrated Intelligence
- David Michael Barbella, Kenneth D. Forbus: Analogical Dialogue Acts: Supporting Learning by Reading Analogies in Instructional Texts.
- Ben Goertzel, Joel Pitt, Jared Wigmore, Nil Geisweiller, Zhenhua Cai, Ruiting Lian, Deheng Huang, Gino Yu: Cognitive Synergy between Procedural and Declarative Learning in the Control of Animated and Robotic Agents Using the OpenCogPrime AGI Architecture.
- Jonathan Yasuo Ito, Stacy Marsella: Contextually-Based Utility: An Appraisal-Based Approach at Modeling Framing and Decisions.
- Su Yan, W. Scott Spangler, Ying Chen: Cross Media Entity Extraction and Linkage for Chemical Documents.
Special Track on New Scientific and Technical Advances in Research
- Saleema Amershi, James Fogarty, Ashish Kapoor, Desney S. Tan: Effective End-User Interaction with Machine Learning.
- Nimar S. Arora, Stuart J. Russell, Paul Kidwell, Erik B. Sudderth: Global Seismic Monitoring: A Bayesian Approach.
- Ronen I. Brafman, Enrico Pilotto, Francesca Rossi, Domenico Salvagnin, Kristen Brent Venable, Toby Walsh: The Next Best Solution.
- Andrea Calì, Georg Gottlob, Andreas Pieris: New Expressive Languages for Ontological Query Answering.
- Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, Ohad Shamir: Quantity Makes Quality: Learning with Partial Views.
- Maithilee Kunda, Keith McGreggor, Ashok K. Goel: Two Visual Strategies for Solving the Raven's Progressive Matrices Intelligence Test.
- Jaeyoung Park, Kee-Eung Kim, Yoon-Kyu Song: A POMDP-Based Optimal Control of P300-Based Brain-Computer Interfaces.
- Jussi Rintanen: Planning with Specialized SAT Solvers.
- Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein: Termination and Correctness Analysis of Cyclic Control.
- Paolo Viappiani, Craig Boutilier: Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff!
- Weng-Keen Wong, Ian Oberst, Shubhomoy Das, Travis Moore, Simone Stumpf, Kevin McIntosh, Margaret M. Burnett: End-User Feature Labeling via Locally Weighted Logistic Regression.
Special Track on Physically Grounded AI
- Brian Coltin, Manuela M. Veloso: Multi-Observation Sensor Resetting Localization with Ambiguous Landmarks.
- George Konidaris, Scott Kuindersma, Roderic A. Grupen, Andrew G. Barto: Autonomous Skill Acquisition on a Mobile Manipulator.
- Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox: A Scalable Tree-Based Approach for Joint Object and Pose Recognition.
- Ifeoma Nwogu, Yingbo Zhou, Christopher Brown: DISCO: Describing Images Using Scene Contexts and Objects.
- Stephanie Rosenthal, Manuela M. Veloso, Anind K. Dey: Learning Accuracy and Availability of Humans Who Help Mobile Robots.
- Stefanie Tellex, Thomas Kollar, Steven Dickerson, Matthew R. Walter, Ashis Gopal Banerjee, Seth J. Teller, Nicholas Roy: Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation.
- Zhikun Wang, Abdeslam Boularias, Katharina Mülling, Jan Peters: Balancing Safety and Exploitability in Opponent Modeling.
AAAI / SIGART Doctoral Consortium
- Forrest Sheng Bao: The AC(C) Language: Integrating Answer Set Programming and Constraint Logic Programming.
- Niyati Chhaya: Joint Inference for Extracting Text Descriptors from Triage Images of Mass Disaster Victims.
- Nate Derbinsky: Long-Term Declarative Memory for Generally Intelligent Agents.
- Hoda Eldardiry: Ensemble Classification for Relational Domains.
- Benjamin M. Gordon: Developing a Language for Spoken Programming.
- Yasaman Haghpanah: A Probabilistic Trust and Reputation Model for Supply Chain Management.
- Rhonda Hoenigman: Designing Water Efficient Residential Landscapes with Agent-Based Modeling.
- Annie Priyadarshini Louis: Predicting Text Quality for Scientific Articles.
- Liam MacDermed: Scaling Up Game Theory: Achievable Set Methods for Efficiently Solving Stochastic Games of Complete and Incomplete Information.
- Nir Pochter: Pruning Techniques in Search and Planning.
- Srinath Ravindran: Learning with Imprecise Classes, Rare Instances, and Complex Relationships.
- Marc Spraragen: Modeling the Effects of Emotion on Cognition.
- Jeremy Stober: Learning Sensor, Space and Object Geometry.
- Jens Witkowski: Incentive-Compatible Trust Mechanisms.
Student Abstracts and Posters
- Chris Colin Baillie, Peter Edwards, Edoardo Pignotti: Assessing Quality in the Web of Linked Sensor Data.
- Forrest Sheng Bao, Zhizheng Zhang, Yuanlin Zhang: Medical Treatment Conflict Resolving in Answer Set Programming.
- Navid Bazzazzadeh, Benedikt Brors, Roland Eils: Reconstructing the Stochastic Evolution Diagram of Dynamic Complex Systems.
- Francis Bisson, Froduald Kabanza, Abder Rezak Benaskeur, Hengameh Irandoust: Provoking Opponents to Facilitate the Recognition of their Intentions.
- Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan: Dynamic Batch Mode Active Learning via L1 Regularization.
- Jessica Elan Chung, Eni Mustafaraj: Can Collective Sentiment Expressed on Twitter Predict Political Elections?
- Christian Drescher, Toby Walsh: Conflict-Driven Constraint Answer Set Solving with Lazy Nogood Generation.
- Yolanda E.-Martín, María Dolores Rodríguez-Moreno, David E. Smith: Probabilistic Plan Graph Heuristic for Probabilistic Planning.
- Katsuhide Fujita, Takayuki Ito, Mark Klein: Efficient Issue-Grouping Approach for Multi-Issues Negotiation between Exaggerator Agents.
- Jian Gao, Minghao Yin, Junping Zhou: Hybrid Tractable Classes of Binary Quantified Constraint Satisfaction Problems.
- Aman Goel, Craig A. Knoblock, Kristina Lerman: Using Conditional Random Fields to Exploit Token Structure and Labels for Accurate Semantic Annotation.
- Ting Guo, Zhanshan Li, Ruizhi Guo, Xingquan Zhu: Large Scale Diagnosis Using Associations between System Outputs and Components.
- Yanmei Hu, Minghao Yin, Dunbo Cai: On the Discovery and Utility of Precedence Constraints in Temporal Planning.
- Daniel Andrew Huntley, Vadim Bulitko: Extending the Applications of Recent Real-Time Heuristic Search.
- I-Hong Jhuo, D. T. Lee: Multiple-Instance Learning: Multiple Feature Selection on Instance Representation.
- Michael Joya: An Event-Based Framework for Process Inference.
- Philip Koonce, Vasha Dutell, Jose Farrington, Vladimir Sukhoy, Alexander Stoytchev: Toward Learning to Solve Insertion Tasks: A Developmental Approach Using Exploratory Behaviors and Proprioception.
- Levi Lelis, Sandra Zilles, Robert C. Holte: Time Complexity of Iterative-Deepening A*: The Informativeness Pathology (Abstract).
- Guohua Liang, Xingquan Zhu, Chengqi Zhang: An Empirical Study of Bagging Predictors for Different Learning Algorithms.
- Bogdan Pogorelc: An Intelligent System for Prolonging Independent Living of Elderly.
- Crystal Redman: Web Personalization and Cohort Information Services for Natural Resource Managers.
- Ethan L. Schreiber, Richard E. Korf: Using Partitions and Superstrings for Lossless Compression of Pattern Databases.
- Son Thanh To, Tran Cao Son, Enrico Pontelli: On the Effectiveness of Belief State Representation in Contingent Planning.
- Nikolaos Tziortziotis, Konstantinos Blekas: A Bayesian Reinforcement Learning framework Using Relevant Vector Machines.
- Ko-Hsin Cindy Wang, Adi Botea, Philip Kilby: Solution Quality Improvements for Massively Multi-Agent Pathfinding.
- Zhikun Wang, Abdeslam Boularias, Katharina Mülling, Jan Peters: Modeling Opponent Actions for Table-Tennis Playing Robot.
- Robert J. Woodward, Shant Karakashian, Berthe Y. Choueiry, Christian Bessiere: Adaptive Neighborhood Inverse Consistency as Lookahead for Non-Binary CSPs.
- Fan Xie, Hootan Nakhost, Martin Müller: A Local Monte Carlo Tree Search Approach in Deterministic Planning.
- Xiaoxi Xu: Discovering Latent Strategies.
Robotics Program
- Baris Akgun, Kaushik Subramanian, Jaeeun Shim, Andrea Lockerd Thomaz: Learning Tasks and Skills Together From a Human Teacher.
- Zachary Dodds: Can Quadrotors Succeed as an Educational Platform?
- Michael Ferguson, Kim Gero, Joao Salles, James Weis: Playing Chess with a Human-Scale Mobile Manipulator.
- Stephan Goebel, Ruben Jubeh, Simon-Lennert Raesch: A Robotics Environment for Software Engineering Courses.
- Michael Lanighan, Jerod Sikorskyj, Debra T. Burhans, Robert Selkowitz: Lego Plays Chess: A Low-Cost, Low-Complexity Approach to Intelligent Robotics.
- Juan Pablo Munoz, Arif T. Ozgelen, Elizabeth Sklar: Learning from Demonstration in Spatial Exploration.
- Arif T. Ozgelen, Michael Costantino, Adiba Ishak, Moses Kingston, Diquan Moore, Samuel Sanchez, Juan Pablo Munoz, Simon Parsons, Elizabeth Sklar: Approaches to Multi-Robot Exploration and Localization.
- Kim Wheeler, Robin Knight, Collin Horvat, Daniel Packard, Casey Kuhns, Brent Wilkins, Robert Shiely: Hekateros: A Desktop 5 Degree-of-Freedom Robot Arm for the Small-Scale Manipulation Robot Chess Challenge.
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last updated on 2013-06-19T201401 by the dblp team