aaai 2017 论文列表
The Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, Saturday, February 4-9, 2017, San Francisco, California, USA.
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AI and Multiplayer Games.
AI for Game Spectators: Rise of PPG.
Against Forward Models.
Bridging the Gap Between Computational Narrative and Natural Language Processing.
Cognitively-Grounded Procedural Content Generation.
Back to the Past: Ancient Games as a New AI Frontier.
Formalizing Anthropomorphism Through Games: A Study in Deep Neural Networks.
Rewards Structure in Games: Learning a Compact Representation for Action Space.
Towards Automatically Extracting Story Graphs from Natural Language Stories.
Exploring Efficient Strategies for Minesweeper.
What Does That ?-Block Do? Learning Latent Causal Affordances From Mario Play Traces.
Clyde: A Deep Reinforcement Learning DOOM Playing Agent.
Ethical Considerations for Player Modeling.
Depth in Strategic Games.
AI as Evaluator: Search Driven Playtesting of Modern Board Games.
Multi-Focus Attention Network for Efficient Deep Reinforcement Learning.
BDD-Constrained A* Search: A Fast Method for Solving Constrained DAG Shortest-Path Problems.
Embedding Tarskian Semantics in Vector Spaces.
PDDL+ Planning with Temporal Pattern Databases.
Conditional Term Equivalent Symmetry Breaking for SAT.
Nonlinear Optimization and Symbolic Dynamic Programming for Parameterized Hybrid Markov Decision Processes.
Trusted Machine Learning: Model Repair and Data Repair for Probabilistic Models.
Expressing Probabilistic Graphical Models in RCC.
Open-Universe Weighted Model Counting: Extended Abstract.
TextToHBM: A Generalised Approach to Learning Models of Human Behaviour for Activity Recognition from Textual Instructions.
An AI Planning-Based Approach to the Multi-Agent Plan Recognition Problem (Preliminary Report).
Abstracting from Observation-Equivalent Entities in Human Behavior Modeling.
Monitoring Plan Optimality Using Landmarks and Domain-Independent Heuristics.
Plan Recognition Design.
Deep LSTM-Based Goal Recognition Models for Open-World Digital Games.
Dynamic Goal Recognition Using Windowed Action Sequences.
String Shuffling over a Gap between Parsing and Plan Recognition.
Redesigning Stochastic Environments for Maximized Utility.
Hybrid Activity and Plan Recognition for Video Streams.
Partial Observability in Grammar Based Plan Recognition.
Goal Recognition with Noisy Observations.
Toward Combining Domain Theory and Recipes in Plan Recognition.
A Higher-Order Latent Space Network Model.
Epistemic Specifications and Conformant Planning.
Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation.
On Automated Defeasible Reasoning with Controlled Natural Language and Argumentation.
Context Recognition in Multiple Occupants Situations: Detecting the Number of Agents in a Smart Home Environment with Simple Sensors.
Initial State Prediction in Planning.
T2KG: An End-to-End System for Creating Knowledge Graph from Unstructured Text.
On Inductive Learning of Causal Knowledge for Problem Solving.
Causal Learning versus Reinforcement Learning for Knowledge Learning and Problem Solving.
Knowledge-Based Morphological Classification of Galaxies from Vision Features.
What Is Going On: Utility-Based Plan Selection in BDI Agents.
Learning Knowledge Representation Across Knowledge Graphs.
Artificial Intelligence and Expertise: The Two Faces of the Same Artificial Performance Coin.
Making Robotic Sense of Incomplete Human Instructions in High-Level Programming for Industrial Robotic Assembly.
WikiSeq: Mining Maximally Informative Simple Sequences from Wikipedia.
Collaborative Autonomy through Analogical Comic Graphs.
Semantic Style Creation.
Agent-Based Visualization: A Real-Time Visualization Tool Applied Both to Data and Simulation Outputs.
Learning to Tutor from Expert Demonstrators via Apprenticeship Scheduling.
Adaptive Sample Selection for Hypothesis Falsification.
Active Preference Elicitation for Planning.
Using Options to Accelerate Learning of New Tasks According to Human Preferences.
Stochastic Search In Changing Situations.
"Why Did You Do That?" Explainable Intelligent Robots.
Using Co-Captured Face, Gaze, and Verbal Reactions to Images of Varying Emotional Content for Analysis and Semantic Alignment.
Complete Coverage Planning: Achieving Human Interaction and Maximum Coverage During an Autonomous Robotic Vehicle Navigation of an Unknown Terrain.
Learning to Suggest Phrases.
Understanding and Predicting Multiple Risky Behaviors from Social Media.
Personal Sleep Pattern Visualization via Clustering on Sound Data.
Intelligent and Affectively Aligned Evaluation of Online Health Information for Older Adults.
Multidimensional and Longitudinal Indicators in Population Health.
A Portable Upper Extremity Rehabilitation Device.
"420 Friendly": Revealing Marijuana Use via Craigslist Rental Ads.
AFGuide System to Support Personalized Management of Atrial Fibrillation.
A Deep Multi-Task Learning Approach to Skin Lesion Classification.
Skin Cancer Detection and Tracking Using Data Synthesis and Deep Learning.
Toward A Collaborative AI Framework for Assistive Dementia Care.
Examining Patterns of Influenza Vaccination in Social Media.
Clustering-Aided Approach for Predicting Patient Outcomes with Application to Elderly Healthcare in Ireland.
Event-Based Structural Change Detection in Urban-Scale Contact Network.
Parallel Higher Order Alternating Least Square for Tensor Recommender System.
Scalable Classifiers with ADMM and Transpose Reduction.
Parallel Chromatic MCMC with Spatial Partitioning.
Scalable Score Computation for Learning Multinomial Bayesian Networks over Distributed Data.
Distributed Inexact Damped Newton Method: Data Partitioning and Work-Balancing.
Distributed Hessian-Free Optimization for Deep Neural Network.
Data Driven Resource Allocation for Distributed Learning.
Distributed Weighted Parameter Averaging for SVM Training on Big Data.
Deep Style Match for Complementary Recommendation.
Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network.
Regularization and Learning an Ensemble of RNNs by Decorrelating Representations.
Incorporating Collaborative Ranking Algorithm with Weighted Recursive Autoencoder for Item Recommendation.
Crowdsourcing the Pronunciation of Out-of-Vocabulary Words.
Crowdsourced Continuous Improvement of Medical Speech Recognition.
Crowdsourcing Multimodal Dialog Interactions: Lessons Learned from the HALEF Case.
DeepForest: 3D Hand Pose Estimation Using Deep Network and Random Forest Regression.
Beyond Mechanical Turk: Using Techniques from Meta Learning to Compare Crowdsourcing Platforms Across Languages.
Complementing the Execution of AI Systems with Human Computation.
Real-Time Fashion-Guided Clothing Semantic Parsing: A Lightweight Multi-Scale Inception Neural Network and Benchmark.
Semi-Automated Annotation of Discrete States in Large Video Datasets.
Unsupervised Multi-Manifold Clustering by Learning Deep Representation.
Learning from Graph Neighborhoods Using LSTMs.
Spoofing the Limit Order Book: An Agent-Based Model.
Eqilibrium Approximation Quality of Current No-Limit Poker Bots.
Evolving Adaptive Poker Players for Effective Opponent Exploitation.
Targeted CFR.
Strategic Information Revelation and Commitment in Security Games.
Learning Human-Understandable Strategies.
Combining Incremental Strategy Generation and Branch and Bound Search for Computing Maxmin Strategies in Imperfect Recall Games.
Towards Solving Imperfect Recall Games.
AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games.
Safe and Nested Endgame Solving for Imperfect-Information Games.
Reduced Space and Faster Convergence in Imperfect-Information Games via Regret-Based Pruning.
Solar Decathlon Competition: Towards a Solar-Powered Smart Home.
Data Analytic Policy Design Applied to Energy Conservation in College Dormitories.
An Extension of Network Security Games for Large-Scale Infrastructure Protection.
Comparison of Clustering Techniques for Residential Energy Behavior Using Smart Meter Data.
Fast Electrical Demand Optimization Under Real-Time Pricing.
An Empirical Analysis of Constrained Support Vector Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power.
A Multiagent System Approach to Scheduling Devices in Smart Homes.
Energy Disaggregation Methods for Commercial Buildings Using Smart Meter and Operational Data.
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams.
Qualitative Reasoning about Cyber Intrusions.
A Stackelberg Game Model for Botnet Traffic Exfiltration.
Toward Finding Malicious Cyber Discussions in Social Media.
A Game-Theoretic Approach for Alert Prioritization.
Towards A Multi-Tiered Knowledge-Based System for Autonomous Cloud Security Auditing.
Adapting Honeypot Configurations to Detect Evolving Exploits.
ATOL: A Framework for Automated Analysis and Categorization of the Darkweb Ecosystem.
Collective Classification of Social Network Spam.
Preemptive Detection of Unsafe Motion Liable for Hazard.
Object Contra Context: Dual Local-Global Semantic Segmentation in Aerial Images.
Chance-Constrained Path Planning with Continuous Time Safety Guarantees.
The Meta-Turing Test.
The Formalization of AI Risk Management and Safety Standards.
Modelling Ethical Theories Compactly.
The Off-Switch Game.
Why Teaching Ethics to AI Practitioners Is Important.
Moral Decision Making Frameworks for Artificial Intelligence.
Social Attitudes of AI Rebellion: A Framework.
AAAI: An Argument Against Artificial Intelligence.
Value Alignment or Misalignment - What Will Keep Systems Accountable?
A Value Driven Agent: Instantiation of a Case-Supported Principle-Based Behavior Paradigm.
Preventive Leak Detection for High Pressure Gas Transmission Networks.
Spatially Constrained Geodesign Optimization (GOP) for Improving Agricultural Watershed Sustainability.
Households, The Homeless and Slums Towards a Standard for Representing City Shelter Open Data.
Detection of Money Laundering Groups: Supervised Learning on Small Networks.
Knowledge-Based Provision of Goods and Services for People with Social Needs: Towards a Virtual Marketplace.
The Senior Transportation Problem.
Space-Time Graph Modeling of Ride Requests Based on Real-World Data.
Homelessness Service Provision: A Data Science Perspective.
Inter-Club Kidney Exchange.
Small Representations of Big Kidney Exchange Graphs.
Scalable Approaches to Home Health Care Scheduling Problems with Uncertainty.
