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• Computer Generation of Birds of a Feather Puzzles

  Todd W. Neller, Daniel Ziegler

  9693-9699

  2019-07-17

• A Monte Carlo Tree Search Player for Birds of a Feather Solitaire

  Christian Roberson, Katarina Sperduto

  9700-9705

  2019-07-17

• A Neural Network Approach for Birds of a Feather Solvability Prediction

  Benjamin Sang, Sejong Yoon

  9706-9712

  2019-07-17

• Automatic Generation of Leveled Visual Assessments for Young Learners

  Anjali Singh, Ruhi Sharma Mittal, Shubham Atreja, Mourvi Sharma, Seema Nagar, Prasenjit Dey, Mohit Jain

  9713-9720

  2019-07-17

• Automating Analysis and Feedback to Improve Mathematics Teachers’ Classroom Discourse

  Abhijit Suresh, Tamara Sumner, Jennifer Jacobs, Bill Foland, Wayne Ward

  9721-9728

  2019-07-17

• PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education

  Randi Williams, Hae Won Park, Lauren Oh, Cynthia Breazeal

  9729-9736

  2019-07-17

• A Preliminary Report of Integrating Science and Computing Teaching Using Logic Programming

  Yuanlin Zhang, Jianlan Wang, Fox Bolduc, William G. Murray, Wendy Staffen

  9737-9744

  2019-07-17

• Artificial Intelligence Competencies for Data Science Undergraduate Curricula

  Andrea Danyluk, Scott Buck

  9746-9747

  2019-07-17

• Predicting Unsolvable Deals in the Birds of a Feather Solitaire Game

  Richard Hoshino, Maximilian Kahn

  9748-9749

  2019-07-17

• Model AI Assignments 2019

  Todd W. Neller, Raja Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul Talaga, Christopher Archibald, Adam Summerville, Joseph Osborn, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, Nate Derbinsky, Elena Strange, Marion Neumann, Jonathan Chen, Zac Christensen, Michael Wollowski, Oscar Youngquist

  9751-9753

  2019-07-17

• Designing Preferences, Beliefs, and Identities for Artificial Intelligence

  Vincent Conitzer

  9755-9759

  2019-07-17

• Towards Fluid Machine Intelligence: Can We Make a Gifted AI?

  Ian Davidson, Peter B. Walker

  9760-9764

  2019-07-17

• Relating the Structure of a Problem and Its Explanation

  Eugene C. Freuder

  9765-9769

  2019-07-17

• Labor Division with Movable Walls: Composing Executable Specifications with Machine Learning and Search (Blue Sky Idea)

  David Harel, Assaf Marron, Ariel Rosenfeld, Moshe Vardi, Gera Weiss

  9770-9774

  2019-07-17

• Explainable, Normative, and Justified Agency

  Pat Langley

  9775-9779

  2019-07-17

• Meaningful Explanations of Black Box AI Decision Systems

  Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini

  9780-9784

  2019-07-17

• Building Ethically Bounded AI

  Francesca Rossi, Nicholas Mattei

  9785-9789

  2019-07-17

• Recommender Systems: A Healthy Obsession

  Barry Smyth

  9790-9794

  2019-07-17

• Envisioning AI for K-12: What Should Every Child Know about AI?

  David Touretzky, Christina Gardner-McCune, Fred Martin, Deborah Seehorn

  9795-9799

  2019-07-17

• Learning and the Unknown: Surveying Steps toward Open World Recognition

  T. E. Boult, S. Cruz, A.R. Dhamija, M. Gunther, J. Henrydoss, W.J. Scheirer

  9801-9807

  2019-07-17

• Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward

  Peter Flach

  9808-9814

  2019-07-17

• Abstractive Summarization: A Survey of the State of the Art

  Hui Lin, Vincent Ng

  9815-9822

  2019-07-17

• Is Everything Going According to Plan? Expectations in Goal Reasoning Agents

  Héctor Muñoz-Avila, Dustin Dannenhauer, Noah Reifsnyder

  9823-9829

  2019-07-17

• Borda Count in Collective Decision Making: A Summary of Recent Results

  Jörg Rothe

  9830-9836

  2019-07-17

• Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions

  Victor S. Sheng, Jing Zhang

  9837-9843

  2019-07-17