Phoster

Research and Development

Category: Artificial Intelligence

Training and Testing Artificial Intelligence Systems in Simulations and Game Environments

  1. Introduction
  2. Comparative Cognition
  3. Psychometrics
  4. Collective Intelligence
  5. Simulations and Game Environments
  6. Machine Teaching
  7. Intelligent Tutoring Systems and Interactive Narrative
  8. Automatic Item Generation and Procedural Content Generation
  9. Item Response Theory and Content Evaluation
  10. Inspecting and Modeling Artificial Intelligence Systems
  11. Event Processing
  12. Conclusion

Machines Teaching Machines to Solve IQ Test Items

  1. Introduction
  2. Psychometric Artificial Intelligence
  3. Machine Teaching
  4. Item Generation and Evaluation
  5. The Assessment and Development of Cognition
  6. Conclusion

Machine Teaching

  1. Introduction

Psychometric Artificial Intelligence

  1. Natural Intelligence
  2. Artificial Intelligence

Artificial Wisdom

  1. Introduction
  2. Conversational Search and Recommendation
  3. Anecdotes
  4. Proverbs
  5. Quotations
  6. Lyrics
  7. Poetry
  8. Narrative
  9. Allusion
  10. Humor

Artificial Intelligence and Music

  1. Introduction
  2. Aesthetics
  3. Emotion
  4. Athletic Performance
  5. Productivity
  6. Creativity
  7. Flow
  8. Studying and Concentration
  9. Problem Solving
  10. Intelligent Tutoring Systems
  11. Affective Computing
  12. Computational Representation of Music
  13. Music Understanding
  14. Music Generation
  15. Recommender Systems
  16. Playlist Generation

Artificial Intelligence and Mathematics

  1. Introduction
  2. Knowledge Representation and Reasoning
  3. Theorem Proving

Abductive Reasoning and Interpretation

  1. Abductive Reasoning
  2. Incremental Interpretation
  3. Natural Language
  4. Social Cognition
  5. Argumentation

Observational Learning

  1. Introduction
  2. Programming by Demonstration
  3. Interactive Task Learning
  4. Multi-agent Systems

Reinforcement Learning

  1. Introduction
  2. Multi-armed Bandits
  3. Markov Decision Processes
  4. Learning Automata
  5. Dynamic Programming
  6. Monte Carlo Methods
  7. Temporal-difference Learning
  8. Multi-step Bootstrapping
  9. Exploration versus Exploitation
  10. Function Approximation
  11. Policy Optimization
  12. Simulation
  13. Planning
  14. Multi-objective
  15. Multi-agent
  16. Deep Reinforcement Learning