Errare humanum est?: a pilot study to evaluate the human-likeness of a AI othello playing agent.
Enrico LaulettaBéatrice BiancardiAntonio NorelliMaurizio ManciniAlessandro PanconesiPublished in: IVA (2022)
Keyphrases
- pilot study
- human players
- game playing
- evaluation function
- computer games
- board game
- temporal difference learning
- game tree
- minimax search
- opponent modeling
- video games
- game play
- imperfect information
- multi agent systems
- pilot project
- world class
- temporal difference
- multi agent
- game tree search
- human users
- game design
- machine learning
- neural network
- computer programs
- urban planning
- decision making
- action selection
- expert systems
- search space
- attitudes toward