Abstract
This paper explores the question of whether it's possible to discover a well-defined property of game systems that corresponds to what game designers and players mean by the term "depth." We propose a measurable property of a game's formal system, which we call '<f\ that corresponds to the capacity of a game to absorb dedicated problem-solving attention and allow for sustained, long-term learning. To define this property we develop a formal model that measures how susceptible a game is to partial solutions under conditions of steadily increasing computational resources. We then sketch out several directions for using the model to investigate questions about the structural properties of games that produce these effects.
Original language | English (US) |
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Title of host publication | WS-17-01 |
Subtitle of host publication | Artificial Intelligence and Operations Research for Social Good; WS-17-02: Artificial Intelligence, Ethics, and Society; WS-17-03: Artificial Intelligence for Connected and Automated Vehicles; WS-17-04: Artificial Intelligence for Cyber Security; WS-17-05: Artificial Intelligence for Smart Grids and Buildings; WS-17-06: Computer Poker and Imperfect Information Games; WS-17-07: Crowdsourcing, Deep Learning and Artificial Intelligence Agents; WS-17-08: Distributed Machine Learning; WS-17-09: Joint Workshop on Health Intelligence; WS-17-10: Human-Aware Artificial Intelligence; WS-17-11: Human-Machine Collaborative Learning; WS-17-12: Knowledge-Based Techniques for Problem Solving and Reasoning; WS-17-13: Plan, Activity, and Intent Recognition; WS-17-14: Symbolic Inference and Optimization; WS-17-15: What's Next for AI in Games? |
Publisher | AI Access Foundation |
Pages | 967-974 |
Number of pages | 8 |
ISBN (Electronic) | 9781577357865 |
State | Published - 2017 |
Event | 31st AAAI Conference on Artificial Intelligence, AAAI 2017 - San Francisco, United States Duration: Feb 4 2017 → Feb 10 2017 |
Publication series
Name | AAAI Workshop - Technical Report |
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Volume | WS-17-01 - WS-17-15 |
Other
Other | 31st AAAI Conference on Artificial Intelligence, AAAI 2017 |
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Country/Territory | United States |
City | San Francisco |
Period | 2/4/17 → 2/10/17 |
ASJC Scopus subject areas
- Engineering(all)