General game playing: Difference between revisions
CSV import |
CSV import |
||
| Line 58: | Line 58: | ||
[[Category:Computer science]] | [[Category:Computer science]] | ||
{{No image}} | {{No image}} | ||
__NOINDEX__ | |||
Latest revision as of 13:45, 17 March 2025
General Game Playing[edit]
General Game Playing (GGP) refers to the design of computer systems that can play a wide variety of games effectively without human intervention. Unlike specialized game-playing programs, such as those designed for chess or Go, general game players must be able to understand and play any game given only the rules at runtime.
Overview[edit]
General game playing is a field of artificial intelligence (AI) that focuses on creating systems capable of playing multiple games. These systems must be able to:
- Interpret game rules provided in a formal language.
- Develop strategies to play the game effectively.
- Adapt to new games without prior knowledge.
Game Description Language[edit]
A key component of GGP is the use of a formal language to describe games. The most commonly used language is the Game Description Language (GDL), which allows the specification of:
- Game rules
- Initial game state
- Legal moves
- Goal conditions
GDL is based on first-order logic and is designed to be both human-readable and machine-interpretable.
Architecture of General Game Players[edit]
General game players typically consist of several components:
- **Game Manager**: Parses the game description and manages the game state.
- **Reasoning Engine**: Uses logical reasoning to determine legal moves and predict outcomes.
- **Strategy Module**: Develops strategies using techniques such as Monte Carlo tree search or minimax algorithm.
- **Learning Component**: Adapts strategies based on past performance and opponent behavior.
Challenges in General Game Playing[edit]
GGP presents several challenges, including:
- **Complexity**: Games can vary widely in complexity, requiring flexible and efficient reasoning.
- **Unknown Opponents**: Players must adapt to different opponents with varying strategies.
- **Real-Time Decision Making**: Some games require quick decision-making under time constraints.
Applications[edit]
While primarily a research area, GGP has potential applications in:
Competitions[edit]
The AAAI General Game Playing Competition is a prominent event where researchers test their GGP systems against each other. Participants are given a set of games, and their systems must play these games without prior knowledge.
See Also[edit]
References[edit]
- Love, N., Hinrichs, T., & Genesereth, M. (2008). General Game Playing: Game Description Language Specification. Stanford University.
- Pell, B. (1993). Strategy Generation and Evaluation for Meta-Game Playing. PhD Thesis, University of Cambridge.