One-Player Game

Context:
- It can range from being a One-Player Sequential Strategy Game to being a One-Player Simultaneous Game.
- It can range from being a Cooperative One-Player Game to being a Competitive One-Player Game.
- It can range from being a Zero-Sum One-Player Game to being a Non-Zero-Sum One-Player Game.
- It can range from being a Complete Information One-Player Game to being an Incomplete Information One-Player Game.
- It can range from being a Perfect Information One-Player Game to being an Imperfect Information One-Player Game.
- It can range from being an Abstract One-Player Game to being a Real World-like One-Player Game.
- It can be solved by a Strategy One-Player Game Playing System (that implements a Strategy One-Player Game Playing Algorithm).
- It can be played during a Game of One-Player Strategy Playing Task.
- …
Example(s):
- a Rubiks Cube Game, such as a timed game.
- a Single-Player Card Game, such as Solitare.
- a Single-Player Video Game, such as Alienation.
- a Surfing.
- …
Counter-Example(s):
- Two-Player Game.
- Multi-Player Game. such as an economic marketplace.
See: Formal Game, Decision Theory, Game Theory, Nature as Adversary.

References

(Genesereth & Thielscher, 2014) ⇒ Michael Genesereth, and Michael Thielscher. (2014). “General Game Playing.” In: Synthesis Lectures on Artificial Intelligence and Machine Learning Journal, March 2014.In: Synthesis Lectures on Artificial Intelligence and Machine Learning Journal, March 2014. doi:10.2200/S00564ED1V01Y201311AIM02
- QUOTE:
  - 5 Small Single-Player Games p.43
  - 15 Solving Single-Player Games with Logic p.151
  - 15.3 Solving Single-Player Games with Answer Set Programming p.156

http://levine.sscnet.ucla.edu/general/whatis.htm
- QUOTE: Decision theory can be viewed as a theory of one person games, or a game of a single player against nature. The focus is on preferences and the formation of beliefs. The most widely used form of decision theory argues that preferences among risky alternatives can be described by the maximization of the expected value of a numerical utility function, where utility may depend on a number of things, but in situations of interest to economists often depends on money income. Probability theory is heavily used in order to represent the uncertainty of outcomes, and Bayes Law is frequently used to model the way in which new information is used to revise beliefs. Decision theory is often used in the form of decision analysis, which shows how best to acquire information before making a decision.