Artificial Intelligence and Machine Learning: Unit I(e): Adversarial search
What is Game?
Adversarial search - Artificial Intelligence and Machine Learning
In adversarial search problem environment is multiagent, competitive where in the agent's goals are in coflict. Adversarial search problems are commonly known as games.
UNIT I
Chapter: 5: Adversarial search
Adversarial Search
In
adversarial search problem environment is multiagent, competitive where in the
agent's goals are in coflict. Adversarial search problems are commonly known as
games.
Mathematical
game theory a branch of economics views any multiagent environment as a game,
provided that, impact of each agent on the others is "significant"
regardless of whether the agent are co-operative or competitive.
What is Game?
AU:
May-03
-
The term game means a sort of conflict in which n individuals or groups (known
as players) participate.
-
Game theory denotes games of strategy.
-
John Von Neumann is acknowledged as father of game theory. Neumann defined game
theory in 1928 and established the mathematical framework for all subsequent
theoretical developments.
-
Game theory allows decision-makers (players) to cope with other decision-maker
(players) who have different purposes in mind. In other words, players
determine their own strategies in terms of the strategies and goal of their
opponent.
-
Games are integral attribute of human beings. Games engage the intellectual
faculties of humans.
- If
computers are to mimic people they should be able to play games.
-
Game playing has close relation to intelligence and it has well-defined states
and rules.
Artificial Intelligence and Machine Learning: Unit I(e): Adversarial search : Tag: : Adversarial search - Artificial Intelligence and Machine Learning - What is Game?
Artificial Intelligence and Machine Learning: Unit I(e): Adversarial search
Under Subject
Artificial Intelligence and Machine Learning
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