Normal form games are one of the most familiar representations for modeling interactions among multiple agent. However, modeling many realistic interactions between agents results in games that are extremely large. In these cases computing standard solutions like Nash equilibrium may be intractable. To overcome this issue the idea of abstraction has been investigated, most prominently in research on computer Poker. Solving a game using abstraction requires using some method to simplify the game before it is analyzed. We study a new variation for solving normal form games using abstraction that is based on finding and solving suitable sub games. We compare this method with several variations of a common type of abstraction based on clusterin...
Network games (NGs) are played on directed graphs and are extensively used in network design and ana...
Network games (NGs) are played on directed graphs and are extensively used in network design and ana...
We present a technique for reducing a normal-form (aka. (bi)matrix) game, O, to a smaller normal-for...
Abstract. Abstraction is a method often applied to keep the combina-torial explosion under control a...
Game theory is a tool for modeling multi-agent decision problems and has been used to great success ...
Most real-world games and many recreational games are games of incomplete information. Over the last...
Most real-world games and many recreational games are games of incomplete information. Over the last...
Game theory is a tool for modeling multi-agent decision problems and has been used to analyze strate...
We present a new automated abstraction algorithm for sequential imperfect information games. While m...
We present a new abstraction algorithm for sequential im-perfect information games. While most prior...
We present a new abstraction algorithm for sequential imperfect information games. While most prior ...
Abstraction has emerged as a key component in solving extensive-form games of incomplete information...
Efficient algorithms exist for finding optimal strategies in extensive-form games. However human sca...
In multiagent domains, an agent’s beliefs about how other agents will or could act plays a significa...
The leading approach to solving large imperfect information games is to pre-calculate an approximate...
Network games (NGs) are played on directed graphs and are extensively used in network design and ana...
Network games (NGs) are played on directed graphs and are extensively used in network design and ana...
We present a technique for reducing a normal-form (aka. (bi)matrix) game, O, to a smaller normal-for...
Abstract. Abstraction is a method often applied to keep the combina-torial explosion under control a...
Game theory is a tool for modeling multi-agent decision problems and has been used to great success ...
Most real-world games and many recreational games are games of incomplete information. Over the last...
Most real-world games and many recreational games are games of incomplete information. Over the last...
Game theory is a tool for modeling multi-agent decision problems and has been used to analyze strate...
We present a new automated abstraction algorithm for sequential imperfect information games. While m...
We present a new abstraction algorithm for sequential im-perfect information games. While most prior...
We present a new abstraction algorithm for sequential imperfect information games. While most prior ...
Abstraction has emerged as a key component in solving extensive-form games of incomplete information...
Efficient algorithms exist for finding optimal strategies in extensive-form games. However human sca...
In multiagent domains, an agent’s beliefs about how other agents will or could act plays a significa...
The leading approach to solving large imperfect information games is to pre-calculate an approximate...
Network games (NGs) are played on directed graphs and are extensively used in network design and ana...
Network games (NGs) are played on directed graphs and are extensively used in network design and ana...
We present a technique for reducing a normal-form (aka. (bi)matrix) game, O, to a smaller normal-for...