… to bluff its opponents, with the action representing not an “illogical” action, as bluffing is … ,
in this chapter, to be able to learn to bluff without outside prompting, and even to learn to call …

… While not a well-known game, its rules suit the purposes of this research exceptionally well,
making it an ideal testbed application for intelligent agent Multi-Agent Modelling (MAM). The …

… bluffing provides a statistical advantage to the player when compared to strategies that do
not employ bluffing. … I hypothesize that bluffing will outperform the non-bluffing strategies or at …

This paper examines the effectiveness of bluffing about external intervention in shaping civil
war dynamics using an agent-based model. It argues that warring parties’ initial information …

… for the game Bluff and to conduct experiments as to which performs better. Bluff is a multi-…
The process of bluffing involves making a move such that it misleads the opponent and thus …

… nested multi-agent reasoning. We evaluate our method in two challenging multi-agent
interac… The experimental results demonstrate that our method is computationally efficient while …

… Such abilities underlie individual success in a wide range of Markov games, from bluffing
in Poker to conditional cooperation in the … We propose a scalable method to approximate …

… There are two opposing schools of thought regarding bluffing [2]. One school claims that
bluffing is purely psychological, while the other maintains that a bluff is a purely statistical act, …

… bluffing was even open for debate, introducing additional difficulty to the procedure of producing
intelligent virtual players that can bluff, … They observed that, an agent can learn to bluff its …

… Designing active-flow-control (AFC) strategies for three-dimensional (3D) bluff bodies is
a … The method relies on coupling the computational-fluid-dynamics solver with a multi-agent …