Paper Info
Title
Machiavellian agents: Player modelling to deceive and be deceived
Abstract
This paper explores several augmentations to the previously described Plantagenet model of computer game agents to give agents the deceptic capability to deceive the player and/or be deceived by the player. Augmented finite state machine controllers for agents in a simple role playing game are generated using an evolutionary algorithm. It is demonstrated that the proposed model is a practical option for generating populations of around 30 agents in which constraints on agent behaviour to ensure that actions are consistent with deception can be satisfied in substantial portions of the agent population.
Year
DOI
Venue
2015
10.1109/CGames.2015.7272956
2015 Computer Games: AI, Animation, Mobile, Multimedia, Educational and Serious Games (CGAMES)
Keywords
Field
DocType
Machiavellian agents,player modelling,Plantagenet model,computer game agents,agent deceptic capability,augmented finite state machine controllers,role playing game,evolutionary algorithm,agent behaviour,agent population
Population,Evolutionary algorithm,Role playing game,Deception,Simulation,Computer science,Automaton,Evolutionary computation,Finite-state machine,Artificial intelligence
Conference
Citations 
PageRank 
References 
0
0.34
17
Authors
4
Name
Order
Citations
PageRank
Scott Watson110.69
Andrew Vardy214012.65
Wolfgang Banzhaf32627367.13
Todd Wareham415924.56