Massively multiplayer online games (MMOGs) are being increasingly successful, since they allow players to explore huge virtual worlds and to interact in many different ways, either cooperating or competing. To support the implementation of ultra-scalable real-time strategy MMOGs, we are developing a middleware, called PATROL, that is based on a structured peer-to-peer overlay scheme. Among other features, PATROL provides AI-based modules to detect cheating attempts, that the decentralized communication infrastructure may favor. In this work we illustrate how we implemented honest and cheating autonomous players (bots). In particular, we show how honest bots can detect cheating bots in real-time, using strategies based on neural networks.

Honest vs Cheating Bots in PATROL-Based Real-Time Strategy MMOGs / Sebastio, Stefano; Amoretti, Michele; Raul Murga, Jose; Picone, Marco; Cagnoni, Stefano. - (2014), pp. 225-238. [10.1007/978-3-642-37577-4_15]

Honest vs Cheating Bots in PATROL-Based Real-Time Strategy MMOGs

Marco Picone;
2014

Abstract

Massively multiplayer online games (MMOGs) are being increasingly successful, since they allow players to explore huge virtual worlds and to interact in many different ways, either cooperating or competing. To support the implementation of ultra-scalable real-time strategy MMOGs, we are developing a middleware, called PATROL, that is based on a structured peer-to-peer overlay scheme. Among other features, PATROL provides AI-based modules to detect cheating attempts, that the decentralized communication infrastructure may favor. In this work we illustrate how we implemented honest and cheating autonomous players (bots). In particular, we show how honest bots can detect cheating bots in real-time, using strategies based on neural networks.
2014
Evolution, Complexity and Artificial Life
978-3-642-37576-7
Springer Berlin Heidelberg
GERMANIA
Honest vs Cheating Bots in PATROL-Based Real-Time Strategy MMOGs / Sebastio, Stefano; Amoretti, Michele; Raul Murga, Jose; Picone, Marco; Cagnoni, Stefano. - (2014), pp. 225-238. [10.1007/978-3-642-37577-4_15]
Sebastio, Stefano; Amoretti, Michele; Raul Murga, Jose; Picone, Marco; Cagnoni, Stefano
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1198839
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