@inproceedings{62be8423a41c42098b8c0b5abc0c255b,
title = "Maximizing expected impact in an agent reputation network",
abstract = "We propose a new framework for reasoning about the reputation of multiple agents, based on the partially observable Markov decision process (POMDP). It is general enough for the specification of a variety of stochastic multi-agent system (MAS) domains involving the impact of agents on each other{\textquoteright}s reputations. Assuming that an agent must maintain a good enough reputation to survive in the system, a method for an agent to select optimal actions is developed.",
keywords = "Planning, POMDP, Trust and reputation, Uncertainty",
author = "Gavin Rens and Abhaya Nayak and Thomas Meyer",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-3-030-00111-7_9",
language = "English",
isbn = "9783030001100",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-VDI-Verlag GmbH & Co. KG",
pages = "99--106",
editor = "Frank Trollmann and Anni-Yasmin Turhan",
booktitle = "KI 2018",
address = "Germany",
note = "41st German Conference on Artificial Intelligence, KI 2018 ; Conference date: 24-09-2018 Through 28-09-2018",
}