The Role of Social Image as a Behavior Filter: A Case Study Based on Cognitive Agents
Abstract
In multi-agent systems (MAS), computational reputation models have been adopted as an important solution in order to ensure security and efficiency. The evaluation mechanisms, offered by these models, can be used to punish inappropriate behaviors of agents and improve the partner selection process in uncertain situations. However, as the reputation is a shared opinion, in some cases, a given agent can be penalized excessively and no longer be chosen as a negotiation partner, even when he is not a cheater. In this context, in this work, we investigate how the social image, a social evaluation about the characteristics of someone, can be used to avoid very severe punishments, as well, its effects on the decisions taken by an agent about its negotiation partners, assuming that these decisions are initially made based only on reputation of other agents. Our results demonstrate that, in some scenarios, social image may lead an agent to be more flexible during the selection of his negotiation partners.References
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Castelfranchi, C. and Falcone, R. (2010). Trust theory: A socio-cognitive and computational model, volume 18. John Wiley & Sons.
Castelfranchi, C. and Guerini, M. (2007). Is it a promise or a threat? Pragmatics & Cognition, 15(2):277–311.
Conte, R. and Paolucci, M. (2002). Reputation in artificial societies: Social beliefs for social order, volume 6. Springer Science & Business Media.
Huynh, T. D., Jennings, N. R., and Shadbolt, N. (2004). Fire: An integrated trust and reputation model for open multi-agent systems.
Luck, M., McBurney, P., Shehory, O., and Willmott, S. (2005). Agent technology: computing as interaction (a roadmap for agent based computing). University of Southampton.
Pinyol, I. and Sabater-Mir, J. (2013). Computational trust and reputation models for open multi-agent systems: a review. Artificial Intelligence Review, 40(1):1–25.
Pinyol, I., Sabater-Mir, J., Dellunde, P., and Paolucci, M. (2012). Reputation-based decisions for logic-based cognitive agents. Autonomous Agents and Multi-Agent Systems, 24(1):175–216.
Rao, A. S. (1996). Agentspeak (l): Bdi agents speak out in a logical computable language. In European workshop on modelling autonomous agents in a multi-agent world, pages 42–55. Springer.
Sabater, J., Paolucci, M., and Conte, R. (2006). Repage: Reputation and image among limited autonomous partners. Journal of artificial societies and social simulation, 9(2).
Sabater, J. and Sierra, C. (2001). Regret: reputation in gregarious societies. In Proceedings of the fifth international conference on Autonomous agents, pages 194–195.
Sabater, J. and Sierra, C. (2005). Review on computational trust and reputation models. Artificial intelligence review, 24(1):33–60.
Smith, R. G. (1980). The contract net protocol: High-level communication and control in a distributed problem solver. IEEE Transactions on computers, (12):1104–1113.
Published
2020-07-07
How to Cite
BAQUETA, Jeferson J.; MORVELI-ESPINOZA, Mariela; GIMENEZ-LUGO, Gustavo A.; TACLA, Cesar A..
The Role of Social Image as a Behavior Filter: A Case Study Based on Cognitive Agents. In: WORKSHOP-SCHOOL ON AGENTS, ENVIRONMENTS, AND APPLICATIONS (WESAAC), 14. , 2020, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 25-36.
ISSN 2326-5434.
DOI: https://doi.org/10.5753/wesaac.2020.33377.
