Abstract
In this study, we propose BraveCat agent, one of the ANAC 2014 finalists. The main challenge of ANAC 2014 was dealing with nonlinear utility scenarios and ultra large-size domains. Since the conventional frequency and Bayesian opponent models cannot be used to model the unknown complex nonlinear utility space or preference profile of the opponent in ultra large domains, we design a new distance based opponent model to estimate the utility of a candidate bid to be sent to the opponent in each round of the negotiation. Moreover, by using iterative deepening search, BraveCat overcomes the limitations imposed by the huge amount of memory needed in the ultra large domains. It also uses a hybrid bidding strategy that combines behaviors of time dependent, random, and imitative strategies.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
In normal distribution, when the random variable value resides in the interval [−2.58, 2.58], the accumulative probability will equal to 99 %. That is, in a normal distribution experiment with 99 % probability, the random variable value will fall into the interval [−2.58, 2.58].
References
Baarslag, T., Hindriks, K., Hendrikx, M., Dirkzwager, A., Jonker, C.: Decoupling negotiating agents to explore the space of negotiation strategies. In: Novel Insights in Agent-based Complex Automated Negotiation, pp. 61–83. Springer (2014)
Baarslag, T., Hindriks, K., Jonker, C., Kraus, S., Lin, R.: The first automated negotiating agents competition (anac 2010). In: New Trends in Agent-based Complex Automated Negotiations, pp. 113–135. Springer (2012)
Baarslag, T., Hindriks, K., Jonker, C.: A tit for tat negotiation strategy for real-time bilateral negotiations. In: Ito, T., Zhang, M., Robu, V., Matsuo, T. (eds.) Complex Automated Negotiations: Theories. Models, and Software Competitions, volume 435 of Studies in Computational Intelligence, pp. 229–233. Springer, Heidelberg (2013)
Faratin, P., Sierra, C., Jennings, N.R.: Negotiation decision functions for autonomous agents. Robot. Auton. Syst. 24(3), 159–182 (1998)
Hindriks, K., Tykhonov, D.: Opponent modelling in automated multi-issue negotiation using bayesian learning. In: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems, pp. 331–338. International Foundation for Autonomous Agents and Multiagent Systems, Estoril, Portugal (2008)
Katsuhide, F., Ito, T., Baarslag, T., Hindriks, K., Jonker, C., Kraus, S., Lin, R.: The second automated negotiating agents competition (anac2011). In: Ito, T., Zhang, M., Robu, V., Matsuo, T. (eds.) Complex Automated Negotiations: Theories. Models, and Software Competitions, volume 435 of Studies in Computational Intelligence, pp. 183–197. Springer, Heidelberg (2013)
Kawaguchi, S., Fujita, K., Ito, T.: Agentk: compromising strategy based on estimated maximum utility for automated negotiating agents. In: Ito, Takayuki, Zhang, Minjie, Robu, Valentin, Fatima, Shaheen, Matsuo, Tokuro (eds.) New Trends in Agent-Based Complex Automated Negotiations. Studies in Computational Intelligence, vol. 383, pp. 137–144. Springer, Heidelberg (2012)
Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach (2010)
van Krimpen, T., Looije, D., Hajizadeh, S.: Hardheaded. In: Ito, T., Zhang, M., Robu, V., Matsuo, T. (eds.) Complex Automated Negotiations: Theories. Models, and Software Competitions, volume 435 of Studies in Computational Intelligence, pp. 223–227. Springer, Heidelberg (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Zafari, F., Nassiri-Mofakham, F. (2016). BraveCat: Iterative Deepening Distance-Based Opponent Modeling and Hybrid Bidding in Nonlinear Ultra Large Bilateral Multi Issue Negotiation Domains. In: Fukuta, N., Ito, T., Zhang, M., Fujita, K., Robu, V. (eds) Recent Advances in Agent-based Complex Automated Negotiation. Studies in Computational Intelligence, vol 638. Springer, Cham. https://doi.org/10.1007/978-3-319-30307-9_21
Download citation
DOI: https://doi.org/10.1007/978-3-319-30307-9_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-30305-5
Online ISBN: 978-3-319-30307-9
eBook Packages: EngineeringEngineering (R0)