Abstract
In this extended abstract, we briefly recall the background, aims and format of the Intention Progression Competition, describe the format and generation of the test problems used to evaluate entries, and outline the architecture of the competition software.
The first edition of the Intention Progression Competition is supported by the University of Nottingham School of Computer Science.
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.
- 2.
- 3.
- 4.
GenGPT is available from www.intentionprogression.org.
- 5.
We are grateful to Yuan Yao for assistance in calibrating the test problem instances.
- 6.
Registrations for the first IPC are still open at www.intentionprogression.org.
References
Clement, B.J., Durfee, E.H.: Theory for coordinating concurrent hierarchical planning agents using summary information. In: Hendler, J., Subramanian, D. (eds.) Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 18–22 July 1999, Orlando, Florida, USA, pp. 495–502. AAAI Press/The MIT Press (1999)
Clement, B.J., Durfee, E.H., Barrett, A.C.: Abstract reasoning for planning and coordination. J. Artif. Intell. Res. 28, 453–515 (2007). https://doi.org/10.1613/jair.2158
Ghallab, M., Nau, D., Traverso, P.: Automated Planning and Acting. Cambridge University Press, New York (2016)
Koehler, J., Schuster, K.: Elevator control as a planning problem. In: Chien, S., Kambhampati, S., Knoblock, C.A. (eds.) Proceedings of the Fifth International Conference on Artificial Intelligence Planning Systems, Breckenridge, CO, USA, pp. 331–338. AAAI, April 2000
Logan, B., Thangarajah, J., Yorke-Smith, N.: Progressing intention progresson: A call for a goal-plan tree contest. In: Das, S., Durfee, E., Larson, K., Winikoff, M. (eds.) Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), Sao Paulo, Brazil, pp. 768–772. IFAAMAS, May 2017)
de Silva, L.: HTN acting: a formalism and an algorithm. In: André, E., Koenig, S., Dastani, M., Sukthankar, G. (eds.) Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2018, Stockholm, Sweden, Richland, SC, USA,10–15 July 2018, pp. 363–371. International Foundation for Autonomous Agents and Multiagent Systems/ACM (2018). http://dl.acm.org/citation.cfm?id=3237441
Thangarajah, J., Padgham, L., Winikoff, M.: Detecting and avoiding interference between goals in intelligent agents. In: Proceedings of IJCAI 2003, pp. 721–726 (2003)
Yao, Y., Logan, B.: Action-level intention selection for BDI agents. In: Thangarajah, J., Tuyls, K., Jonker, C., Marsella, S. (eds.) Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), Singapore, pp. 1227–1235. IFAAMAS, May 2016
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Castle-Green, S., Dewfall, A., Logan, B. (2020). The Intention Progression Competition. In: Baroglio, C., Hubner, J.F., Winikoff, M. (eds) Engineering Multi-Agent Systems. EMAS 2020. Lecture Notes in Computer Science(), vol 12589. Springer, Cham. https://doi.org/10.1007/978-3-030-66534-0_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-66534-0_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-66533-3
Online ISBN: 978-3-030-66534-0
eBook Packages: Computer ScienceComputer Science (R0)