Abstract
Modern software development environment is based on developers’ ability to work in parallel on the same codebase and perform concurrent changes, which potentially need to be merged back together. However, state-of-the-art merging systems follow text-based algorithms that focus only on modifications to text but completely ignore the semantic of the code written. This limitation significantly restricts developers’ ability to perform and merge concurrent changes. In this paper, we propose a merging technique that fully understands the programming language structure of typical BDI agent systems. In addition, our approach effectively captures the semantic of an agent system using the notion of semantic effects of goals, plans and actions constituting the agent system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Berzins, V.: Software merge: semantics of combining changes to programs. ACM Trans. Program. Lang. Syst. 16(6), 1875–1903 (1994)
Dam, H.K., Ghose, A.: Automated change impact analysis for agent systems. In: Proceedings of the 27th IEEE International Conference on Software Maintenance, ICSM 2011, pp. 33–42. IEEE, Washington, DC (2011)
Dam, K.H., Winikoff, M.: Cost-based BDI plan selection for change propagation. In: Padgham, Parkes, Müller, Parsons (eds.) Proceedings of the 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), Estoril, Portugal, pp. 217–224 (May 2008)
Dastani, M., Birna Riemsdijk, M., Meyer, J.-J.: Programming multi-agent systems in 3APL. In: Bordini, R., Dastani, M., Dix, J., Fallah Seghrouchni, A. (eds.) Multi-Agent Programming. Multiagent Systems, Artificial Societies, and Simulated Organizations, vol. 15, pp. 39–67. Springer US (2005)
Mens, T.: A state-of-the-art survey on software merging. IEEE Transactions on Software Engineering 28(5), 449–462 (2002)
Rao, A.S.: AgentSpeak(L): BDI agents speak out in a logical computable language. In: Perram, J., Van de Velde, W. (eds.) MAAMAW 1996. LNCS (LNAI), vol. 1038, pp. 42–55. Springer, Heidelberg (1996)
Sardina, S., Padgham, L.: A BDI agent programming language with failure handling, declarative goals, and planning. Autonomous Agents and Multi-Agent Systems 23(1), 18–70 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gou, Y., Dam, H.K., Ghose, A. (2013). Towards Semantic Merging of Versions of BDI Agent Systems. In: Boella, G., Elkind, E., Savarimuthu, B.T.R., Dignum, F., Purvis, M.K. (eds) PRIMA 2013: Principles and Practice of Multi-Agent Systems. PRIMA 2013. Lecture Notes in Computer Science(), vol 8291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-44927-7_32
Download citation
DOI: https://doi.org/10.1007/978-3-642-44927-7_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-44926-0
Online ISBN: 978-3-642-44927-7
eBook Packages: Computer ScienceComputer Science (R0)