Abstract
We discuss a challenge in developing intelligent agents (robots) that can collaborate with human in problem solving. Specifically, we consider situations in which a robot must use natural language in communicating with human and responding to the human’s communication appropriately. In the process, we identify three main tasks. The first task requires the development of planners capable of dealing with descriptive goals. The second task, called plan failure analysis, demands the ability to analyze and determine the reason(s) why the planning system does not success. The third task focuses on the ability to understand communications via natural language. We show how the first two tasks can be accomplished in answer set programming.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
DARPA: Communicating with Computers (CwC) (2015)
Lifschitz, V.: Answer set programming and plan generation. AIJ 138(1–2), 39–54 (2002)
Sharma, A., Aditya, S., Nguyen, V., Baral, C.: Towards addressing the winograd schema challenge - building and using needed tools. In: Proceedings of IJCAI (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Baral, C., Son, T.C. (2015). “Add Another Blue Stack of the Same Height!”: ASP Based Planning and Plan Failure Analysis. In: Calimeri, F., Ianni, G., Truszczynski, M. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2015. Lecture Notes in Computer Science(), vol 9345. Springer, Cham. https://doi.org/10.1007/978-3-319-23264-5_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-23264-5_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-23263-8
Online ISBN: 978-3-319-23264-5
eBook Packages: Computer ScienceComputer Science (R0)