Prognostic agent assistance for norm-compliant coalition planning

Jean Oh, Felipe Meneguzzi, Katia Sycara, Timothy J Norman

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution


In this paper we describe a software assistant agent that can proactively assist human users situated in a time-constrained environ-ment. We specifically aim at assisting the user's normative reasoning– reasoning about prohibitions and obligations–so that the user can focus on her planning objectives. In order to provide proactive assistance, the agent must be able to 1) recognize the user's planned activities, 2) reason about potential needs of assistance associated with those predicted ac-tivities, and 3) plan to provide appropriate assistance suitable for newly identified user needs. To address these specific requirements, we develop an agent architecture that integrates user intention recognition, norma-tive reasoning over a user's intention, and planning, execution and re-planning for assistive actions. This paper presents the agent architecture and discusses practical applications of this approach.
Original languageEnglish
Title of host publicationSecond International Workshop on Infrastructures and Tools for Multiagent Systems
Number of pages15
Publication statusPublished - Jan 2011


Dive into the research topics of 'Prognostic agent assistance for norm-compliant coalition planning'. Together they form a unique fingerprint.

Cite this