Intelligent systems must manage their own goals across various domains such as fully observable, partially observable, dynamic, and multi-agent. To achieve robust behavior across such varied environments, the agents must reason about their own goals, relevant environmental factors, and other agents. Some approaches used in AI to achieve such behavior include Automated planning, action execution, goal achievement, goal management, goal operations, anomaly detection, explanation and reasoning about anomalies, expectations, and goal delegation. Researchers can observe the implementation of the above approaches across different disciplines in AI. This workshop aims to bring together researchers from distinct subfields to encourage cross-disciplinary discussion on goal reasoning.
=============== Workshop Topics =======================
Topics of interest include, but are not limited to the following:
Please find below the website and EasyChair link with complete CfP and submission instructions:
https://sravya-kondrakunta.github.io/9thGoal-Reasoning-Workshop/index.html
https://easychair.org/conferences/?conf=grwacs2021
Feel free to reach out to any of the organizers:
Regards
Sravya K, Zohreh Dannenhauer, Sampath G.