Conceptualising Software Development Lifecycle for Engineering AI Planning Systems
Author:
Affiliation:
1. IAAS, University of Stuttgart,Service Computing Department,Stuttgart,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10164724/10164725/10164777.pdf?arnumber=10164777
Reference11 articles.
1. HTN planning: Overview, comparison, and beyond
2. Towards Engineering AI Planning Functionalities as Services;georgievski;Service-Oriented Computing – ICSOC 2022 Workshops,2022
3. Planning.Wiki - The AI Planning & PDDL Wiki;green,2019
4. A Vision for Composing, Integrating, and Deploying AI Planning Functionalities
5. A Role for HTN Planning in Increasing Trust in Autonomous Driving
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4. DesignSystemsJS - Building a Design Systems API for aiding standardization and AI integration;2023 International Conference on Computing, Networking, Telecommunications & Engineering Sciences Applications (CoNTESA);2023-12-14
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