Paper Info
Title
Bridging the Gap Between High-Level Reasoning in Strategic Agent Coordination and Low-Level Agent Development
Abstract
Recent advances in fields such as computer vision and natural language processing have paved the way for developing agents capable of automatically interpreting their surrounding environment. Concurrently, advances in artificial intelligence have made the coordination of many such agents possible. However, there is little work considering both the low-level reasoning that allows agents to interpret their environment, such as deep learning techniques, and the high-level reasoning that coordinates such agents. By considering both together, we can better handle real-world scenarios, for example by planning at a high level with low-level uncertainty in mind, or even by improving low-level processing by using high-level reasoning to place the agent in the best scenario for success.
Year
DOI
Venue
2019
10.5555/3306127.3332127
adaptive agents and multi-agents systems
Keywords
Field
DocType
security games,computational sustainability,uncertainty,sensors
Computer science,Computational sustainability,Bridging (networking),Human–computer interaction,Artificial intelligence,Deep learning,Machine learning
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
1
Name
Order
Citations
PageRank
Elizabeth Bondi113.07