NDLI: 09:00 Registration, poster set-up, and continental breakfast 09:30 Welcome 09:45 Invited Talk: Machine Learning in Space

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09:00 Registration, poster set-up, and continental breakfast 09:30 Welcome 09:45 Invited Talk: Machine Learning in Space

Content Provider	Semantic Scholar
Author	Wagstaff, Kiri L.
Copyright Year	2007
Abstract	Mapping a constantly changing environment is a challenge that necessitates a team of agents working together. These agents must continually explore the terrain and assemble the map in a distributed fashion. In a real-world instance of this problem agents have limited sensor and communication ranges, such as surveillance problem, further compounding the problem. Our solution is to create multiple “Explorer" agents and a centralized “Base station" agent using the BDI architecture. The BDI architecture provides a framework for agents that have their individual beliefs, desires and intentions (goals). The environment is ripe with uncertainty given its continually changing nature which makes BDI architecture well suited to this problem. Mobile Explorer agents have limited range of communication and partial observability of the environment. The Base station agent is stable and it maintains the global map of the environment from the information of the Explorer agents. Explorer agents use the Base station’s gl bal map (its beliefs about the world) to decide which ar a to explore next, and after xplor tion t ey send their updated map to the Base station agent. The Base station agent merges its copy with the information received from the explorer agent. The Explorer agents must stay within communication range of each other to maintain a complete communication network between all agents and the base station. The system models the environment as a grid of cells and the Base station assigns each cell a “Curiosity level", based on how long it has been since that region was explored. Higher curiosity level implies that the cell has not b en explored recently. Therefore, th curiosity level drives exploration toward regions f uncertai ty. Explorer agents calculate a force vector,
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.cs.rutgers.edu/wimlworkshop/program.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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