Paper Info
Title
Decentralized time geography for ad-hoc collaborative planning
Abstract
For an autonomous physical agent, such as a moving robot or a person with their mobile device, performing a task in a spatio-temporal environment often requires interaction with other agents. In this paper we study adhoc collaborative planning between these autonomous peers. We introduce the notion of decentralized time geography, which differs from the traditional time-geographic framework by taking into account limited local knowledge. This allows agents to perform a space-time analysis within a time-geographic framework that represents local knowledge in a distributed environment as required for ad-hoc coordinated action between agents in physical space. More specifically, we investigate the impact of general agent movement, replacement seeking, and location and goal-directed behavior of the initiating agent on the outcome of the collaborative planning. Empirical tests in a multi-agent simulation framework provide both a proof of concept and specific results for different combinations of agent density and communication radius.
Year
DOI
Venue
2009
10.1007/978-3-642-03832-7_27
COSIT
Keywords
Field
DocType
agent density,adhoc collaborative planning,decentralized time geography,collaborative planning,autonomous peer,autonomous physical agent,general agent movement,traditional time-geographic framework,ad-hoc collaborative planning,time-geographic framework,local knowledge,multi-agent simulation framework,proof of concept,distributed environment,space time,mobile device
Distributed Computing Environment,Computer science,Mobile agent,Knowledge management,Human–computer interaction,Proof of concept,Artificial intelligence,Time geography,Mobile device,Physical space,Robot,Wireless sensor network,Machine learning
Conference
Volume
ISSN
ISBN
5756
0302-9743
3-642-03831-X
Citations 
PageRank 
References 
5
0.49
12
Authors
3
Name
Order
Citations
PageRank
Martin Raubal1111281.28
Stephan Winter264345.20
Christopher Dorr360.85