Vidal's libraryTitle: | Helping based on future expectations |
Author: | Sabyasachi Saha, Sandip Sen, and Partha Sarathi Dutta |
Book Tittle: | Proceedings of the second international joint conference on Autonomous agents and multiagent systems |
Pages: | 289--296 |
Publisher: | ACM Press, New York, NY. |
Year: | 2003 |
DOI: | 10.1145/860575.860622 |
Abstract: | Autonomous agents interacting in an open world can be considered to be primarily driven by self interests. Previous work in this area has prescribed a strategy of reciprocal behavior, based on past interactions, for promoting and sustaining cooperation among such self-interested agents. Here we present a new mechanism where agents base their decisions both on historical data as well as on future interaction expectations. A decision mechanism is presented that compares current helping cost with expected future savings from interaction with the agent requesting help. We experiment with heterogeneous agents that have varying expertise for di... |
Cited by 13 - Google Scholar
@inproceedings{saha03a,
author = {Sabyasachi Saha and Sandip Sen and Partha Sarathi
Dutta},
title = {Helping based on future expectations},
googleid = {bxFK4XkSeKIJ:scholar.google.com/},
booktitle = {Proceedings of the second international joint
conference on Autonomous agents and multiagent
systems},
year = 2003,
pages = {289--296},
location = {Melbourne, Australia},
doi = {10.1145/860575.860622},
publisher = {ACM Press, New York, NY.},
abstract = {Autonomous agents interacting in an open world can
be considered to be primarily driven by self
interests. Previous work in this area has prescribed
a strategy of reciprocal behavior, based on past
interactions, for promoting and sustaining
cooperation among such self-interested agents. Here
we present a new mechanism where agents base their
decisions both on historical data as well as on
future interaction expectations. A decision
mechanism is presented that compares current helping
cost with expected future savings from interaction
with the agent requesting help. We experiment with
heterogeneous agents that have varying expertise for
di...},
keywords = {multiagent learning game-theory},
url = {http://jmvidal.cse.sc.edu/library/saha03a.pdf},
comment = {masrg},
cluster = {11707127546029674863},
}
Last modified: Wed Mar 9 10:15:49 EST 2011