Monitoring Strategies for Embedded Agents: Experiments
and Analysis
M. Atkin, and P. Cohen. Adaptive Behavior, 4 (2):
125--172(Fall 1995)
Abstract
Monitoring is an important activity for any embedded
agent. To operate effectively, agents must gather
information about their environment. The policy by
which they do this is called a monitoring strategy. Our
work has focused on classifying different types of
monitoring strategies and understanding how strategies
depend on features of the task and environment. We have
discovered only a few general monitoring strategies, in
particular periodic and interval reduction, and
speculate that there are no more. The relative
advantages and generality of each strategy will be
discussed in detail. The wide applicability of interval
reduction will be demonstrated both empirically and
analytically. We conclude with a number of general laws
that state when a strategy is most appropriate.
%0 Journal Article
%1 atkin:1995:AB
%A Atkin, Marc S.
%A Cohen, Paul R.
%D 1995
%J Adaptive Behavior
%K Monitoring, agents, algorithms, embedded genetic planning programming,
%N 2
%P 125--172
%T Monitoring Strategies for Embedded Agents: Experiments
and Analysis
%U http://www-eksl.cs.umass.edu/papers/atkin96.pdf
%V 4
%X Monitoring is an important activity for any embedded
agent. To operate effectively, agents must gather
information about their environment. The policy by
which they do this is called a monitoring strategy. Our
work has focused on classifying different types of
monitoring strategies and understanding how strategies
depend on features of the task and environment. We have
discovered only a few general monitoring strategies, in
particular periodic and interval reduction, and
speculate that there are no more. The relative
advantages and generality of each strategy will be
discussed in detail. The wide applicability of interval
reduction will be demonstrated both empirically and
analytically. We conclude with a number of general laws
that state when a strategy is most appropriate.
@article{atkin:1995:AB,
abstract = {Monitoring is an important activity for any embedded
agent. To operate effectively, agents must gather
information about their environment. The policy by
which they do this is called a monitoring strategy. Our
work has focused on classifying different types of
monitoring strategies and understanding how strategies
depend on features of the task and environment. We have
discovered only a few general monitoring strategies, in
particular periodic and interval reduction, and
speculate that there are no more. The relative
advantages and generality of each strategy will be
discussed in detail. The wide applicability of interval
reduction will be demonstrated both empirically and
analytically. We conclude with a number of general laws
that state when a strategy is most appropriate.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Atkin, Marc S. and Cohen, Paul R.},
biburl = {https://www.bibsonomy.org/bibtex/2ee64768f267f6cc651e174931831b965/brazovayeye},
interhash = {d690479c863853e928e90b753719ed02},
intrahash = {ee64768f267f6cc651e174931831b965},
journal = {Adaptive Behavior},
keywords = {Monitoring, agents, algorithms, embedded genetic planning programming,},
month = {Fall},
number = 2,
pages = {125--172},
timestamp = {2008-06-19T17:35:54.000+0200},
title = {Monitoring Strategies for Embedded Agents: Experiments
and Analysis},
url = {http://www-eksl.cs.umass.edu/papers/atkin96.pdf},
volume = 4,
year = 1995
}