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» Representing and Parameterizing Agent Behaviors
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HICSS
2002
IEEE
179views Biometrics» more  HICSS 2002»
15 years 6 months ago
Combined Modeling with Multi-agent Systems and Simulation: Its Application to Harbor Supply Chain Management
This paper presents a method for modeling the dynamic behavior of harbor supply chains and evaluating strategic and operational policies of the proposed harbor supply chain by app...
Dong Won Yi, Soung Hie Kim, Nak Hyun Kim
AGENTS
2001
Springer
15 years 6 months ago
Learning structured reactive navigation plans from executing MDP navigation policies
Autonomous robots, such as robot office couriers, need navigation routines that support flexible task execution and effective action planning. This paper describes XFRMLEARN, a s...
Michael Beetz, Thorsten Belker
MANSCI
2006
63views more  MANSCI 2006»
15 years 1 months ago
Multiplicative Background Risk
Although there has been much attention in recent years on the effects of additive background risks, the same is not true for its multiplicative counterpart. We consider random wea...
Günter Franke, Harris Schlesinger, Richard C....
CEC
2005
IEEE
15 years 7 months ago
Distributed brain modelling by means of hierarchical collaborative coevolution
The current work addresses the development of cognitive abilities in artificial organisms. In the proposed approach, neural network-based agent structures are employed to represen...
Michail Maniadakis, Panos E. Trahanias
ATAL
2007
Springer
15 years 5 months ago
Confidence-based policy learning from demonstration using Gaussian mixture models
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
Sonia Chernova, Manuela M. Veloso