Programming agent behavior by learning in simulation models
R Junges, F Klügl - Applied Artificial Intelligence, 2012 - Taylor & Francis
Designing the proper agent behavior for a multiagent system is a complex task. Often it is not
obvious which of the agents' actions, and the interactions among them and with their …
obvious which of the agents' actions, and the interactions among them and with their …
Evolution for modeling: a genetic programming framework for sesam
R Junges, F Klügl - Proceedings of the 13th annual conference …, 2011 - dl.acm.org
Develo** a valid agent-based simulation model is not always straight forward, but
involves a lot of prototy**, testing and analyzing until the right low-level behavior is fully …
involves a lot of prototy**, testing and analyzing until the right low-level behavior is fully …
Evaluation of techniques for a learning-driven modeling methodology in multiagent simulation
R Junges, F Klügl - … Technologies: 8th German Conference, MATES 2010 …, 2010 - Springer
There have been a number of suggestions for methodologies supporting the development of
multiagent simulation models. In this contribution we are introducing a learning-driven …
multiagent simulation models. In this contribution we are introducing a learning-driven …
Generating inspiration for agent design by reinforcement learning
R Junges, F Klügl - Information and Software Technology, 2012 - Elsevier
One major challenge in develo** multiagent systems is to find the appropriate agent
design that is able to generate the intended overall dynamics, but does not contain …
design that is able to generate the intended overall dynamics, but does not contain …
[PDF][PDF] Contextual integrity and privacy enforcing norms for virtual communities
Y Krupa, L Vercouter - … , Organization, Institutions and Norms in Multi …, 2010 - core.ac.uk
Contextual Integrity has been proposed to define privacy in an unusual way. Most
approaches take into account a sensitivity level or a “privacy circle”: the information is said to …
approaches take into account a sensitivity level or a “privacy circle”: the information is said to …
[HTML][HTML] Generating inspiration for multi-agent simulation design by Q-Learning
R Junges, F Klügl - MAS&S at MALLOW 2010, Lyon, France, August …, 2010 - diva-portal.org
One major challenge in develo** multiagent simulations is to find the appropriate agent
design that is able to generate the intended overall phenomenon dynamics, but does not …
design that is able to generate the intended overall phenomenon dynamics, but does not …
Control algorithms for autonomous embodied agents
S Slušný - 2014 - dspace.cuni.cz
Charles University in Prague Faculty of Mathematics and Physics DOCTORAL THESIS Mgr.
Stanislav Slušný Control algorithms for autonomous embodied agents Department of …
Stanislav Slušný Control algorithms for autonomous embodied agents Department of …
[BOOK][B] Learning contour following behavior using Q-Learning and Radial Basis Function network
S Rajbhandari - 2011 - search.proquest.com
The primary objective of this thesis is to autonomously learn the contour following behavior.
In the process of study, Q-Learning, along with Radial Basis Function approximation …
In the process of study, Q-Learning, along with Radial Basis Function approximation …