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Optimal Blends of History and Intelligence for Robust Antiterrorism Policy
2011
Journal of Homeland Security and Emergency Management
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We show that history is a valuable source of information when the terrorist organization evolves and acquires new capabilities at such a rapid pace that makes optimal strategies advocated by game-theoretic ...
that use MARS to derive robust myopic strategies for NORA. ...
We set the size of the strategy set for 0 as + 1 = ∥ℓ 0 ∥. For example, in iterated prisoner's dilemma, "tit for tat" is an appropriate heuristic with = 0. ...
doi:10.2202/1547-7355.1795
fatcat:5ihmiscd7rcqbds4lsrnye2udq
Evolving Coordination for Real-Time Strategy Games
2011
IEEE Transactions on Computational Intelligence and AI in Games
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An abstract real-time strategy game is used for our experiments, similar to a board game but with many of the properties that define real-time strategy games. ...
The aim of this work is to show that evolutionary computation techniques (genetic programming in this case) can be used to evolve coordination in real-time strategy games. ...
The authors would also like to thank the reviewers for their useful comments. ...
doi:10.1109/tciaig.2011.2146783
fatcat:zdi76z4rpjfh3p6ppi6qbfvbd4
Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters
2020
Zenodo
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Adversarial Genetic Programming for Cyber Security encompasses extant and immediate research efforts in a vital problem domain, arguably occupying a position at the frontier where GP matters. ...
We delineate Adversarial Genetic Programming for Cyber Security, a research topic that, by means of genetic programming (GP), replicates and studies the behavior of cyber adversaries and the dynamics of ...
Other work [88] coevolved real time strategy players by representing the AI agents with Influence Maps [38] . ...
doi:10.5281/zenodo.4593284
fatcat:mpwyc4xbhbhahlaagf44a22abe
Adversarial genetic programming for cyber security: a rising application domain where GP matters
2020
Genetic Programming and Evolvable Machines
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2020 pre-print arXiv:2004.04647v1 fatcat:2jkqj2pktncvvhcypj4myrxqha
Adversarial Genetic Programming for Cyber Security encompasses extant and immediate research efforts in a vital problem domain, arguably occupying a position at the frontier where GP matters. ...
We delineate Adversarial Genetic Programming for Cyber Security, a research topic that, by means of genetic programming (GP), replicates and studies the behavior of cyber adversaries and the dynamics of ...
Other work [88] coevolved real time strategy players by representing the AI agents with Influence Maps [38] . ...
doi:10.1007/s10710-020-09389-y
fatcat:pptcxqfc6zeptdstzl3ipewrym
Evolution, neural networks, games, and intelligence
1999
Proceedings of the IEEE
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Mathematical games provide a framework for studying intelligent behavior in models of real-world settings or restricted domains. ...
This paper describes efforts to hybridize neural and evolutionary computation to learn appropriate strategies in zeroand nonzero-sum games, including the iterated prisoner's dilemma, tic-tac-toe, and checkers ...
first and is never taken advantage of for more than one iteration at a time. ...
doi:10.1109/5.784222
fatcat:n663qe3ebjhozc22elza7rfiva
A novel method for automatic strategy acquisition in N-player non-zero-sum games
2006
Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems - AAMAS '06
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We present a novel method for automatically acquiring strategies for the double auction by combining evolutionary optimization together with a principled game-theoretic analysis. ...
In this paper, we adopt a more appropriate criterion for success from evolutionary game-theory based on the likely adoption-rate of a given strategy in a large population of traders, and accordingly we ...
To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. verge on robust strategies. ...
doi:10.1145/1160633.1160760
dblp:conf/atal/PhelpsMP06
fatcat:aefmtsr7hjcvzmmbjulbebctny
Automated mechanism design with co-evolutionary hierarchical genetic programming techniques
2012
Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference - GECCO '12
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The resulting model is evaluated by evolving mechanisms for the ultimatum game, and replicates the results of empirical studies of human economic behaviors, as well as demonstrating the ability to evaluate ...
competing hypothesises for the creation of economic incentives. ...
LET M emes be a population of strategy heuristics mapping I and A to the reals. ...
doi:10.1145/2330163.2330293
dblp:conf/gecco/DoucetteA12
fatcat:pqun6v6sf5g4dd47nbj63hrjke
Learning to Network
[chapter]
2014
Social Dynamics
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The Making Friends games provide building blocks for analyzing learning dynamics where the interactions are games with non-trivial strategies. Consider the two-person Stag Hunt. ...
The system was observed to stay near such a state for a long time (5,000,000 iterations of the process.) ...
doi:10.1093/acprof:oso/9780199652822.003.0010
fatcat:gu6kei7nd5f2vlyrzksokok62q
Learning to Network
[chapter]
2010
Signals
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The Making Friends games provide building blocks for analyzing learning dynamics where the interactions are games with non-trivial strategies. Consider the two-person Stag Hunt. ...
The system was observed to stay near such a state for a long time (5,000,000 iterations of the process.) ...
doi:10.1093/acprof:oso/9780199580828.003.0015
fatcat:sohhfthvirbdpilj4qtcs67t64
Learning to Network
[chapter]
2010
Boston Studies in the Philosophy of Science
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The Making Friends games provide building blocks for analyzing learning dynamics where the interactions are games with non-trivial strategies. Consider the two-person Stag Hunt. ...
The system was observed to stay near such a state for a long time (5,000,000 iterations of the process.) ...
doi:10.1007/978-90-481-3615-5_12
fatcat:3vbmtt4h7bcrtnhxgbxkrdu2qu
Computer poker: A review
2011
Artificial Intelligence
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This is followed by the use of computational game theory to construct robust poker agents and the advances that have been made in this area. ...
The game of poker has been identified as a beneficial domain for current AI research because of the properties it possesses such as the need to deal with hidden information and stochasticity. ...
games and real-time strategy games. ...
doi:10.1016/j.artint.2010.12.005
fatcat:scqlvti56jdv5o7tn4lyoq675m
From genetic evolution to emergence of game strategies
1994
Physica D : Non-linear phenomena
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Evolution of game strategies is studied in the Erroneous Iterated Prisoner's Dilemma game, in which a player sometimes decides on an erroneous action contrary to his own strategy. ...
Erroneous games of this kind have been known to lead to the evolution of a variety of strategies. This paper describes genetic fusion modeling as a particular source of new strategies. ...
Acknowledgements I'd like to thank the reviewer for his appropriate suggestions and valuable comments. ...
doi:10.1016/0167-2789(94)90290-9
fatcat:mtb5frceuffkrg5teb3bpem4nq
From Intelligent Vehicles to Smart Societies: A Parallel Driving Approach
2018
IEEE Transactions on Computational Social Systems
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Specifically, the relations between mentors and mentees in the game are studied. A logistic regression model is proposed in order to find predictors of mentors and mentees building trust. ...
Iteration times decreases because of cardinality reduction from n to 2, which accelerates the convergence process. ...
doi:10.1109/tcss.2018.2862058
fatcat:u2dapmjsr5hafaas7ztavgq7di
Research Commentary—Designing Smart Markets
2010
Information systems research
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markets revolves around using theoretically supported computational tools to both understand the characteristics of complex trading environments and multiechelon markets and help human decision makers make real-time ...
E lectronic markets have been a core topic of information systems (IS) research for last three decades. We focus on a more recent phenomenon: smart markets. ...
Traditionally, game theory has been used to analytically derive optimal strategies for participants in interactive environments. ...
doi:10.1287/isre.1100.0316
fatcat:yoi7t3bmlrfcrfbnic3ifqyrh4
Governing online goods: Maturity and formalization in Minecraft, Reddit, and World of Warcraft communities
[article]
2022
arXiv
pre-print
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Minecraft, the MMO game World of Warcraft, and Reddit. ...
Building a successful community means governing active populations and limited resources. This challenge often requires communities to design formal governance systems from scratch. ...
ACKNOWLEDGEMENTS The authors wish to thank members of the institutionalgrammar.org, communitydata.science, and metagov.org research communities; Kabir Sahni and Jingyuan Liang for help on the WoW data; ...
arXiv:2202.01317v1
fatcat:wwed5tzta5eblf776pma3ldbxi
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