Filters








341 Hits in 6.8 sec

Optimal Blends of History and Intelligence for Robust Antiterrorism Policy

Maciej M Latek, Seyed M Mussavi Rizi, Tariq A Alsheddi
2011 Journal of Homeland Security and Emergency Management  
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

David Keaveney, Colm O'Riordan
2011 IEEE Transactions on Computational Intelligence and AI in Games  
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

Una-May O'Reilly, Jamal Toutouh, Marcos Pertierra, Daniel Prado Sanchez, Anthony Erb Luogo, Jonathan Kelly, Erik Hemberg
2020 Zenodo  
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

Una-May O'Reilly, Jamal Toutouh, Marcos Pertierra, Daniel Prado Sanchez, Dennis Garcia, Anthony Erb Luogo, Jonathan Kelly, Erik Hemberg
2020 Genetic Programming and Evolvable Machines  
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

K. Chellapilla, D.B. Fogel
1999 Proceedings of the IEEE  
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

S. Phelps, M. Marcinkiewicz, S. Parsons
2006 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems - AAMAS '06  
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

John A. Doucette, Darren Abramson
2012 Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference - GECCO '12  
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]

with Robin Pemantle
2014 Social Dynamics  
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]

Brian Skyrms
2010 Signals  
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]

Brian Skyrms, Robin Pemantle
2010 Boston Studies in the Philosophy of Science  
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

Jonathan Rubin, Ian Watson
2011 Artificial Intelligence  
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

Takashi Ikegami
1994 Physica D : Non-linear phenomena  
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

Fei-Yue Wang, Yong Yuan, Juanjuan Li, Dongpu Cao, Lingxi Li, Petros A. Ioannou, Miguel Angel Sotelo
2018 IEEE Transactions on Computational Social Systems  
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

Martin Bichler, Alok Gupta, Wolfgang Ketter
2010 Information systems research  
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]

Seth Frey, Qiankun Zhong, Beril Bulat, William D. Weisman, Caitlyn Liu, Stephen Fujimoto, Hannah M. Wang, Charles M. Schweik
2022 arXiv   pre-print
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
« Previous Showing results 1 — 15 out of 341 results