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Leaderless Covert Networks: A Quantitative Approach

Bart Husslage, Roy H. A. Lindelauf, Herbert Hamers
2012 Social Science Research Network  
The question we try to answer in this chapter is whether there is a relationship between the quality of a covert network based on their optimality with respect to the trade-off between secrecy and information  ...  and the variance of the game theoretic centrality measures of the respective individuals in the network.  ...  As in the homogeneous case we investigate the trade-off between the values of µ and σ 2 for networks up to 10 persons.  ... 
doi:10.2139/ssrn.2104082 fatcat:rzuija5u3ndwtjonfget5qnm74

A Game-Theoretic Approach to IP Address Randomization in Decoy-Based Cyber Defense [chapter]

Andrew Clark, Kun Sun, Linda Bushnell, Radha Poovendran
2015 Lecture Notes in Computer Science  
In this paper, we present a gametheoretic framework for modeling the strategic interaction between an external adversary and a network of decoy nodes. Our framework consists of two components.  ...  Second, we formulate games with an adversary who attempts to find a real node in a network consisting of real and decoy nodes, where the time to detect whether a node is real or a decoy is derived from  ...  game has a mixed strategy equilibrium, suggesting that networks should consist of a mixture of high-and low-interaction decoys.  ... 
doi:10.1007/978-3-319-25594-1_1 fatcat:yacn2n2zbrd2te3uarz4vdireu

A Survey on Blockchain: A Game Theoretical Perspective

Ziyao Liu, Nguyen Cong Luong, Wenbo Wang, Dusit Niyato, Ping Wang, Ying-Chang Liang, Dong In Kim
2019 IEEE Access  
In this survey, we review the game models proposed to address common issues in the blockchain network.  ...  blockchain economic and energy trading.  ...  Each miner chooses the transactions to be included in its block and trades off the transaction fees and probability of the collision.  ... 
doi:10.1109/access.2019.2909924 fatcat:a5gl7yexnffp5fjsnsw26gnjmi

A Survey on Applications of Game Theory in Blockchain [article]

Ziyao Liu, Nguyen Cong Luong, Wenbo Wang, Dusit Niyato, Ping Wang, Ying-Chang Liang, Dong In Kim
2019 arXiv   pre-print
In this paper, we review game models proposed to address common issues in the blockchain network.  ...  blockchain economic and energy trading.  ...  Each miner chooses the transactions to be included in its block and trades off the transaction fees and probability of the collision.  ... 
arXiv:1902.10865v2 fatcat:5jfdmkrv5ze27boit7o4vbydle

A Proxy Server-Network for Real-Time Computer Games [chapter]

Jens Müller, Stefan Fischer, Sergei Gorlatch, Martin Mauve
2004 Lecture Notes in Computer Science  
In this paper we present a novel proxy server-network topology aiming at improved scalability of multiplayer games and low latency in client-server data transmission.  ...  Computer games played over the Internet have recently become an important class of distributed applications.  ...  For multiuser simulations in general and real-time computer games in particular, there is a trade off between responsiveness, scalability, and consistency.  ... 
doi:10.1007/978-3-540-27866-5_79 fatcat:3zk6vzgjsnfnvlvda3h4cqcw5u

Comparing properties of massively multiplayer online worlds and the Internet of Things

Kim Nevelsteen, Theo Kanter, Rahim Rahmani
2016 2016 IEEE Symposium on Computers and Communication (ISCC)  
Research into IoT was fueled by research in wireless sensor networks, but rather than start from a device perspective, this article looks at how architectures deal with interacting entities at large scale  ...  With the rise of the Internet of Things (IoT), this means recognizing the need for architectures to handle billions of devices and their interactions.  ...  In the IoT literature consulted, there was no mention of the consistency and responsiveness trade-off found in MMOWs.  ... 
doi:10.1109/iscc.2016.7543704 dblp:conf/iscc/NevelsteenKR16 fatcat:e6bdexlorrcixhpi6fo5j2amzu

Computational cognitive neuroscience of early memory development

Yuko Munakata
2004 Developmental Review  
These findings demonstrate computational trade-offs among different memory functions, such that a single system cannot specialize on more than one function.  ...  The developmental relevance of this framework is discussed-in the context of specific models, where available-for category learning, infantile amnesia and developmental amnesics, and the development of  ...  In sum, the specializations of prefrontal and posterior cortical regions, and the developmental implications, may be understood in terms of computational trade-offs between isolated and interactive representations  ... 
doi:10.1016/j.dr.2003.09.008 fatcat:va6vigyfy5bbhddau5rtn6ymrm

Managing latency and fairness in networked games

Jeremy Brun, Farzad Safaei, Paul Boustead
2006 Communications of the ACM  
In particular, first-person shooter, and to a lesser extent role-playing games impose stringent constraints on responsiveness and consistency.  ...  Networked games can be seen as forerunners of all kinds of participatory entertainment applications delivered through the Internet.  ...  Acknowledgments: This work is supported by the Telecommunications and Information Technology Research institute of the University of Wollongong and the Smart Internet Technology Cooperative Research Centre  ... 
doi:10.1145/1167838.1167861 fatcat:bd34sonfurb2fbybmsexb3c2zy

Challenges and enablers of augmented reality technology for in situ walkthrough applications

Ivan Mutis, Abhijeet Ambekar
2020 Journal of Information Technology in Construction  
In this research, an augmented reality (AR) approach was developed to evaluate and showcase the trade-offs between capacity, latency, and reliability for the technology.  ...  This project advances understanding of rapid implementations and the use of AR visualizations on job sites, utilizing significant progress in mobile and ubiquitous computing with faster central processing  ...  To reduce the high demand for computational power in the mobile device, trade-offs between offloading computing tasks to the cloud or to servers and network capability need to be considered.  ... 
doi:10.36680/j.itcon.2020.003 fatcat:gvv4dumpnfbgpmmuezskrk43cu

Agent-based Computational Economics [chapter]

2007 Adaptive Bidding in Single-Sided Auctions Under Uncertainty  
Keywords: Agent-based computational economics; autonomous agents; interaction networks; learning; evolution; mechanism design; computational experiments; object-oriented programming. * This survey is a  ...  Starting from initial conditions, specified by the modeler, the computational economy evolves over time as its constituent agents repeatedly interact with each other and learn from these interactions.  ...  Moreover, an interaction might consist of some kind of game situation in which the interacting partners have to choose actions strategically.  ... 
doi:10.1007/978-3-7643-8113-4_3 fatcat:vi2qfzzsnneo3p2l5jn6nvq6oi

Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning [article]

Thomas M. Moerland, Anna Deichler, Simone Baldi, Joost Broekens, Catholijn M. Jonker
2020 arXiv   pre-print
The importance of this trade-off has not been explicitly studied before.  ...  We show that it is actually of key importance, with computational results indicating that we should neither plan too long nor too short.  ...  The authors do mention that 'it is rational for the agent to invest in computation in order to save interaction', but do not further investigate this trade-off.  ... 
arXiv:2005.07404v1 fatcat:yv6pzmsiyvhqniaxib25ieziou

Distributed Cloud Computing

Yvonne Coady, Oliver Hohlfeld, James Kempf, Rick McGeer, Stefan Schmid
2015 Computer communication review  
In this paper, we revisit the vision of distributed cloud computing, and identify different use cases as well as research challenges.  ...  This article is based on the Dagstuhl Seminar on Distributed Cloud Computing, which took place in February 2015 at Schloss Dagstuhl.  ...  In his talk, Marc Shapiro gave an overview of the design space of distributed systems. He further highlighted interesting trade-offs between the strength of a consistency model and performance.  ... 
doi:10.1145/2766330.2766337 fatcat:girpjoy7cbfyzbgylqa77d47cy

Virtual Brokerage and Closure

Cuihua Shen, Peter Monge, Dmitri Williams
2012 Communication Research  
Results provided strong support for the structural model, demonstrating that players' network brokerage positively predicted their task performance in the game and players embedded in closed networks were  ...  Social networks were constructed from behavioral server logs of EverQuest II, a Massively Multiplayer Online Game.  ...  They also thank Muhammad Ahmad, Dora Cai, Janet Fulk, Zhiang Lin, Peter Robertson, and members of the Virtual Worlds Observatory for their help and comments.  ... 
doi:10.1177/0093650212455197 fatcat:inh6p6u34nhurmlpbropa4eigy

Agent-Based Computational Economics: Growing Economies from the Bottom Up

Leigh Tesfatsion
2002 Social Science Research Network  
Keywords: Agent-based computational economics; artificial life; learning; evolution of norms; markets; networks; parallel experiments with humans and computational agents; computational laboratories.  ...  Agent-based computational economics (ACE) is the computational study of economies modeled as evolving systems of autonomous interacting agents.  ...  Moreover, an interaction might consist of some kind of game situation in which the interacting partners have to choose actions strategically.  ... 
doi:10.2139/ssrn.305080 fatcat:zbljemhpwzbfhkuwc7rvdj4xja

Strategic Dialogue Management via Deep Reinforcement Learning [article]

Heriberto Cuayáhuitl, Simon Keizer, Oliver Lemon
2015 arXiv   pre-print
In this study, we apply DRL with a high-dimensional state space to the strategic board game of Settlers of Catan---where players can offer resources in exchange for others and they can also reply to offers  ...  Artificially intelligent agents equipped with strategic skills that can negotiate during their interactions with other natural or artificial agents are still underdeveloped.  ...  The trading behaviours of AI agents in computer games are usually based on carefully tuned rules [33] , search algorithms such as Monte-Carlo tree search [31, 9] , and reinforcement learning with tabular  ... 
arXiv:1511.08099v1 fatcat:z4i3h45dxbdgjkegv4f3t377vi
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