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Leaderless Covert Networks: A Quantitative Approach
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]
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
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]
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]
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
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
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
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
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]
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
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
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
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]
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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