Gains up to 20% more wins against the baseline UCT player. The approach has been tested on a small cluster, giving performance SGA-based genetic algorithm has been designed for tweaking game parameters andĬonducting self-plays, so the features could be mined from meaningful game For they required an Euclidean metric, a small boardĮxtension to GDL has been defined through a set of ground atomic sentences. Spatial features inspired by similar successful techniques from computer Go A revised (m)GDL to C++ translation scheme has been reevaluated itīrought gains ranging from 28% to 7300% over YAP Prolog, managing to compileĮven demanding rule sheets under few seconds. Sheets conformed to mGDL without any modifications the rest required minorĬhanges. mGDLĪllows to easily map rules to C++ functions. In this publication mGDL, a variant of GDL stripped of functionĬonstants, has been defined as a basis for simple reasoning machines. Networks offer great performance gains over Prolog-based reasoning, but do not State-switching and weak knowledge modules. Quality of General Game Playing (GGP) matches suffers from slow
For the sampling algorithms, the results provide unique insights into their performance and identify favorable settings and domains for different sampling algorithms. For the exact algorithms, the results show that our pruning techniques for backward induction dramatically improve the computation time required by the previous exact algorithms. We perform a thorough experimental evaluation on six substantially different games for both settings.
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We evaluate the algorithms in two different settings: the offline case, where computational resources are abundant and closely approximating the optimal strategy is a priority, and the online search case, where computational resources are limited and acting quickly is necessary. The algorithms include exact backward induction methods with efficient pruning, as well as Monte Carlo sampling algorithms. In this paper, we describe both novel and existing algorithms that compute strategies for the class of two-player zero-sum simultaneous move games. This formalism has been used to express games in general game playing and can also model many discrete approximations of real-world scenarios.
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At each stage, a player does not know what action the other player will take, but otherwise knows the full state of the game. Simultaneous move games model discrete, multistage interactions where at each stage players simultaneously choose their actions. We also present the implementation of the proposed protocol in a latency sensitive gaming application, where the server is migrated live during the gameplay between hosts, transparently to the users, as a proof of concept and study the handover in detail.
In this paper, we study and compare the state of the art migration techniques offered by virtualization tools like docker and KVM and propose an application level migration protocol that eliminates the drawbacks of the former. This would enable minimum latency services, which require advanced migration techniques that facilitate not just quick but very frequent migrations. The paradigm shift from agnostic store-and-forward towards intelligent networks paves the ground for the mobile edge cloud – a concept to not only place cloud computing in close proximity to the users or things, such as in the base stations or even in access points in the houses, but also move the cloud with the user as the device moves along the network. Those technical requirements will be met by the 5G communication system, which is not only focusing on the future air interface but also the deployment in the core network. Future applications such as driverless cars, industrial Internet and smart grids will demand high bandwidth, resilience, security and low latency communication at the same time.
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