531 research outputs found
In Situ Engineering and Characterization of Correlated Materials with Integrated OMBE–ARPES
Oxide molecular beam epitaxy has emerged as an effective technique to fabricate complex oxide thin films and novel superlattices with atomic‐level precision. In this chapter, we first briefly introduce the oxide molecular beam epitaxy technique and then show how to use this technique to achieve high‐quality thin films with good stoichiometry. Moreover, we exhibit that the combination of oxide molecular beam epitaxy and in situ angle‐resolved photoemission spectroscopy is indeed a versatile toolkit to tailor and characterize properties of novel quantum materials
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality
Optimizing strategic decisions (a.k.a. computing equilibrium) is key to the
success of many non-cooperative multi-agent applications. However, in many
real-world situations, we may face the exact opposite of this game-theoretic
problem -- instead of prescribing equilibrium of a given game, we may directly
observe the agents' equilibrium behaviors but want to infer the underlying
parameters of an unknown game. This research question, also known as inverse
game theory, has been studied in multiple recent works in the context of
Stackelberg games. Unfortunately, existing works exhibit quite negative
results, showing statistical hardness and computational hardness, assuming
follower's perfectly rational behaviors. Our work relaxes the perfect
rationality agent assumption to the classic quantal response model, a more
realistic behavior model of bounded rationality. Interestingly, we show that
the smooth property brought by such bounded rationality model actually leads to
provably more efficient learning of the follower utility parameters in general
Stackelberg games. Systematic empirical experiments on synthesized games
confirm our theoretical results and further suggest its robustness beyond the
strict quantal response model
Logging practices in software engineering : A systematic mapping study
Background: Logging practices provide the ability to record valuable runtime information of software systems to support operations tasks such as service monitoring and troubleshooting. However, current logging practices face common challenges. On the one hand, although the importance of logging practices has been broadly recognized, most of them are still conducted in an arbitrary or ad-hoc manner, ending up with questionable or inadequate support to perform these tasks. On the other hand, considerable research effort has been carried out on logging practices, however, few of the proposed techniques or methods have been widely adopted in industry. Objective: This study aims to establish a comprehensive understanding of the research state of logging practices, with a focus on unveiling possible problems and gaps which further shed light on the potential future research directions. Method: We carried out a systematic mapping study on logging practices with 56 primary studies. Results: This study provides a holistic report of the existing research on logging practices by systematically synthesizing and analyzing the focus and inter-relationship of the existing research in terms of issues, research topics and solution approaches. Using 3W1H — Why to log , Where to log , What to log and How well is the logging —as the categorization standard, we find that: (1) the best known issues in logging practices have been repeatedly investigated; (2) the issues are often studied separately without considering their intricate relationships; (3) the Where and What questions have attracted the majority of research attention while little research effort has been made on the Why and How well questions; and (4) the relationships between issues, research topics, and approaches regarding logging practices appear many-to-many, which indicates a lack of profound understanding of the issues in practice and how they should be appropriately tackled. Conclusions: This study indicates a need to advance the state of research on logging practices. For example, more research effort should be invested on why to log to set the anchor of logging practices as well as on how well is the logging to close the loop. In addition, a holistic process perspective should be taken into account in both the research and the adoption related to logging practices
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