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    Punishment Normative Systems

    , M.Sc. Thesis Sharif University of Technology Feghhi, Saman (Author) ; Ramezanian, Rasoul (Supervisor)
    Abstract
    In real life, we can not always expect agents and authorities to have the same desires. Also when it comes to conflicts, agents always tend to break the authorities’ norms to follow their own strategies. Hence we can not expect strict norms to model an actual real life situation.In this article we introduce punishment normative systems, based on multi-agent Marokov chain processes (MMDPs). We try to extend the punishment idea to be also applicable on long-run and infinite strategies. We consider a version of the multi-agent model that is widely used in different situations and then provide an algorithm to find a fair normative system that distributes obligations equally on the agents, while... 

    The Impact of Negative/Positive Emotions on English Language Teachers` Identity: A Mixed-Method Research

    , M.Sc. Thesis Sharif University of Technology Orouji, Vida (Author) ; Rezaei, Saeed (Supervisor)
    Abstract
    This study was a mixed-method research into the impact of emotions on the professional identities of teachers. The researcher followed Zembylas (2005a, 2005b) in conducting this study following the argument that politics and disciplinary power affect every aspect of teachers` life, hence their emotions and professional identities. Foucault (1975, 1984) was the source of theoretical underpinning in this study. The researcher used an open written interview, an attitudinal questionnaire, and a written narrative inquiry to collect the required data. Ten English language teachers (8 English Institute teachers, 2 public school teachers) took part in the first phase. One-hundred teachers from both... 

    Distributed Cache Management Using Reinforcement Learning based Strategies

    , M.Sc. Thesis Sharif University of Technology Yousefi Ramandi, Amir Hossein (Author) ; Mir Mohseni, Mahtab (Supervisor) ; Maddah Ali, Mohammad Ali (Supervisor)
    Abstract
    Nowadays, video on demand causes a drastic increase in network traffic that it is expected that network traffic surpasses 45 exabytes per month until 2022; consequently, utilizing distributed memories known as caches across the network to alleviate the communication load during peak hours is inevitable. Coded caching is a promising approach to mitigate and smooth traffic during peak hours in the communication network in a way that it creates coded multicasting opportunities in addition to delivering content to users locally. However, it suffers from imposed delay resulting from coding that makes this approach infeasible for delay-sensitive contents, namely video streaming applications. So...