scholarly journals A unified view of parameterized verification of abstract models of broadcast communication

2016 ◽  
Vol 18 (5) ◽  
pp. 475-493 ◽  
Author(s):  
Giorgio Delzanno
Keyword(s):  
Broadcast Communication ◽  
Parameterized Verification ◽  
Unified View

Plasticity of the neural coding metaphor: An unnoticed rhetoric in scientific discourse

2019 ◽  
Vol 42 ◽  
Author(s):  
Giulia Frezza ◽  
Pierluigi Zoccolotti
Keyword(s):  
Discourse Analysis ◽  
Neural Coding ◽  
Scientific Discourse ◽  
Convincing Argument ◽  
Unified View ◽  
Brain Behavior

Abstract The convincing argument that Brette makes for the neural coding metaphor as imposing one view of brain behavior can be further explained through discourse analysis. Instead of a unified view, we argue, the coding metaphor's plasticity, versatility, and robustness throughout time explain its success and conventionalization to the point that its rhetoric became overlooked.

Program Fajar Indah Sebagai Media Dakwah dalam Meningkatkan Pemahaman Keagamaan Masyarakat

2020 ◽  
Vol 5 (1) ◽  
pp. 21-38
Author(s):  
FAISAL AKBAR ◽  
Syamsuddin RS ◽  
Dadan Anugrah
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Data Collection ◽  
Islamic Law ◽  
Public Trust ◽  
Broadcast Communication ◽  
Lecture Method ◽  
Radio Broadcast ◽  
Religious Understanding

Penelitian ini bertujuan untuk mengetahui metode Program Fajar Indah yang ada di Radio Citra Progo dalam meningkatkan pemahaman keagamaan masyarakat, mengetahui klasifikasi da’i pengisi program Fajar Indah, serta pesan dakwah dari program Fajar Indah. Penelitian ini menggunakan penelitian kualitatif dengan metode deskriptif. Pengumpulan data dalam penelitian ini menggunakan teknik observasi, wawancara dan dokumentasi. Analisis data digunakan penafsiran logika yang dihubungkan dengan konteks Komunikasi Penyiaran Islam. Hasil penelitian menunjukan bahwa Radio Citra Progo dalam program Fajar Indah menggunakan metode ceramah dengan pembawaan da’i yang santai ketika siaran. Adapun klasifikasi da’i dalam siaran dakwah ini, dapat dilihat dari wawasan keilmuan penyiar dalam menguasai Al Quran dan Hadist sebagai sumber hukum Islam dan kedisiplinan untuk menjalankan tugas sebagai da’i penyiar radio. Dalam siaran Program Fajar Indah terdapat pesan dakwah berupa materi Aqidah untuk meningkatkan kepercayaan masyarakat kepada Allah, mengimani rukun Iman dan rukun Islam, serta materi Akhlak yang diperintahkan oleh Allah dan dicontohkan oleh Nabi Muhammad SAW, materi Ibadah yang menyampaikan tatacara beribadah kepada Allah meliputi hukum pernikahan, hukum bertetangga, shodaqoh, sholat, puasa dan menyampaikan materi tentang hari-hari besar umat Islam. This study aims to determine the methods of the Beautiful Fajar Program on Radio Citra Progo in improving people's religious understanding, knowing the classification of preachers for the Fajar Indah program, and preaching messages from the Fajar Indah program. This study uses qualitative research with descriptive methods. Data collection in this study uses observation, interview and documentation techniques. Data analysis used the interpretation of logic connected with the context of Islamic Broadcast Communication. The results showed that Citra Progo Radio in the Fajar Indah program used a lecture method with a relaxed nature when broadcasting. The da'i classification in this da'wah broadcast, can be seen from the broadcaster's scientific insights in mastering the Qur'an and Hadith as a source of Islamic law and discipline to carry out their duties as radio broadcast preachers. In the broadcast of the Fajar Indah Program there is a da'wah message in the form of Aqeedah material to increase public trust in God, faith in the pillars of faith and pillars of Islam, as well as moral material ordered by God and exemplified by the Prophet Muhammad, the material of worship which conveys the procedure of worship to God including marriage law , neighborly law, shodaqoh, prayer, fasting and delivering material about the Muslim holidays.

Toward a unified view of media annotation

2002 ◽  
Vol 7 (5-6) ◽  
pp. 45-53
Author(s):  
Claude Christment ◽  
Florence Sèdes
Keyword(s):  
Unified View ◽  
Media Annotation

From Stove-pipe to Network Centric Leveraging Technology to Present a Unified View

2004 ◽  
Author(s):  
Medhat A. Abuhantash ◽  
Matthew V. Shoultz
Keyword(s):  
Unified View

scholarly journals A Unified View of Causal and Non-causal Feature Selection

2021 ◽  
Vol 15 (4) ◽  
pp. 1-46
Author(s):  
Kui Yu ◽  
Lin Liu ◽  
Jiuyong Li
Keyword(s):  
Feature Selection ◽  
Bayesian Network ◽  
Synthetic Data ◽  
Selection Methods ◽  
Bayesian Network Model ◽  
Real World Data ◽  
Feature Sets ◽  
Unified View ◽  
Optimal Feature ◽  
Different Levels

In this article, we aim to develop a unified view of causal and non-causal feature selection methods. The unified view will fill in the gap in the research of the relation between the two types of methods. Based on the Bayesian network framework and information theory, we first show that causal and non-causal feature selection methods share the same objective. That is to find the Markov blanket of a class attribute, the theoretically optimal feature set for classification. We then examine the assumptions made by causal and non-causal feature selection methods when searching for the optimal feature set, and unify the assumptions by mapping them to the restrictions on the structure of the Bayesian network model of the studied problem. We further analyze in detail how the structural assumptions lead to the different levels of approximations employed by the methods in their search, which then result in the approximations in the feature sets found by the methods with respect to the optimal feature set. With the unified view, we can interpret the output of non-causal methods from a causal perspective and derive the error bounds of both types of methods. Finally, we present practical understanding of the relation between causal and non-causal methods using extensive experiments with synthetic data and various types of real-world data.

scholarly journals Modelling ourselves: what the free energy principle reveals about our implicit notions of representation

Synthese ◽  
2021 ◽  
Author(s):  
Matt Sims ◽  
Giovanni Pezzulo
Keyword(s):  
Free Energy ◽  
Philosophy Of Mind ◽  
Predictive Processing ◽  
Energy Principle ◽  
Philosophical Debate ◽  
Free Energy Principle ◽  
Self Organized ◽  
Functional Aspects ◽  
Structural Content ◽  
Unified View

AbstractPredictive processing theories are increasingly popular in philosophy of mind; such process theories often gain support from the Free Energy Principle (FEP)—a normative principle for adaptive self-organized systems. Yet there is a current and much discussed debate about conflicting philosophical interpretations of FEP, e.g., representational versus non-representational. Here we argue that these different interpretations depend on implicit assumptions about what qualifies (or fails to qualify) as representational. We deploy the Free Energy Principle (FEP) instrumentally to distinguish four main notions of representation, which focus on organizational, structural, content-related and functional aspects, respectively. The various ways that these different aspects matter in arriving at representational or non-representational interpretations of the Free Energy Principle are discussed. We also discuss how the Free Energy Principle may be seen as a unified view where terms that traditionally belong to different ontologies—e.g., notions of model and expectation versus notions of autopoiesis and synchronization—can be harmonized. However, rather than attempting to settle the representationalist versus non-representationalist debate and reveal something about what representations are simpliciter, this paper demonstrates how the Free Energy Principle may be used to reveal something about those partaking in the debate; namely, what our hidden assumptions about what representations are—assumptions that act as sometimes antithetical starting points in this persistent philosophical debate.

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