Results for 'Priyanka Agrawal'

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  1. Maxim Consequentialism for Bounded Agents.Mayank Agrawal & David Danks - manuscript
    Normative moral theories are frequently invoked to serve one of two distinct purposes: (1) explicate a criterion of rightness, or (2) provide an ethical decision-making procedure. Although a criterion of rightness provides a valuable theoretical ideal, proposed criteria rarely can be (nor are they intended to be) directly translated into a feasible decision-making procedure. This paper applies the computational framework of bounded rationality to moral decision-making to ask: how ought a bounded human agent make ethical decisions? We suggest agents ought (...)
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  2.  41
    Shankarāchārya evam Bradley ke Darshan mean Nirapekṣha evam Ishvar ke Sampratyaya kā Anushīlan.Priyanshu Agrawal - 2020 - Drishtikon 1:1799-1802.
    प्रस्तुत शोध-पत्र निरपेक्ष अथवा ब्रह्म एवं ईश्वर के संप्रत्यय को व्यापक रूप से शंकराचार्य एवं ब्रैडले के दर्शन के संदर्भ में विवेचित करता है। भारतीय एवं पाश्चात्य जगत के मूर्धन्य विद्वानों विशेषकर शंकराचार्य एवं ब्रैडले के निरपेक्ष एवं ईश्वर संबंधी विचारों में निहित साम्यताओं एवं वैषम्यताओं का अनुशीलन करना, इस शोध-पत्र का मुख्य उद्देश्य है। इस हेतु शोध-पत्र के अंतर्गत सर्वप्रथम यह विमर्श किया गया है कि क्यों उक्त दोनों दार्शनिकों के संदर्भ में ही ब्रह्म एवं ईश्वर की अवधारणा का (...)
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  3. Alternative Definitions of Epistasis: Dependence and Interaction.Michael J. Wade, Rasmus Grønfeldt Winther, Aneil F. Agrawal & Charles J. Goodnight - 2001 - Trends in Ecology and Evolution 16 (9):498-504.
    Although epistasis is at the center of the Fisher-Wright debate, biologists not involved in the controversy are often unaware that there are actually two different formal definitions of epistasis. We compare concepts of genetic independence in the two theoretical traditions of evolutionary genetics, population genetics and quantitative genetics, and show how independence of gene action (represented by the multiplicative model of population genetics) can be different from the absence of gene interaction (represented by the linear additive model of quantitative genetics). (...)
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