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PLATO ON PAIN David Conan Wolfsdorf - Sites

https://sites.temple.edu/dwolf/files/2020/06/Plato-on-Pain.pdf

In various passages of his corpus Plato’s dramatic characters discuss pain. With respect to what pain is, including what kinds of pain there are, the most incisive discussions occur at Republic 583-587, Philebus 31-55, and Timaeus 64-65.1 The foci of these passages dif-fer from one another and do so in several ways. First the Republic and Philebus passages focus on pleasure. However Plato ...

CIS587: The Wumpus World - Temple University

https://cis.temple.edu/~ingargio/cis587/readings/wumpus.shtml

A variety of "worlds" are being used as examples for Knowledge Representation, Reasoning, and Planning. Among them the Vacuum World, the Block World, and the Wumpus World. We will examine the Wumpus World and in this context introduce the Situation Calculus, the Frame Problem, and a variety of axioms.

MATRICES M - Temple University

https://cis.temple.edu/~latecki/Courses/CIS2166-Fall16/Lectures/MatrixAlg1.pdf

A matrix is a rectangular array of numbers or other mathematical objects, for which operations such as addition and multiplication are defined. Most of this article focuses on real matrices, i.e., matrices whose elements are real numbers. For instance, this is a real matrix: The numbers, symbols or expressions in the matrix are called its entries or its elements. The horizontal and vertical ...

Mutual Risk Sharing and Fintech: The Case of Xiang Hu Bao

https://www.fox.temple.edu/sites/fox/files/documents/Cummins%20Conference%202022/XiangHuBao-main-2022-03-23.pdf

Abstract Xiang Hu Bao (XHB), meaning ‘mutual treasury’ in Chinese, is a novel online mutual aid platform operated by Alibaba’s Ant Financial to facilitate risk sharing of critical illness exposures. XHB reached nearly 100 million members in less than one year since its launch and ofered its mem-bers critical illness protections at significantly lower cost than traditional critical ...

2.3A.ppt - Temple University

https://cis.temple.edu/~latecki/Courses/RobotFall08/Talks/LinearProgramming.pdf

A small business makes 3-speed and 10-speed bicycles at two different factories. Factory A produces 16 3-speed and 20 10-speed bikes in one day while factory B produces 12 3-speed and 20 10-speed bikes daily. It costs $1000/day to operate factory A and $800/day to operate factory B. An order for 96 3-speed bikes and 140 10-speed bikes has just ...

FW_web.pdf - Temple University

https://community.mis.temple.edu/mis5206sec001fall2021/files/2017/08/ISACA_Risk-IT-Framework_fmk_Eng_0610.pdf

The table’s intent is to provide a one-page overview of the main communication flows on IT risk that should exist in one form or another in any enterprise. More detailed information, e.g., source and destination of information, can be found in the Risk IT process descriptions, in the input and output tables.

Balancing Privacy and Accuracy using Significant Gradient Protection in ...

https://cis.temple.edu/~wu/research/publications/Publication_files/J-CT-2024-Balancing%20Privacy%20and%20Accuracy%20using%20Siginificant%20Gradient%20Protection%20in%20Federated%20Learning.pdf

Abstract—Previous state-of-the-art studies have demonstrated that adversaries can access sensitive user data by membership inference attacks (MIAs) in Federated Learning (FL). Intro-ducing differential privacy (DP) into the FL framework is an effective way to enhance the privacy of FL. Nevertheless, in differentially private federated learning (DP-FL), local gradients become excessively ...

Potts Models and Protein Covariation - Temple University

https://ronlevygroup.cst.temple.edu/courses/2017_spring/chem5412/lectures/Lecture4_SBII_2017.pdf

Using Protein-sequence-variation profitably Correlated Mutations and Structural Contacts

Distributed Deep Multi-Agent Reinforcement Learning for Cooperative ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/Distributed_Deep_Multi-Agent_Reinforcement_Learning_for_Cooperative_Edge_Caching_in_Internet-of-Vehicles.pdf

Abstract—Edge caching is a promising approach to reduce duplicate content transmission in Internet-of-Vehicles (IoVs). Sev-eral Reinforcement Learning (RL) based edge caching methods have been proposed to improve the resource utilization and reduce the backhaul trafic load. However, they only obtain the local sub-optimal solution, as they neglect the influence from environments by other ...