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Understanding the Game Theory in Poker

https://sites.temple.edu/gametheory/2024/04/22/understanding-the-game-theory-in-poker/

One of the foundational concepts in game theory applied to poker is the Nash Equilibrium, named after mathematician John Nash. In poker terms, Nash Equilibrium occurs when a player’s strategy is optimal, considering the strategies of their opponents.

Mindy Shi's Homepage at Temple University

https://cis.temple.edu/~mindyshi/

Recently celebrating its 50th year anniversary, CIS@Temple is one of the oldest computer science departments in the country and is experiencing tremendous growth in its research and academic programs.

A Faculty Guide to A.I. - Center for the Advancement of Teaching

https://teaching.temple.edu/teaching-technologies/faculty-guide-ai

One approach to addressing generative AI in your classes is to encourage students to use the tools to meet course learning goals, for example, by having students experiment with prompt writing or using text generation tools as part of their writing process.

CIS587: The Wumpus World - Temple University

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

The Frame Problem is concerned with the question of what happens to the truth-value of the statements that describe the world as we go from one world to the world resulting by application of an action.

The Philadelphia County Medical Society Celebrates Temple's Dr. Natalia ...

https://www.templehealth.org/about/news/the-philadelphia-county-medical-society-celebrates-temples-dr-natalia-ortiz-torrent

They’ve taken the helm of PCMS during one of the most challenging times for health and welfare in the City in decades — and that’s a real confidence-builder for Philadelphia,” says Amy Goldberg, MD, FACS, the School’s Interim Dean.

Zhanteng Xie, Pujie Xin, and Philip Dames - Sites

https://sites.temple.edu/trail/files/2021/11/XieXinDamesIROS2021.pdf

mulatio (a) Lobby world (b) Square world as one configuration with 34 pedestrians. The green curve is the robot traje al forces, to simulate pedestrian motion. This section describes this setup in greater detail, presents the procedure we used to train our network, nd compares the results to other methods.

Filling Polygons - Temple University

https://cis.temple.edu/~latecki/Courses/CIS581-02/MatCIS581-02/LectureHolzschuch/FillingPolygons.pdf

• Something simpler may suffice: Bresenham Polygon edge Scanline-edge intersection • Moving from one scanline to the next: x+= 1/m – with m, the slope of the edge: m = (y