Haim Shapira je uznávaným izraelským autorem a přednášejícím, který zkoumá průsečík matematiky, psychologie a filozofie. Jeho práce se zabývá základními lidskými motivacemi a rozhodovacími procesy, přičemž využívá principy teorie her k osvětlení složitosti mezilidských vztahů. Prostřednictvím svých poutavých vyprávění a hlubokých vhledů nabízí čtenářům nový pohled na to, jak funguje svět kolem nás. Jeho schopnost propojit zdánlivě nesouvisející obory činí z jeho děl jedinečnou a obohacující četbu.
In the Book of Ecclesiastes the main character, already rich in material wealth, seeks wisdom and looks upon the lessons of his own life. Inspired by that search, bestselling philosopher Haim Shapira muses on the perennial questions most relevant to our lives.
Told in a positive, no-nonsense tone, this is the ultimate tour of philosophers, artists and academics throughout the ages by philosopher Haim Shapira.
Delving into the concept of happiness, Haim Shapira examines various theories and insights that illuminate the challenges encountered in the pursuit of personal joy. Through thoughtful exploration, he addresses the complexities and conflicts that arise, guiding readers on their journey to understanding and cultivating their own happiness.
This book provides many humorous anecdotes and insightful examples of how our daily lives are affected by Game Theory. Game Theory is the mathematical formalization of interactive decision-making - it assumes that each player's goal is to maximize his/her benefit, whatever it may be.
How to Beat the Odds and Make Better Decisions
Offering a lighthearted approach to the often complex subjects of probability and statistics, this guide reveals how these concepts can be applied in daily life. Written by a renowned expert in game theory, it aims to make these topics accessible and enjoyable, helping readers understand and utilize statistical thinking in practical situations.
A fun, non-technical and wonderfully engaging guide to that most powerful and mysterious of mathematical concepts: infinity.