Modeling believable autonomous agents needs to take into account many different aspects from very different disciplines, ranging from cognitive psychology to mechanics. In this paper, we focus on research work dedicated to the modeling of human decision in a reactive way, a domain in-between the bio
Algorithms to Live By: The Computer Science of Human Decisions
β Scribed by Kenny, Aisling; Wollenberg, Susan
- Publisher
- HarperCollins Publishers
- Year
- 2016;2017
- Tongue
- English
- Weight
- 495 KB
- Edition
- 1
- Category
- Fiction
- ISBN-13
- 9780367879440
No coin nor oath required. For personal study only.
β¦ Synopsis
A fascinating exploration of how computer algorithms can be applied to our everyday lives. What should we do, or leave undone, in a day or a lifetime? Exploring how insights from computer algorithms can be applied to our everyday lives, 'Algorithms To Live By' helps to solve common decision-making problems and illuminate the workings of the human mind. When should you switch between different tasks, and how many tasks should you take on in the first place? How much messiness should you accept? What balance of new activities and familiar favourites is the most fulfilling? When computers face constraints of time and space, they too must untangle very human questions: how to have better hunches, when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. And the solutions they've found have much to teach us. Acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms developed for computers can be applied from finding your spouse to finding a parking spot, from organizing your inbox to understanding the workings of memory. Where you have a dilemma, they have a rule, and each fascinating algorithm turns the wisdom of computer science into strategies for human living.
π SIMILAR VOLUMES
Aiming at the use of hand gestures for human-computer interaction, this paper presents a real-time approach to the spotting, representation, and recognition of hand gestures from a video stream. The approach exploits multiple cues including skin color, hand motion, and shape. Skin color analysis and