Carleton University, Ottawa, Canada
Topics in this series include:
The 4th International Conference on Theoretical Computer Science
Education for the 21st Century- Impact of ICT and Digital Resources
Mobile and Wireless Communication Networks
Network Control and Engineering for QoS, Security, and Mobility
The Past and Future of Information Systems: 1976-2006 and Beyond
History of Computing and Education
Biologically Inspired Cooperative Computing
Artificial Intelligence in Theory and Practice
Applications in Artificial Intelligence
Advanced Software Engineering: Expanding the Frontiers of Software
For a complete list of the more than 300 titles in the IFIP Series, visit springer.com.
For more information about IFIP, please visit ifip.org.
All our lives are constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such problems for decades. And the solutions they've found have much to teach us.
In a dazzlingly interdisciplinary work, acclaimed author Brian Christian (who holds degrees in computer science, philosophy, and poetry, and works at the intersection of all three) and Tom Griffiths (a UC Berkeley professor of cognitive science and psychology) show how the simple, precise algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.