Biologically Inspired Cooperative Computing
IFIP 19th World Computer Congress, TC 10: 1st IFIP International Conference on Biologically Inspired Cooperative Computing, August 21-24, 2006, Santiago, Chile
This volume presents proceedings from the 19th IFIP World Computer Congress in Santiago, Chile. The proceedings of the World Computer Congress are a product of the gathering of 2,000 delegates from more than 70 countries to discuss a myriad of topics in the ICT domain. Of particular note, this marks the first time that a World Computer Congress has been held in a Latin American country. 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 Ad-Hoc Networking 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.
- ISBN 13 : 0387346325
- ISBN 10 : 9780387346328
- Judul : Biologically Inspired Cooperative Computing
- Sub Judul : IFIP 19th World Computer Congress, TC 10: 1st IFIP International Conference on Biologically Inspired Cooperative Computing, August 21-24, 2006, Santiago, Chile
- Pengarang : Yi Pan, Franz J. Rammig, Hartmut Schmeck,
- Kategori : Computers
- Penerbit : Springer Science & Business Media
- Bahasa : en
- Tahun : 2006
- Halaman : 210
- Halaman : 210
- Google Book : http://books.google.co.id/books?id=85DwlgH0ZzQC&dq=intitle:cooperative+learning&hl=&source=gbs_api
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Ketersediaan :
We present a socially inspired approach that allows agents in Multi-Agent
Systems to speed up their own learning process through communication.
Thereby, they are able to trade off impact of knowledge by mutation dependent
on the recent performance of the interacting agents. This is inspired by social
interaction of humans, where the opinions of experts have greater impact on the
overall opinion and are incorporated more exactly than those of newbies. The
approach is ...