| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910484317603321 |
|
|
Titolo |
Biologically-Inspired Collaborative Computing : IFIP 20th World Computer Congress, Second IFIP TC 10 International Conference on Biologically-Inspired Collaborative Computing, September 8-9, 2008, Milano, Italy / / edited by Mike Hinchey, Anastasia Pagnoni, Franz J. Rammig, Hartmut Schmeck |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
New York, NY : , : Springer US : , : Imprint : Springer, , 2008 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
|
|
Edizione |
[1st ed. 2008.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XII, 246 p.) |
|
|
|
|
|
|
Collana |
|
IFIP Advances in Information and Communication Technology, , 1868-422X ; ; 268 |
|
|
|
|
|
|
|
|
Altri autori (Persone) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Computer science |
Bioinformatics |
Artificial intelligence |
Theory of Computation |
Computational and Systems Biology |
Artificial Intelligence |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Bibliographic Level Mode of Issuance: Monograph |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
Keynote Presentations -- Swarm Robotics: The Coordination of Robots via Swarm Intelligence Principles -- Immuno-engineering -- Inspiration Based on Insect Behaviors -- Heuristics for Uninformed Search Algorithms in Unstructured P2P Networks Inspired by Self-Organizing Social Insect Models -- Congestion Control in Ant Like Moving Agent Systems -- Resource-Aware Clustering of Wireless Sensor Networks Based on Division of Labor in Social Insects -- Sensors, Actuators and Networks -- Self-stabilizing Automata -- Experiments with Biologically-Inspired Methods for Service Assignment in Wireless Sensor Networks -- Robotics and Multi-Agent Systems -- Evolving Collision Avoidance on Autonomous Robots -- Local Strategies for Connecting Stations by Small Robotic Networks -- Measurement of Robot Similarity to Determine the Best Demonstrator for Imitation in a Group of |
|
|
|
|
|
|
|
|
|
|
|
Heterogeneous Robots -- Distributed Fault-Tolerant Robot Control Architecture Based on Organic Computing Principles -- Immunocomputing and Biological-Inspiration -- Intrusion Detection via Artificial Immune System: a Performance-based Approach -- Immuno-repairing of FPGA designs -- An Organic Computing Approach to Sustained Real-time Monitoring -- Applications -- A Case Study in Model-driven Synthetic Biology -- Image Segmentation by a Network of Cortical Macrocolumns with Learned Connection Weights -- Integrating Emotional Competence into Man-Machine Collaboration -- Hardware Issues -- Self-optimized Routing in a Network on-a-Chip -- On Robust Evolution of Digital Hardware -- Collaboration -- A Model of Self-Organizing Collaboration -- Guiding Exploration by Combining Individual Learning and Imitation in Societies of Autonomous Robots. |
|
|
|
|
|
|
Sommario/riassunto |
|
International Federation for Information Processing The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of refereed international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing. For more information about the 300 other books in the IFIP series, please visit www.springer.com. For more information about IFIP, please visit www.ifip.org. |
|
|
|
|
|
|
|
| |