This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
R. Albert and A.L. Barab ási. Statistical mechanics of complex networks. Reviews of Modern Physics, 74:47-91, 2002.
. N. Angkawattanawit and A. Rungsawang. Learnable topic-specific web crawler. In A. Abraham, J. Ruiz-del-Solar, and M. K öppen, editors, Hybrid Intelligent Systems, pages 573-582. IOS Press, 2002.
A.L. Barab ási, R. Albert, and H. Jeong. Scale-free characteristics of random networks: The topology of the world wide web. Physica A, 281:69-77, 2000.
M. Bedau, J. McCaskill, N. Packard, S. Rasmussen, C. Adami, D. Green, T. Ikegami, K. Kaneko, and T. Ray. Open problems in artificial life. Artificial Life, 6:363-376, 2000.
D.L. Boley. Principal direction division partitioning. Data Mining and Knowledge Discovery, 2:325-244, 1998.
J. Cho and H. Garcia-Molina. Effective page refresh policies for web crawlers. ACM Transactions on Database Systems, 28(4):390-426, 2003.
C.W. Clark and M. Mangel. Dynamic State Variable Models in Ecology: Methods and Applications. Oxford University Press, Oxford UK, 2000.
P. Crucitti, V. Latora, M. Marchiori, and A. Rapisarda. Efficiency of scale-free networks: Error and attack tolerance. Physica A, 320:622-642, 2003.
V. Cs ányi. Evolutionary Systems and Society: A General Theory of Life, Mind, and Culture. Duke University Press, Durham, NC, 1989.
. J. Edwards, K. McCurley, and J. Tomlin. An adaptive model for optimizing performance of an incremental web crawler. In Proceedings of the tenth international conference on World Wide Web, pages 106-113, 2001.
J.M. Fryxell and P. Lundberg. Individual Behavior and Community Dynamics. Chapman and Hall, London, 1998.
. T. Joachims. A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization. In Douglas H. Fisher, editor, Proceedings of ICML-97, 14 th International Conference on Machine Learning, pages 143-151, Nashville, US, 1997. Morgan Kaufmann Publishers, San Francisco, US.
G. Kampis. Self-modifying Systems in Biology and Cognitive Science: A New Framework for Dynamics, Information and Complexity. Pergamon, Oxford UK, 1991.
J. Kennedy, R.C. Eberhart, and Y. Shi. Swarm Intelligence. Morgan Kaufmann, San Francisco, USA, 2001.
J. Kleinberg and S. Lawrence. The structure of the web. Science, 294:1849-1850, 2001.
I. K ókai and A. L őrincz. Fast adapting value estimation based hybrid architecture for searching the world-wide web. Applied Soft Computing, 2:11-23, 2002.
. R. Lempel and S. Moran. The stochastic approach for link-structure analysis (salsa) and the tkc effect. Computer Networks, 33, 2000.
A. L őrincz, I. K ókai, and A. Meretei. Intelligent high-performance crawlers used to reveal topic-specific structure of the WWW. Int. J. Founds. Comp. Sci., 13:477-495, 2002.
M.J. Mataric. Reinforcement learning in the multi-robot domain. Autonomous Robots, 4(1):73-83, 1997.
F. Menczer. Complementing search engines with online web mining agents. Decision Support Systems, 35:195-212, 2003.
E. Pachepsky, T. Taylor, and S. Jones. Mutualism promotes diversity and stability in a simple artificial ecosystem. Artificial Life, 8(1):5-24, 2002.
Zs. Palotai, B. G ábor, and A. L őrincz. Adaptive highlighting of links to assist surfing on the internet. Int. J. of Information Technology and Decision Making, 4:117-139, 2005.
S. Rasmussen, N.A. Baas, B. Mayer, M. Nilsson, and M.W. Olesen. Ansatz for dynamical hierarchies. Artificial Life, 7(4):329-354, 2001.
K. M. Risvik and R. Michelsen. Search engines and web dynamics. Computer Networks, 32:289-302, 2002.
W. Schultz. Multiple reward systems in the brain. Nature Review of Neuroscience, 1:199-207,2000.
R. Sutton. Learning to predict by the method of temporal differences. Machine Learning, 3:9-44, 1988.
R. Sutton and A.G. Barto. Reinforcement Learning: An Introduction. MIT Press, Cambridge, 1998.
. I. Szita and A. L őrincz. Kalman filter control embedded into the reinforcement learning framework. Neural Computation, 2003. (in press).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Palotai, Z., Mandusitz, S., Lórincz, A. (2006). Computer study of the evolution of ‘news foragers' on the Internet. In: Abraham, A., Grosan, C., Ramos, V. (eds) Swarm Intelligence in Data Mining. Studies in Computational Intelligence, vol 34. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-34956-3_9
Download citation
DOI: https://doi.org/10.1007/978-3-540-34956-3_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34955-6
Online ISBN: 978-3-540-34956-3
eBook Packages: EngineeringEngineering (R0)