Analytical Tools for Investigating and Modeling Agent-Based Systems
作者： David Jensen , MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE
DOI: 10.21236/ADA436228
关键词:
摘要: Abstract : This research developed techniques for data analysis of multi-agent systems. The focused on how to analyze relational that represent sets interconnected agents, resources, and locations, as well the attributes these objects. Results include new algorithms knowledge discovery, fundamental discoveries about challenges opportunities constructing statistical models in data, software prototypes developed, a simulation environment evaluating techniques.
sci-hub.st 参考文章(83)
Lawrence A. Birnbaum, Gregg C. Collins, Proceedings of the eighth international workshop on Machine learning ,(1991)
Glenn Silverstein, Michael J. Pazzani, Relational clichés: Constraining constructive induction during relational learning Machine Learning Proceedings 1991. pp. 203- 207 ,(1991) , 10.1016/B978-1-55860-200-7.50044-1
Julian Besag, Statistical Analysis of Non-Lattice Data The Statistician. ,vol. 24, pp. 179- 195 ,(1975) , 10.2307/2987782
Robert F. Engle, ARCH: Selected Readings ,(1995)
Jennifer Neville, Ozgur Simsek, David Jensen, Autocorrelation and Relational Learning: Challenges and Opportunities Defense Technical Information Center. ,(2004) , 10.21236/ADA472226
Charles J. Geyer, Elizabeth A. Thompson, Constrained Monte Carlo Maximum Likelihood for Dependent Data Journal of the royal statistical society series b-methodological. ,vol. 54, pp. 657- 683 ,(1992) , 10.1111/J.2517-6161.1992.TB01443.X
Yiming Yang, Seán Slattery, Rayid Ghani, A Study of Approaches to Hypertext Categorization intelligent information systems. ,vol. 18, pp. 219- 241 ,(2002) , 10.1023/A:1013685612819
Lise Getoor, Benjamin Taskar, Nir Friedman, Daphne Koller, Learning Probabilistic Models of Relational Structure international conference on machine learning. pp. 170- 177 ,(2001)
Pedro Domingos, A Unified Bias-Variance Decomposition for Zero-One and Squared Loss national conference on artificial intelligence. pp. 564- 569 ,(2000)
David D. Jensen, Paul R. Cohen, Multiple Comparisons in Induction Algorithms Machine Learning. ,vol. 38, pp. 309- 338 ,(2000) , 10.1023/A:1007631014630