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» Integrating Agent Models and Dynamical Systems
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ATAL
2003
Springer
15 years 11 months ago
Scenario description for multi-agent simulation
Making it easier to design interactions between agents and humans is essential for realizing multi-agent simulations of social phenomena such as group dynamics. To realize large-s...
Yohei Murakami, Toru Ishida, Tomoyuki Kawasoe, Rei...
NN
2002
Springer
208views Neural Networks» more  NN 2002»
15 years 6 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
SIGMOD
2007
ACM
144views Database» more  SIGMOD 2007»
16 years 6 months ago
The TopX DB&IR engine
This paper proposes a demo of the TopX search engine, an extensive framework for unified indexing, querying, and ranking of large collections of unstructured, semistructured, and ...
Martin Theobald, Ralf Schenkel, Gerhard Weikum
WSC
2008
15 years 8 months ago
Modeling and simulation of e-mail social networks: A new stochastic agent-based approach
Understanding how the structure of a network evolves over time is one of the most interesting and complex topics in the field of social networks. In our attempt to model the dynam...
Fabian Menges, Bud Mishra, Giuseppe Narzisi
BMCBI
2010
141views more  BMCBI 2010»
15 years 6 months ago
BioPhysConnectoR: Connecting Sequence Information and Biophysical Models
Background: One of the most challenging aspects of biomolecular systems is the understanding of the coevolution in and among the molecule(s). A complete, theoretical picture of th...
Franziska Hoffgaard, Philipp Weil, Kay Hamacher