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» Development and Application of a Formal Agent Framework
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JAIR
1998
198views more  JAIR 1998»
15 years 3 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
SIMULATION
2010
178views more  SIMULATION 2010»
14 years 10 months ago
Application-level Simulation for Network Security
We introduce and describe a novel network simulation tool called NeSSi (Network Security Simulator). NeSSi incorporates a variety of features relevant to network security distingu...
Stephan Schmidt, Rainer Bye, Joël Chinnow, Ka...
AGENTS
1999
Springer
15 years 8 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
GG
2010
Springer
15 years 5 months ago
Multi-Amalgamation in Adhesive Categories
Abstract. Amalgamation is a well-known concept for graph transformations in order to model synchronized parallelism of rules with shared subrules and corresponding transformations....
Ulrike Golas, Hartmut Ehrig, Annegret Habel
HPCS
2007
IEEE
15 years 10 months ago
Semantically Enabling the Global Geodynamics Project: Incorporating Feature-Based Annotations via XML Pointer Language (XPointer
Earth Science Markup Language (ESML) is efficient and effective in representing scientific data in an XML-based formalism. However, features of the data being represented are no...
L. Ian Lumb, J. I. Lederman, J. R. Freemantle, Kei...