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CONTEXT
2001
Springer
14 years 1 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
IFM
2010
Springer
147views Formal Methods» more  IFM 2010»
13 years 6 months ago
Symbolic Model-Checking of Optimistic Replication Algorithms
Abstract. The Operational Transformation (OT) approach, used in many collaborative editors, allows a group of users to concurrently update replicas of a shared object and exchange ...
Hanifa Boucheneb, Abdessamad Imine, Manal Najem
CALCO
2009
Springer
158views Mathematics» more  CALCO 2009»
14 years 3 months ago
Coalgebraic Symbolic Semantics
The operational semantics of interactive systems is usually described by labeled transition systems. Abstract semantics (that is defined in terms of bisimilarity) is characterized...
Filippo Bonchi, Ugo Montanari
ATVA
2007
Springer
136views Hardware» more  ATVA 2007»
14 years 2 months ago
Symbolic Fault Tree Analysis for Reactive Systems
Fault tree analysis is a traditional and well-established technique for analyzing system design and robustness. Its purpose is to identify sets of basic events, called cut sets, wh...
Marco Bozzano, Alessandro Cimatti, Francesco Tappa...
IWANN
2005
Springer
14 years 2 months ago
Modeling Neural Processes in Lindenmayer Systems
Computing in nature as is the case with the human brain is an emerging research area in theoretical computer science. The present paper’s aim is to explore biological neural cell...
Carlos Martín-Vide, Tseren-Onolt Ishdorj