[PDF] Top 20 Reasoning on the response of logical signaling networks with Answer Set Programming
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Reasoning on the response of logical signaling networks with Answer Set Programming
... In the context of logic-based models, the inference of Boolean (genetic) networks from time-series gene expression data has been addressed by several authors under dif- ferent ... Voir le document complet
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Reasoning on the response of logical signaling networks with answer set programming
... Boolean networks and slight variations ...among the simplest computa- tional abstractions (after causal interaction ...layers of complexity yielding more precise descriptions [Wittmann et ...in ... Voir le document complet
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Learning Boolean logic models of signaling networks with ASP
... Notably, the inference of Boolean networks have been addressed by several authors under different hy- potheses and methods as we show in Section ...on the problem initially described in ... Voir le document complet
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Revisiting the Training of Logic Models of Protein Signaling Networks with a Formal Approach based on Answer Set Programming
... is the construc- tion and training to data of mathematical ...model signaling networks because their simplicity allows us to model large systems encompassing hundreds of ...using ... Voir le document complet
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Big Brother Logic: Logical modeling and reasoning about agents equipped with surveillance cameras in the plane
... reality the agents and their cameras are often mobile, not stationary. The simplest way to capture that feature is to consider the same logical languages over geometric mod- els that only ... Voir le document complet
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Big Brother Logic: Logical modeling and reasoning about agents equipped with surveillance cameras in the plane
... reality the agents and their cameras are often mobile, not stationary. The simplest way to capture that feature is to consider the same logical languages over geometric mod- els that only ... Voir le document complet
9
Reasoning about negligibility and proximity in the set of all hyperreals
... Variants of FOG have been later introduced in order, for example, to incorporate numeric information [10] or to relate together different types of order-of-magnitude knowledge [21] ...wrong ... Voir le document complet
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Statistical reasoning with set-valued information : Ontic vs. epistemic views
... A set S defined in extension, is often denoted by listing its elements, say, in the finite case { s 1 , s 2 , ...a set represents a real complex lumped entity. It is then a conjunction of its ... Voir le document complet
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Signaling in the immune response.
... Alleles of nsy-1 and sek-1 were found in a genetic screen for worms hyper-susceptible to ...and the two genes were shown to act together upstream of pmk-1 ...one of the worm's three ... Voir le document complet
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Automated reasoning in metabolic networks with inhibition
... Abstract. The use of artificial intelligence to represent and reason about metabolic networks has been widely investigated due to the complexity of their ...determine the ... Voir le document complet
13
Statistical reasoning with set-valued information : Ontic vs. epistemic views
... A set S defined in extension, is often denoted by listing its elements, say, in the finite case { s 1 , s 2 , ...a set represents a real complex lumped entity. It is then a conjunction of its ... Voir le document complet
18
An attempt to set the framework of Model-Oriented Programming
... address the most frequent case where one business model is ...concerns of an application is very similar to approaches by separation of concerns ...model-oriented programming, concerns are ... Voir le document complet
7
Reasoning about Dynamic Networks of Infinite-State Processes with Global Synchronization
... lack of space, proofs and presentation of examples are given in ...work: The use of unbounded Petri nets as models for parametrized networks of processes has been proposed in ... Voir le document complet
26
NeuMiss networks: differentiable programming for supervised learning with missing values
... NeuMiss networks are robust to the missing data mechanism We now evaluate the performance of NeuMiss networks compared to other methods under various missing values ...mechanisms. ... Voir le document complet
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Swarm-Oriented Programming of Distributed Robot Networks
... From the computational point of view, Buzz sees a robot swarm as a discrete collection of interacting ...instance of the Buzz Virtual Machine (BVM), on which a Buzz script is ...In ... Voir le document complet
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Reasoning with Triggers
... deciding the satisfiabil- ity of ground formulas modulo combinations of built-in theories such as linear arithmetic, arrays, bit-vectors ...top of a SAT solver which handles propositional ... Voir le document complet
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Savage's response to Allais as Broomean reasoning
... examines the relationship between rationality and ...knowledge of a particular requirement, you can reason your way actively to satisfying that requirement’ (2013: 208–209), and asks whether that belief is ... Voir le document complet
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Reasoning with Ontologies
... at the crossroads of sev- eral domains, namely data management, knowledge representation and reasoning, and the Semantic ...before the widespread adoption of the framework ... Voir le document complet
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Qualitative Reasoning for Reaction Networks with Partial Kinetic Information
... provides the usual flux balance equations and additional equations with variables for kinetic functions, that are subject to similarity ...constraints. The steady state semantics ensures that ... Voir le document complet
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Automated reasoning in metabolic networks with inhibition
... extending the language used to define domain formulas, introducing for example the notion of time as in ...huge the cells metabolic networks have become. One of the ... Voir le document complet
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