Filters








67,288 Hits in 5.1 sec

Reactive rules inference from dynamic dependency models

Asaf Adi, Opher Etzion, Dagan Gilat, Royi Ronen, Guy Sharon, Inna Skarbovsky
2004 Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters - WWW Alt. '04  
Defining dependency models is sometimes an easier, more intuitive way for ontology representation than defining reactive rules directly, as it provides a higher level of abstraction.  ...  Inference of rules for dynamic dependency models, where dependencies and entities may be inserted, deleted and updated. We use the eTrade example in order to exemplify those capabilities.  ...  The vision is having an easy to use tool for modeling multi-level dependencies, intelligently infer reactive rules from the model and visualize it.  ... 
doi:10.1145/1013367.1013411 dblp:conf/www/AdiEGRSS04 fatcat:dxsms5towbgjjntthm52itpaeu

Reactive rules inference from dynamic dependency models

Asaf Adi, Opher Etzion, Dagan Gilat, Royi Ronen, Guy Sharon, Inna Skarbovsky
2004 Alternate track papers & posters of the 13th international conference on World Wide Web - WWW Alt. '04  
Defining dependency models is sometimes an easier, more intuitive way for ontology representation than defining reactive rules directly, as it provides a higher level of abstraction.  ...  Inference of rules for dynamic dependency models, where dependencies and entities may be inserted, deleted and updated. We use the eTrade example in order to exemplify those capabilities.  ...  The vision is having an easy to use tool for modeling multi-level dependencies, intelligently infer reactive rules from the model and visualize it.  ... 
doi:10.1145/1010432.1010476 fatcat:4mlbcltringgllwvberuiqwde4

Developing an expert system integrated into the information portal to evaluate reactivity of organic molecules in radical reactions

Vladimir E. Tumanov, Elena S. Amosova, Andrei I. Prokhorov, N. Mastorakis, V. Mladenov, A. Bulucea
2016 MATEC Web of Conferences  
Fuzzy inference models used by the intelligent agents of the expert system are listed.  ...  This paper presents an approach to develop a production expert system integrated into the information portal using the fuzzy inference machine to predict reactivity of organic molecules in the radical  ...  However in water (acid environment) a strong dependence from pH is observed, which suggests using the TSK (Takagi, Sugeno, Kang) model with polynomial dependence.  ... 
doi:10.1051/matecconf/20167604007 fatcat:ys7bgvozfrgzdis5s4msisr5ne

DSL Composition for model-based test generation

Bruno Fontes Barroca, Levi Silva Lucio, Vasco Moreira Amaral, Luis Miguel Pedro, Didier Buchs
2009 Electronic Communications of the EASST  
Domain specific languages (DSL) which describe reactive systems generally have a need for systematic generation of tests for their models.  ...  We introduce a framework for composing DSLs for reactive systems, with a particular DSL for Model Based Testing called SATEL (Semi-Automatic Testing Language).  ...  This particular inference rule was produced by a transformation rule which does not depend on any kind of model instance of SATEL.  ... 
doi:10.14279/tuj.eceasst.21.301 dblp:journals/eceasst/BarrocaLBAP09 fatcat:6knzqlrraff4xfrfiihu7nbufa

Living it up with a live programming language

Sean McDirmid
2007 Proceedings of the 22nd annual ACM SIGPLAN conference on Object oriented programming systems and applications - OOPSLA '07  
SuperGlue is based on reactive values known as signals that are supported with declarative data-flow connections and dynamic inheritance.  ...  A live language is also based on declarative programming constructs such as rules or data-flow connections so that programmers can write less code.  ...  Live Programming Live programming in SuperGlue is enabled by its simple reactive data-flow model and a programming environment that takes advantage of this model.  ... 
doi:10.1145/1297027.1297073 dblp:conf/oopsla/McDirmid07 fatcat:h6bi6smcwvhwpesnkr7xmjmepy

Living it up with a live programming language

Sean McDirmid
2007 SIGPLAN notices  
SuperGlue is based on reactive values known as signals that are supported with declarative data-flow connections and dynamic inheritance.  ...  A live language is also based on declarative programming constructs such as rules or data-flow connections so that programmers can write less code.  ...  Live Programming Live programming in SuperGlue is enabled by its simple reactive data-flow model and a programming environment that takes advantage of this model.  ... 
doi:10.1145/1297105.1297073 fatcat:zijbucb3gbg4debgvxtsw7tima

Functional coupling networks inferred from prefrontal cortex activity show experience-related effective plasticity

Gaia Tavoni, Ulisse Ferrari, Francesco P. Battaglia, Simona Cocco, Rémi Monasson
2017 Network Neuroscience  
We infer functional network models reproducing the spiking activity of simultaneously recorded neurons in prefrontal cortex (PFC) of rats, during the performance of a cross-modal rule shift task (task  ...  Study of the reactivation dynamics of the potentiated groups suggests a possible connection with behavioral learning.  ...  Inference of Ising Model Parameters Inference procedure.  ... 
doi:10.1162/netn_a_00014 pmid:29855621 pmcid:PMC5874136 fatcat:yzudiuw7sfdx5oepfyeto563xu

Rule-Based Distributed and Agent Systems [chapter]

Costin Bǎdicǎ, Lars Braubach, Adrian Paschke
2011 Lecture Notes in Computer Science  
The paper contains an overview of the roles played by rules and rule-based systems in distributed and multi-agent systems.  ...  These roles include an overview of traditional and newly emerging application areas as well as internal agent architectures and frameworks implementing these architectures.  ...  In paper [27] the authors introduce a model for distributing rule-based inference systems called Web of Inference Systems (WoIS).  ... 
doi:10.1007/978-3-642-22546-8_3 fatcat:kflbpxqmxjannkl4ytcl6krpnq

Reactive types [chapter]

Jean-Pierre Talpin
1997 Lecture Notes in Computer Science  
Synchronous languages, such as Signal, are best suited for the design of dependable real-time systems.  ...  We de ne an inference system for determining reactive types in the Signal language and show how to reconstruct adequate compile-time information on reactive programs by means of such speci cations.  ...  y) j g g 0 j 9x:g graph The data-ow model of a program is represented by a graph composed of arrows x c ? ! y. An arrow x c ? ! y denotes a dependency from x to y at the clock c.  ... 
doi:10.1007/bfb0030628 fatcat:r4jmvij7m5bqpjwonnbvztzeem

Guiding Inference Through Relational Reinforcement Learning [chapter]

Nima Asgharbeygi, Negin Nejati, Pat Langley, Sachiyo Arai
2005 Lecture Notes in Computer Science  
Employing this inference mechanism in a reactive agent architecture lets the agent focus its reasoning on the most rewarding parts of its knowledge base and hence perform better under time and computational  ...  We present experiments that demonstrate the benefits of this approach to reasoning in reactive agents, then discuss related work and directions for future research.  ...  This model is then used to estimate the initial expected utility for new instances of the corresponding inference rule.  ... 
doi:10.1007/11536314_2 fatcat:2own76g47bc5lhjpmxtntpzkda

A Synchronous Semantics of Higher-Order Processes for Modeling Reconfigurable Reactive Systems [chapter]

Jean-Pierre Talpin, David Nowak
1998 Lecture Notes in Computer Science  
To maximize the support for the generic implementation and the dynamic reconfigurability of reactive systems, we introduce a semantics of higherorder processes in a seamless extension of the synchronous  ...  Synchronous languages are well suited for the design of dependable real-time systems: they enable a very high-level specification and an extremely modular implementation of complex systems by structurally  ...  and causality relations model data dependencies.  ... 
doi:10.1007/978-3-540-49382-2_8 fatcat:5bdyyrbehreoplmnkuzxnw34zu

DSTATCOM modelling for voltage stability with fuzzy logic PI current controller

Dawood Amoozegar
2016 International Journal of Electrical Power & Energy Systems  
In simulation study, the dynamic response of D-STATCOM is observed by changing the reference reactive current.  ...  In recent years, applications of inverter based power quality conditioners have been growing for reactive power compensation in distribution systems due to their faster response times as compared to the  ...  Rule base is essentially the control method of the system. It is usually obtained from expert knowledge or heuristic as a set of IF-THEN rules. The rules are based on the fuzzy inference.  ... 
doi:10.1016/j.ijepes.2015.09.017 fatcat:7mnp3e4xhjd4xlf2mi6aulbfbq

Power Flow Control of Power Systems Using UPFC Based on Adaptive Neuro Fuzzy

Agus Jamal, Ramadoni Syahputra
2014 IPTEK Journal of Proceedings Series  
The power flow controllers must be able to control the level of electrical voltage and active and reactive power flow without reducing the level of stability and security of the transmission system.  ...  These algorithms have difficulties to electric power transmission systems multimachine very dynamic, i.e. systems that are experiencing rapid changes in the electrical load from time to time.  ...  Fuzzy inference system (FIS) is only applied to only modeling systems whose rule structure is essentially predetermined by the user's interpretation of the characteristics of the variables in the model  ... 
doi:10.12962/j23546026.y2014i1.423 fatcat:yfb22h6h7vbyximfl2id5332km

Fuzzy Logic Based Reactivity Control in Nuclear Power Plants
english

Narrendar. R.C, Til ak
2014 International Journal of Innovative Research in Science Engineering and Technology  
The advent of rule-based expert systems and multivalued logic has paved way for the evolution of fuzzy control, it differs from traditional control theory -that needs mathematical modelling of the control  ...  In case of nuclear power plants control using conventional modelling is extremely tedious, wherein, it is the rule based structure combined with fuzzy set theory that makes the implication of possible  ...  Table 2 : 2 Fuzzified Inputs of the System Table 3 : 3 The Rule Base for Fuzzy Inference Engine  ... 
doi:10.15680/ijirset.2014.0311006 fatcat:iwjzqlfxxzcnll5fq35c4xmh6e

Shifting matrix management: a model for multi-agent cooperation

G. Li, A.A. Hopgood, M.J. Weller
2003 Engineering applications of artificial intelligence  
All three models have been implemented by means of an in-house blackboard system, Algorithmic and Rule-based Blackboard System (ARBS).  ...  Shifting matrix management (SMM) is a model of agent coordination inspired by Mintzberg's model of organizational structures.  ...  Acknowledgements Funding from the Open University Technology Faculty Research Board is gratefully acknowledged.  ... 
doi:10.1016/s0952-1976(03)00052-6 fatcat:idbjrjh7s5alblz5c3hdwuprfm
« Previous Showing results 1 — 15 out of 67,288 results