Rule-based modeling is a modeling approach that uses a set of rules that indirectly specifies a mathematical model. The rule-set can either be translated...

Expert systems Rewriting RuleML List of rule-based languages Learning classifier system Rule-based machine learning Rule-based modeling Crina Grosan; Ajith...

millions of agents at tens of frames per second. Since Agent-Based Modeling is more of a modeling framework than a particular piece of software or platform...

specification problem, modelers have in recent years moved away from explicit specification of all possible states, and towards rule-based modeling that allow for...

Military simulation Modeling and Simulation Coordination Office Operations research Orbit modeling Power system simulation Rule-based modeling Simulation Interoperability...

strictly based on the past literature and when they are based on a few rules can be easy to interpret. However, the influence of each rule can be hard...

Rule-based machine learning (RBML) is a term in computer science intended to encompass any machine learning method that identifies, learns, or evolves...

example, rules, events, etc. are not supported. The following table lists specialist tools that cannot be grouped with the modeling tools. Particle based simulators...

commonly identify a singular model that can be universally applied to any instance in order to make a prediction. Rule-based machine learning approaches...

Agent-based models have many applications in biology, primarily due to the characteristics of the modeling method. Agent-based modeling is a rule-based, computational...

Olivé; Sudha Ram, eds. (2006). Conceptual Modeling: ER 2006: 25th International Conference on Conceptual Modeling, Tucson, AZ, USA, November 6-9, 2006: proceedings...

precursor to model based systems. The main reason why model-based reasoning is researched since the 1990s is to create different layers for modeling and control...

relatively complicated algorithmic approach, (2) LCS, rule-based modeling is a different paradigm of modeling than almost all other machine learning approaches...

running computer-based simulation modeling (e.g. Monte Carlo simulation, stochastic modeling, multimethod modeling) that makes all the modeling almost effortless...

The American Bar Association's Model Rules of Professional Conduct (MRPC) are a set of rules and commentaries on the ethical and professional responsibilities...

with substantially less than 1% error. Rule-based modeling: Smoldyn supports two types of rule-based modeling. It reads the BNGL language, which it parses...

order (LIO), also known as rules-based order (RBO), describes a set of global, rule-based, structured relationships based on political liberalism, economic...

solid modeling technology continued to rely upon 2D drawings (often CAD generated) as the authority (or master) product representation. 3D models, even...

Business process modeling (BPM) is the action of capturing and representing processes of an enterprise (i.e. modeling them), so that the current business...

Meta-process modeling is a type of metamodeling used in software engineering and systems engineering for the analysis and construction of models applicable...

The rule indicates that the presence of an asymmetric center in a molecule induces the formation of an asymmetric center adjacent to it based on steric...

incorporate some form of threat modeling in their daily life and don't even realize it.[citation needed] Commuters use threat modeling to consider what might go...

expressions. An example of a graphical modeling language and a corresponding textual modeling language is EXPRESS. Not all modeling languages are executable, and...

Computational linguistics is concerned with the statistical or rule-based modeling of natural language from a computational perspective. Specific knowledge...

Decision Model and Notation (DMN) is a standard published by the Object Management Group. It is a standard approach for describing and modeling repeatable...

An energy-based model (EBM) (also called Canonical Ensemble Learning or Learning via Canonical Ensemble – CEL and LCE, respectively) is an application...

(originally TK!Solver) is a mathematical modeling and problem solving software system based on a declarative, rule-based language, commercialized by Universal...

classification data and a rule-based theory as input which are the result of a rule-based learner with the hopes of producing a more accurate model of the data. The...

the rule constitutes the basis of Watson–Crick base pairs in the DNA double helix model. The second rule holds that both Α% ≈ Τ% and G% ≈ C% are valid...

scientist known for contributions in the areas of unification theory, rule-based modelling, logic programming, concurrent constraint logic programming, computational...