Search Results for "context"

Statistics101 is an Integrated Development Environment (IDE) that uses a simple, powerful language called “Resampling Stats” to develop Monte Carlo programs to analyze and solve statistical problems. The original Resampling Stats language and computer program were developed by Dr. Julian Simon (https://www.juliansimon.com/) and Peter Bruce (https://www.scientificamerican.com/author/peter-bruce/) as a new way to teach Statistics to social science students. Of course, social science students...

The BioEnergy Allocation and Simulation Tool (BEAST) is a tool dedicated to assess political goals of woody bioenergy production in the context of available biomass potentials and corresponding economic and ecological criteria on a regional level. It is a useful tool in participative decision making processes by iterative simulation and visualization of complex issues. BEAST is a data- and model-driven Decision Support System (DSS) evaluating woody biomass potentials from forests, hedges and trees outside forests as well as short rotation coppice (SRC). ...

Code updated. There were a few errors in the physical model of the concentration field of secreted chemokine surrounding each cell, together with a few coding errors. All have been corrected, the model refitted, and all simulations presented in the paper repeated. Results from this corrected model are on par with the published results. See pdf file for details.

...Famos implements event-driven time advance and focusses on supporting an explicit model of space for the environment, including the movement of agents. Famos was developed in the context of a PhD project. Many aspects of its implementation are therefore still in the prototype stage. It does come with two example models (a re-implementation of Schelling's segregation model and of Epstein and Axtell's Sugarscape model). Famos

...LARA (Lightweight Architecture for boundedly Rational Agents) meets these requirements and fills the gap between frameworks without built-in psychological foundations and full-fledged cognitive architectures which are both not viable options in this context. LARA provides prefabricated components of an agent’s decision process like perception, memory, and different modes of decision making. These components are psychologically plausible, i.e. based on appropriate psychological results and theories. Moreover, interfaces for basic learning and social influence are available.

The Systems Biology Ontology project (SBO) goal is to develop controlled vocabularies and ontologies tailored specifically for the kinds of problems being faced in Systems Biology, especially in the context of computational modeling. !!!! Important Announcement !!!! We have moved the curation and development of Systems Biology Ontology (SBO) to a git-hub repository https://github.com/EBI-BioModels/SBO. Hence, this SourceForge SBO project has also been retired. Please use the Git-Hub issue tracker https://github.com/EBI-BioModels/SBO/issues to request the addition of new terms.

Siafu simulates individual agents and their context, from home to city-wide scenarios. As a developer, you use the API to write your simulation for the purposes of data-set generation, test or visualization, optionally hooking it to your own application.

A graphical MatLab framework for estimating the parameters of, modeling and simulating static and dynamic linear and polynomial systems in the errors-in-variables context with the intent of comparing various estimation strategies.

LEET (Large Experiment and Evaluation Tool) is a front-end software utility for WEKA that simplifies large-scale experiment and evaluation of algorithms and datasets in the classification context.

A platform for setting up autonomic services in a distributed environment. Provides service discovery, service provisioning / usage, autonomic adaptation to the context, mobility, support for supervision and service aggregation, and more.

bwfirt (Benchmark Without Fast Interactive Ray Tracing) is a framework for benchmarking ray tracing kernels in the context of a realistic light simulation application.

We extend a model of exploration and exploitation to consider the context of hierarchical organizations of varying size and depth, in either the absence or presence of a knowledge management (KM) system.

Tools for finite automata simulation, minimization and grammar utilities (left recursion removal, context free grammar simplification and transformation to Chomsky Normal Form).

This is a framework to develop Contexts and Agents and a Container to run them. The Container lets each Agent interact with the Context and other Agents. The agents are deployed in jar files and each one runs in an exclusive sandbox.