Analog Insydes is a Mathematica toolbox for symbolic analysis of analog electronic circuits. This project provides a set of free add-ons to Analog Insydes, including a Java front-end and a native netlister for Cadence's Analog Design Environment (ADE).
An efficient Java-based Multi-agent Platform implementing the micro-agent concept µ² offering network support and multiple agent implementation languages. Detailed instructions and documentation can be found under http://www.micro-agents.net.
This project has been moved to Github.
This is a parser in Java for Lisp S-expressions. An S-expression or sexp (for symbolic expression) is a convention for representing data using parentheses.
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
FrAid(FRactal AID) is an interface to Java, allowing it to proc. math. data(functions/equations). A compl. standalone system utilizing the FrAid prog. lang. is available(no need to be Java programmer to use it!). Use instead of Matlab. High res. graphics
Kandid generates images using genetic algorithms. In a simulated evolution surprising images can be found calculated with Lisp expressions, Textures, Iterated Function Systems, Linear Cellular Automata, Voroni diagrams, Lindenmayer Systems and POVray
Computational modelling is a interdisciplinary field spanning many techniques and programming languages. AgenTools is a project dedicated to establishing increased modularity in scientific computing packages and a portal linking to other existing project
kin is a set of libraries and tools supporting meta-programming for engineering and technical computing applications. This JVM version of kin has been superseded by the stand-alone version being developed at http://purl.org/net/kin.
ScenConnect shows scenarios as networks of situation and event tag sets, for fast comparisons. It links scenarios to tags, scores, and other metadata, creating situationals suitable for search, mining, machine learning, and planning.