Showing 6 open source projects for "artificial intelligence java source code"

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  • 1
    Jazzer

    Jazzer

    Coverage-guided, in-process fuzzing for the JVM

    Jazzer is a coverage-guided, in-process fuzzer for the JVM platform developed by Code Intelligence. It is based on libFuzzer and brings many of its instrumentation-powered mutation features to the JVM.
    Downloads: 4 This Week
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  • 2

    TDD MAS Toolkit

    A set of powerful tools to perform TDD on MAS based on JADE

    The TDD MAS Toolkit provides a set of tools to perform Test Driven Development of MAS based on Jade. The toolkit allows developers to set up simulation based and test case scenario based testing, providing powerful insights of the MAS under construction and assuring that the interation protocols and agent interaction in general are been enacted as expected.
    Downloads: 0 This Week
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  • 3
    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.
    Downloads: 0 This Week
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  • 4
    The aim of the project is to provide a testing tool that would reduce the cost associated with the regression testing process. The tool provides test case subset selection so that the user need not run the redundant test cases.
    Downloads: 0 This Week
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  • The AI workplace management platform Icon
    The AI workplace management platform

    Plan smart spaces, connect teams, manage assets, and get insights with the leading AI-powered operating system for the built world.

    By combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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  • 5
    D-Cog (Declarative-Cognition) is a Java based framework for training software components (reusable, object-oriented, interface-driven components). Instead of programmed, software components are trained by example to get the expected results.
    Downloads: 0 This Week
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  • 6
    3A-TRE

    3A-TRE

    3A-TRE evaluates traditionally logical expressions under 3 assumptions

    3A-TRE evaluates traditionally logical expressions under the three assumptions. The open world assumption (OWA) states that the truth value of a statement that is not included in or inferred from the knowledge explicitly recorded in the system shall be considered unknown. The closed world assumption (CWA) is the assumption that any statement that is not known to be true is false. We distinguish yet another case in software testing. Frequently, there are test stubs which simulate the...
    Downloads: 0 This Week
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