Showing 5 open source projects for "artificial intelligence projects in java"

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  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    Build gen AI apps with an all-in-one modern database: MongoDB Atlas

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  • Lightspeed golf course management software Icon
    Lightspeed golf course management software

    Lightspeed Golf is all-in-one golf course management software to help courses simplify operations, drive revenue and deliver amazing golf experiences.

    From tee sheet management, point of sale and payment processing to marketing, automation, reporting and more—Lightspeed is built for the pro shop, restaurant, back office, beverage cart and beyond.
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  • 1
    CLIPS Rule Based Programming Language
    CLIPS is a forward-chaining rule-based programming language written in C that also provides procedural and object-oriented programming facilities.
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    Downloads: 861 This Week
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  • 2
    Jason is a fully-fledged interpreter for an extended version of AgentSpeak, a BDI agent-oriented logic programming language, and is implemented in Java. Using JADE a multi-agent system can be distributed over a network effortlessly. This project was moved to https://jason-lang.github.io
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    Downloads: 50 This Week
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  • 3
    The MCAPL Project provides a tool for prototyping BDI agent programming languages and model checking programs written in these languages via an interface to the JavaPathfinder model checker.
    Downloads: 0 This Week
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  • 4

    ASTRA Agent Programming Language

    ASTRA is an implementation of AgentSpeak(TR)

    ASTRA is an implementation of AgentSpeak(TR) that has built in support for the CArTaGo and EIS environment models. Support for conversation management is provided in the form of the ACRE conversation manager.
    Downloads: 0 This Week
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  • Turn more customers into advocates. Icon
    Turn more customers into advocates.

    Fight skyrocketing paid media costs by turning your customers into a primary vehicle for acquisition, awareness, and activation with Extole.

    The platform's advanced capabilities ensure companies get the most out of their referral programs. Leverage custom events, profiles, and attributes to enable dynamic, audience-specific referral experiences. Use first-party data to tailor customer segment messaging, rewards, and engagement strategies. Use our flexible APIs to build management capabilities and consumer experiences–headlessly or hybrid. We have all the tools you need to build scalable, secure, and high-performing referral programs.
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  • 5
    A Practical Agent Programming Language
    Downloads: 0 This Week
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