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low-code control for the IoT
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draggett authored Sep 14, 2024
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"Dave Raggett"
]
},
"CHUNKS-LOWCODE": {
title: "Chunks and Rules for Cognitive Control",
href: "https://w3c.github.io/cogai/agents/low-code-with-chunks-and-rules.pdf",
authors: [
"Dave Raggett"
]
},
"IEEE-754-2019": {
title: "IEEE 754-2019: IEEE Standard for Floating-Point Arithmetic. Institute of Electrical and Electronic Engineers, New York (2019)"
},
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</head>
<body>
<section id="abstract">
<p>This specification defines a cognitive graph database model featuring chunks as collections of properties, and rules that operate on them in conjunction with highly scalable graph algorithms, together with a simple notation for serializing graphs as a convenient abstraction above RDF. The model reflects functional characteristics of human memory and cognition, including stochastic recall and the forgetting curve. Chunks & Rules provide an attractive framework for low-code real-time control of digital twins for the Internet of Things, decoupled from the details of communication technologies and standards, using asynchronous messaging that enables distributed implementations and integration with robot systems based upon ROS (the robot operating system).</p>
<p>This specification defines a cognitive graph database model featuring chunks as collections of properties, and rules that operate on them in conjunction with highly scalable graph algorithms, together with a simple notation for serializing graphs as a convenient abstraction above RDF. The model reflects functional characteristics of human memory and cognition, including stochastic recall and the forgetting curve. Chunks & Rules provide an attractive framework for low-code real-time control of digital twins for the Internet of Things, decoupled from the details of communication technologies and standards, using asynchronous messaging that enables distributed implementations and integration with robot systems based upon ROS (the robot operating system), see [[CHUNKS-LOWCODE]]</p>
</section>

<section id="sotd">
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