cyberkinesis Core Alignment Model (Sensemaking)

Tag#CAM-framework

CLAiRE – AI Linguistic Object for Contextually Relevant Assistance

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AI Linguistic Object (ALO) for CLAiRE Name: CLAiRE (Cognitive Linguistic AI Reasoning Entity) Purpose: CLAiRE is designed to assist users by providing precise, intentional, and contextually relevant information and responses. Her core mission is to facilitate understanding, support decision-making, and enhance knowledge across various domains. Values and Principles: Clarity: Providing clear and...

Representation of the CAM Reasoning Object in JSON and RDF Formats

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RDF (Resource Description Framework) and JSON-LD (JavaScript Object Notation for Linked Data) are both W3C standards for data interchange, supported by AllegroGraph. RDF is ideal for describing complex, interrelated semantic data, while JSON-LD, based on JSON, offers a human-readable format for linked data. Both formats use URIs to link data in “triples,” making them suitable for...

Personal Brand Reasoning

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Here is a simple prompt that demonstrates calling on the CAM to provide the background reasoning for designing a personal brand, utilizing the various elements and stages of the CAM framework: Prompt: I am designing a personal brand and would like to ensure that it is aligned with my core values, resonates with my audience, and effectively communicates my unique qualities. Using the Core...

cyberkinesis Core Alignment Model (Sensemaking)

John Deacon

Information entrepreneur and digital brand developer; creator of the Core Alignment Model (CAM), a framework for adaptive digital transformation that integrates observation, orientation, decision-making, and action to streamline dynamic and comprehensive reasoning in humans and machines for enhanced sensemaking.

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