Algorithms are a set of guidelines to be followed to accomplish a task or solve a problem. The word apparently has roots in French by way of its Latin roots and Arabic. From Oxford Languages: The Arabic source, al-Ḵwārizmī ‘the man of Ḵwārizm’ (now Khiva), was a name given to the 9th-century mathematician Abū Ja‘far Muhammad ibn Mūsa, author of widely translated works on algebra and arithmetic.
Agentic algorithms are algorithms assigned to an agent. An agentic algorithm might also be called a job. At NTARI we use voluntary human-based computation to solve problems or instantiate social or economic cycles. Here's an example of an agentic algorithm for an NTARI Back End channel.
Data: Input from stakeholders and supporters
Algorithm: Daily and monthly reports, board has NTARI Backend app downloaded and notifications on. Quarterly meeting broadcast in channel. Annual meeting broadcast in channel
Objective: Improve stakeholder and supporter engagement opportunities with NTARI's Board of Directors, provide community-based counseling for NTARI's Board of Directors
Governance: Currently governance is managed by a moderator (Update to LBTAS planned)
Agentic algorithms aren't something we should trust AI with lightly. The competence of these systems, while clearly showing semblance of intelligence, is like a child. We thus encourage Back End users NOT to rely too heavily on their AI cohort. The same way we shouldn't trust a three year old human (even if they can read) with designing a state bureaucracy, we shouldn't expect AI to solve the problems of our generation. Instead we should rely on the combinations of networks of natural intelligence and AI tools.
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