Allocating resources among autonomous artificial intelligence agents within a distributed computational network

A non-transitory, computer-readable storage medium comprising instructions thereon, wherein the instructions, when executed by at least one data processor of a system, cause the system to:

• access a task specification request that defines (a) a computational requirement set, (b) a performance metric set, and (c) an available resource set associated with one or more tasks configured to be executed by a federated network of multiple AI-based agents,
• wherein corresponding values of the performance metric set associated with historically executed tasks for each AI-based agent are accessible via a federated ledger associated with the federated network;
• evaluate, using an AI model set, the multiple AI-based agents by:
• generating a series of test datasets configured to test satisfaction of a particular AI-based agent with the computational requirement set, and
• validating one or more AI-based agents of the multiple AI-based agents by applying each test dataset to each AI-based agent of the multiple AI-based agents;
• construct, using the AI model set, a scoring matrix for each of the one or more AI-based agents by generating a series of scores using the corresponding values of the performance metric set for each of the one or more AI-based agents accessed via the federated ledger;
• select, using the AI model set, a selected AI-based agent set within the federated network of multiple AI-based agents by ranking the one or more AI-based agents using the constructed scoring matrix;
• distribute the available resource set among the selected AI-based agent set proportional to a corresponding series of scores of each selected AI-based agent;
• and
• cause execution of, using the selected AI-based agent set on the federated network, a sequence of computer-executable workflows configured to perform the one or more tasks in accordance with the computational requirement set.

A computer-implemented method for managing collaboration of artificial intelligence (AI)-based agents, the computer-implemented method comprising:

• obtaining a task specification request that defines (a) a computational requirement set, (b) a performance metric set, and (c) an available resource set associated with one or more tasks configured to be executed by multiple AI-based agents;
• validating one or more AI-based agents of the multiple AI-based agents by evaluating, using an AI model set, the multiple AI-based agents against a series of test datasets configured to test satisfaction of each AI-based agent with the computational requirement set;
• determining, using the AI model set, a series of scores for each of the one or more AI-based agents using corresponding values of the performance metric set associated with each of the one or more AI-based agents accessed;
• selecting, using the AI model set, a selected AI-based agent set of the multiple AI-based agents by comparing the one or more AI-based agents using the series of scores;
• allocating the available resource set among the selected AI-based agent set proportional to a corresponding series of scores of each selected AI-based agent;
• and
• causing execution of, using the selected AI-based agent set, a series of computer-executable workflows configured to perform the one or more tasks in accordance with the computational requirement set.