Context-aware task allocation and reputation management for artificial intelligence agents

A task management device, comprising:

• a processor;
• and
• a memory communicatively coupled to the processor, wherein the memory comprises a task optimization logic that is configured to:
• receive a task comprising a plurality of subtasks;
• determine one or more contextual features associated with the task;
• obtain a set of task execution proposals from a subset of Artificial Intelligence (AI) agents, among a plurality of AI agents, that align with the determined one or more contextual features;
• evaluate the obtained set of task execution proposals against a plurality of evaluation parameters;
• select a corresponding AI agent, from the subset of AI agents, for each subtask of the plurality of subtasks based on the evaluation of the set of task execution proposals;
• and
• assign each subtask of the plurality of subtasks to the selected corresponding AI agent.

A method, comprising:

• receiving a task;
• determining one or more contextual features associated with the task;
• obtaining a set of task execution proposals from a subset of Artificial Intelligence (AI) agents, among a plurality of AI agents, that align with the determined one or more contextual features;
• evaluating the obtained set of task execution proposals against one or more evaluation parameters;
• selecting at least one AI agent from the subset of AI agents based on the evaluation of the set of task execution proposals;
• and
• assigning one of the received task or a subtask associated with the received task to the selected at least one AI agent.