The best applications and final projects will demonstrate a clear understanding and implementation of an AI agent as defined, capable of operating autonomously, adapting to its environment, and making decisions toward achieving predefined goals.
● Autonomy: The AI agent operates without continuous direct human oversight after initial configuration. It should be capable of self-management to a considerable extent.
● Adaptability: The agent adapts to changes in its environment. This could be demonstrated through learning mechanisms (like machine learning models) that adjust behavior based on new data.
● Technical Implementation: The solution employs appropriate algorithms, data structures, and possibly machine learning models.
● Decision Making: The agent makes decisions based on its programming and the data it processes. This requires a well-implemented algorithm that allows the agent to evaluate options and choose actions that align with its objectives.
● Goal-Oriented: The agent's actions are directed towards achieving specific objectives. This should be evident in the agent's design and operation.
● Documentation and Explanation: A well-prepared presentation and demo video that succinctly explain the project's value, operation, and technical merits.
