Intelligent Agents: Practical Problem Analysis and Evaluation
Budget: €30 – €250 EUR
Report: Investigation of Intelligent Agent Types and Evaluation of how they can be Used in a Practical Problem, Application or Scenario
The aim of this assessment is to learn about and demonstrate evidence of learning about intelligent agent types, architectures, or algorithms. You are required to research a practical problem, application, or scenario that requires intelligent agents (e.g., autonomous drones or delivery robots) and evaluate how two agent types, architectures, or algorithms could be used to solve the practical problem, application, or scenario. One of the agent types, architectures, or algorithms must be a reinforcement learning algorithm / technique. The other agent type, architecture, or algorithm is up to you. For example, it could be reflex agents, model agents, goal agents, utility agents or learning agents. You can discuss the agent types as a whole or focus on a specific algorithm.
Please note you must submit both this report and the coursework (which includes a short report). A non-submission of either component will result in an automatic module fail.
The aim of this assessment is to learn about and demonstrate evidence of learning about intelligent agent types, architectures, or algorithms. You are required to research a practical problem, application, or scenario that requires intelligent agents (e.g., autonomous drones or delivery robots) and evaluate how two agent types, architectures, or algorithms could be used to solve the practical problem, application, or scenario. One of the agent types, architectures, or algorithms must be a reinforcement learning algorithm / technique. The other agent type, architecture, or algorithm is up to you. For example, it could be reflex agents, model agents, goal agents, utility agents or learning agents. You can discuss the agent types as a whole or focus on a specific algorithm.
Please note you must submit both this report and the coursework (which includes a short report). A non-submission of either component will result in an automatic module fail.