Which agent deals with the happy and unhappy state?

Correct option is A

Utility-based agents handle decisions by assigning utility values to different states, which represent the level of "happiness" or "unhappiness" associated with a state. They aim to maximize utility, ensuring the best possible outcome according to the agent's goals.
Information Booster
1. Utility-Based Agents:
· These agents evaluate different possible outcomes and assign a numerical utility value to each.
· They select actions that maximize overall utility, balancing trade-offs between competing goals.
· Examples include recommendation systems or AI decision-making in uncertain environments, such as autonomous vehicles.
2. Characteristics:
· Utility captures the degree of happiness or satisfaction in a state.
· This approach allows the agent to choose the best course of action when multiple outcomes are possible.
· They are often used in situations where outcomes need to be optimized or prioritized.
3. Comparison with Other Agents:
· Model-Based Agents: Focus on maintaining an internal model of the environment to decide actions but do not consider utility.
· Goal-Based Agents: Work towards achieving predefined goals but may fail to evaluate the quality of the achieved state.
· Learning Agents: Learn and improve based on past experiences but are not explicitly designed to deal with "happy" or "unhappy" states.
Additional Knowledge
· Utility-based agents are particularly useful in environments with uncertainty or multiple objectives.
· They are widely used in AI fields like game theory, economic modeling, and robotics.