The same mobile robot architecture with proper sensors can be implemented to behave as any IA class. The way you can determine the class of an intelligent agent is from the way it processes the percept. Based on chapter 2 of Artificial Intelligent: A Modern Approach I will try to give a concise explanation for each class:

2021年2月9日 · Agent. The other answer defines an agent as a policy (as it's defined in reinforcement learning). However, although this definition is fine for most current purposes, given that currently agents are mainly used to solve video games, in the real world, an intelligent agent will also need to have a body, which Russell and Norvig call an architecture (section 2.4 of the …

An agent is rational if it maximizes its performance measure given its current knowledge. I've read that a simple reflex agent will not act rationally in a lot of environments. For example, a simple reflex agent can't act rationally when driving a car, as it needs previous perceptions to make correct decisions.

These measures are optimised throughout a humans life time. A 30 year old agent is better at survival than a 10 year old agent. A 30 year old agent makes fewer mistakes. We remember our mistakes. Mistakes are burned into our memory by high levels of neurotransmitters (and reinforcing of synapses) so we don't make them again.

2019年6月22日 · The agent function highly determines the intelligent or intellectual capabilities of the agent and differentiates it from other agents. Therefore, there are different agents depending on the sensors and actuators they possess, but, more importantly, depending on their policy, which highly affects their intellectual characteristics.

2020年8月18日 · c) A credit card fraud detection agent that monitors an individual’s transactions and reports suspicious activity. d) A voice activated mobile-phone assistant For each of the agents described above, categorize it with respect to the six dimensions of task environments as described on pages 41-45 (Section 2.3.2 of AIMA).

While studying artificial intelligence, I have often encountered the term "agent" (often autonomous, intelligent). For instance, in fields such as Reinforcement Learning, Multi-Agent Systems, Game ...

2016年9月8日 · $\begingroup$ Thank you, well, first, it's just an start for me, I have experience in web based programing and scripting using .net and php, now I like to step up and try something new :) To answer ur question, it shouldn't be a gaming AI and not a Robot (Maybe in future), I would like to create a self teaching program which can learn with it's daily jobs and mistakes.

2021年12月12日 · This answer provides more definitions of the machine learning field and an ML algorithm, which is not exactly the same thing as a learning agent, given that the concept of an agent also implies or emphasizes the usage of a body with sensors, actuators, and an agent program (which converts the observations into actions), but the definitions ...

2021年10月19日 · The Right and Left actions move the agent one square except when this would take the agent outside the environment, in which case the agent remains where it is. The only available actions are Right, Left, and Suck. The agent correctly perceives its location and whether that location contains dirt.