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Rationality is concerned with the predicted behaviours and outcomes based on the agent's perceptions. An important aspect of rationality is taking activities with the goal of collecting valuable knowledge.
Jun 17, 2024 · A rational agent in AI is an agent that performs actions to achieve the best possible outcome based on its perceptions and knowledge. It operates under the premise of rationality, where it consistently makes decisions that maximize its expected utility or performance measure.
For an AI agent, the rational action is most important because in AI reinforcement learning algorithm, for each best possible action, agent gets the positive reward and for each wrong action, an agent gets a negative reward. Note: Rational agents in AI are very similar to intelligent agents.
Nov 7, 2023 · Rational Agent in AI, gives AI and ML its intelligence. It's a theoretical entity that considers realistic models of peoples' behavior, with preferences for advantageous outcomes. Read more!
May 1, 2024 · Rational Agents and Rationality in Decision-Making. Intelligent agents are characterized by their rationality in decision-making, which aims to attain optimal outcomes or, in uncertain scenarios, the best-expected outcome.
Feb 14, 2024 · The concept of rationality is central to the field of artificial intelligence. Whether we are seeking to simulate human reasoning, or the goal is to achieve bounded optimality, we generally aim to make artificial agents as rational as possible.
P1: Perfect rationality, or the capacity to generate maximally successful behaviour given the available information. P2: Calculative rationality, or the in-principle capacity to compute the perfectly rational decision given the initially available information.
Nov 28, 2023 · The concept of rationality is central to the field of artificial intelligence. Whether we are seeking to simulate human reasoning, or the goal is to achieve bounded optimality, we generally seek to make artificial agents as rational as possible.
Jun 8, 2016 · Rationality. Intelligence. Bounded rationality. Metareasoning. 1 Artificial Intelligence. AI is a field whose ultimate goal has often been somewhat ill-defined and subject to dispute.
Jul 17, 2015 · The broad acceptance of guiding action with expected utility, the complexity of formulating and solving decision problems, and the rise of approximate methods for multiple aspects of decision-making under uncertainty has motivated artificial intelligence (AI) researchers to take a fresh look at probability through the lens of computation.
