2024年5月21日 · A learning agent, in artificial intelligence, refers to a software entity or system designed to autonomously interact with its environment, acquire knowledge from these interactions, and adapt its behaviour to improve performance over time. Unlike traditional AI systems, Learning agents can dynamically change their decision-making processes ...

... this paper we propose a learning agent architecture for centralized learning, which allows to use several learning modules in an agent. The architecture is presented in Fig. 1. An...

2018年7月11日 · In this post, we will discuss about the different kinds of agent programs and how to convert them into learning agents that can improvise their agent function and generate better actions....

2024年5月14日 · An intelligent agent system's basic components and interactions are outlined in an AI agent architecture, which functions as a conceptual design. It offers a methodical framework for creating, putting into practice, and comprehending agents that may independently interact with their surroundings to accomplish predetermined goals.

In this study, an agent-based architecture with learning possibilities is proposed to solve this problem. Two learning strategies are considered: supervised and reinforcement learning.

This paper surveys and classifies Expert System methodologies using four categories: Intelligent agents, modeling, Ontology and System architecture with their applications for different...

several agents are involved in a learning activity that results in a performance change who is responsible for the change? which of the internal components of an agent involved in learning is responsible for a performance change? what action carried out by which agent contributed to what extent to the performance change?

2022年10月20日 · We will cover the agent-environment interface, the rational, learning agent architectures and a practical example of a robotic agent. An agent is a computer system that is situated in some environment, and that is capable of autonomous action in this environment in order to meet its design objectives.

2023年11月17日 · AI agent architecture defines how different components of the agent interact to enable intelligent behavior. Now, let’s break down the four key components of the agent architecture mentioned: The profiling module’s primary role is determining the agent’s function or role within its context. The memory enables it to recall past behaviors.

In this paper, an architecture for an intentional learning agent is pre-sented. The architecture is an extension of the BDI architecture in which the learning process is explicitly described as plans. Learning plans are meta-level plans which allow the agent to introspectively monitor its mental states and update other plans at run time.