What is the intelligent agent in AI, and where are they used?

O agente inteligente da chamada "inteligência" artificial é ó homem, é o cientista que programa as máquinas. IA, um assunto da moda, quer colocar o homem como um "deus" que poderia dar inteligência a alguém ou a uma máquina (ver aulas do geofísico/astrofísico Sérgio Sacani, não youtube).

E a moda do falso poder da IA vai mais além, baseado na mistificação do cinema: um dia a própria máquina, passando-se por "deus", poderia dar a si mesma a inteligência, uma alma, um espírito, autonomia, pensamentos próprios. O homem não é Deus, não pode dar inteligência, alma, espírito, autonomia ou livre arbitragem a outro homem (muito menos a uma máquina), isto seria poder de criar vida consciente, poder de ressurreição. Quem estuda e pensa assim sobre a IA , imagina que quer ser “deus” um dia (chama-se megalomania).

Safiul Haque Chowdhury

In artificial intelligence (AI), an intelligent agent is a system or entity that perceives its environment, makes decisions, and takes actions to achieve specific goals. Intelligent agents are designed to operate autonomously, responding to changes in their environment and adapting their behavior to achieve optimal outcomes. The concept of intelligent agents is foundational to AI and is used in various applications. Here are key components and examples:

Components of an Intelligent Agent:

Perception:Agents have sensors or mechanisms to perceive and gather information about their environment. This can include collecting data from sensors, cameras, microphones, or other input devices.

Reasoning:Intelligent agents use reasoning mechanisms to process and interpret the information received from their environment. They often employ decision-making algorithms and logic to determine the best course of action.

Actuation:The agent interacts with its environment through actuators or effectors. These are mechanisms that allow the agent to perform actions based on its decisions. Examples include motors, actuators, or communication interfaces.

Learning:Many intelligent agents are equipped with learning mechanisms, enabling them to improve their performance over time. Learning can involve adapting to new data, adjusting decision-making processes, or refining strategies.

Types of Intelligent Agents:

Simple Reflex Agents:React to the current state of the environment without considering past actions or future consequences. Actions are determined by predefined rules or conditions.

Model-Based Reflex Agents:Maintain an internal model of the environment, enabling them to consider past states and make decisions based on a more comprehensive understanding.

Goal-Based Agents:Work towards achieving specific goals or objectives. They evaluate different actions in terms of their contribution to goal achievement.

Utility-Based Agents:Consider both goals and the desirability of outcomes. Actions are evaluated based on a utility function, which reflects the agent's preferences.

Learning Agents:Adapt their behavior based on experience and feedback. Learning agents can adjust their strategies over time to improve performance.

Applications of Intelligent Agents:

Autonomous Vehicles:Intelligent agents are used in autonomous vehicles for perception (sensors), decision-making (route planning), and actuation (control systems).

Chatbots and Virtual Assistants:Chatbots and virtual assistants use natural language processing and decision-making algorithms to understand user queries and provide relevant responses.

Recommendation Systems:Intelligent agents power recommendation systems in e-commerce, streaming services, and social media by analyzing user behavior to suggest personalized content.

Industrial Automation:Agents are employed in manufacturing and industrial settings for tasks such as process control, quality monitoring, and predictive maintenance.

Game Playing Agents:Game-playing agents use AI techniques to play board games, video games, and other strategic games, adapting their strategies based on the game state.

Healthcare Diagnosis and Monitoring:Intelligent agents are utilized in healthcare for diagnosing medical conditions, monitoring patient data, and recommending treatment plans.

Smart Home Systems:Agents in smart home systems use sensors and actuators to monitor and control devices, adapting to user preferences and environmental conditions.

Financial Trading:In financial markets, intelligent agents analyze market data, predict trends, and execute trades based on predefined strategies.

Intelligent agents are pervasive in AI applications, and their versatility allows them to be deployed in a wide range of domains where autonomous decision-making and adaptation to changing conditions are essential.

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