The core characteristics of an intelligent agent include autonomy, reactivity, proactiveness, and social ability.
Autonomy: An intelligent agent operates without direct human intervention, making decisions and taking actions based on its own reasoning and available information. For example, a self-driving car navigates roads, avoids obstacles, and adjusts its route independently.
Reactivity: The agent perceives its environment (through sensors or data inputs) and responds in real-time to changes. For instance, a smart thermostat detects temperature fluctuations and adjusts heating or cooling accordingly.
Proactiveness: Beyond reacting to stimuli, the agent can exhibit goal-directed behavior by taking initiative to achieve objectives. For example, a recommendation system proactively suggests products based on user preferences and past behavior.
Social Ability: The agent can interact with other agents (human or artificial) to exchange information or collaborate. For example, chatbots in customer service communicate with users to resolve queries.
In cloud computing, these characteristics are often implemented using AI-driven services. For instance, Tencent Cloud’s AI agents can be deployed to automate tasks, analyze data, and interact with users, leveraging autonomy and proactiveness for scalable solutions. Additionally, Tencent Cloud’s IoT platforms enable reactive agents in smart devices, while serverless computing supports autonomous execution of agent logic.