Execution Module
Function: The Execution Module translates the selected action into the real world.
Components:
- Actuators: Mechanisms that physically carry out actions, such as motors or servos in robots.
- Command Interface: Software or hardware interfaces that execute commands, such as API calls or system functions.
Role: This module implements the decisions made by the Action Selection Module, interacting with the environment to achieve the agent’s goals.
Reactive Agent in AI with Example
Agents are essential in the field of artificial intelligence (AI) because they solve complicated issues, automate processes, and mimic human behavior. A fundamental concept in this discipline is the idea of an agent. An agent is a software entity capable of sensing its environment, deciding what actions to take, and executing those decisions.
In this article, we will provide an extensive overview of reactive agents—quick-thinking and responding members of the AI community. We will explore their design and uses, discussing the fundamental terms, the elements that make up reactive agents, and how they perceive the world, make decisions, and carry out tasks. To ensure this tutorial is professional yet approachable for newcomers, we will also cover the benefits and drawbacks of reactive agents.
Table of Content
- Overview of Reactive Agents
- Architecture Components of Reactive Agents
- Perception Module
- Action Selection Module
- Execution Module
- Reactive Agent for Autonomous Obstacle Avoidance
- Implementation of Reactive Agent for Autonomous Obstacle Avoidance
- Applications of Reactive Agents
- Advantages of Reactive Agents
- Limitations of Reactive Agents
- Conclusion