The Intellectual Journal of Intelligent and Autonomous Systems, ISSN XXXX-XXXX, publishes advanced theories and practices on machine intelligence and advanced autonomous technologies. Intelligent Autonomous Systems (IAS) combine machine intelligence and advanced technologies to create systems that can perceive, reason, learn, and control their environment. Designed to perform tasks autonomously, the systesm can operate without constant human supervision. IAS research explores the nature of intelligence in areas like perception, reasoning, learning, and control, aiming to develop and implement these theories in real-world applications. The main keys to intelligent autonomous systems are
- Intelligence: IAS leverage AI techniques like machine learning and pattern recognition to understand and react to their surroundings.
- Autonomy: can operate independently, making decisions and taking actions without continuous human input.
- Perception: use sensors and other means to gather information about their environment.
- Reasoning and Learning: can analyze data, learn from experience, and make decisions based on their understanding of the situation.
- Control: can execute actions to achieve their goals, such as controlling robots, vehicles, or other systems.