Many say that the next boom after LLM is the agent system. Agent systems are collections of software and hardware that operate autonomously and seek to achieve goals within their environment. They make decisions and automate specific tasks and processes without human intervention.

Agent Systems include 1. Reactive Agents, 2. Deliberative Agents (Reasoning Agents), 3. Hybrid Agents, 4. Multi-Agent Systems (MAS), and 5. Intelligent Agents, There are several types of agents, including 6. Autonomic Agents, but 4. and 5. are currently the mainstream of development.

Multi-Agent Systems is a system where multiple agents cooperate to perform tasks are considered important in fields such as transportation, logistics, autonomous vehicles, and smart grid management. These systems offer a distributed approach to efficiently solving complex problems.

Intelligent agents are agents that utilize artificial intelligence (AI) and Machine learning (ML) to autonomously learn and adapt to their environment, and they are gaining attention. They are used in a wide range of applications, including customer service, personalized recommendation systems, and smart home devices.

Elemental technologies for agent systems include 1. Artificial intelligence (AI) and Machine learning, 2. Sensor Technology and Data Collection, 3. Communication Technology, 4. Flexible and Scalable Software Architecture, 5. Ontologies and Knowledge Representation, 6. Autonomy and Decision-Making Algorithms, etc.

Particularly noteworthy technologies are 1. Machine Learning and Deep Learning, 2. Internet of Things (IoT), Cloud Computing and Edge Computing.

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