Wafer Fabrication by Zhang Jie;

Author:Zhang, Jie; [Неизв.]
Language: eng
Format: epub
Publisher: De Gruyter
Published: 2018-09-06T20:00:00+00:00

5.3.1.2 Agent-Based Distributed Algorithm

Since the 1990s, with the development of computer networks and computer communications technology, agent technology has not only become a hotspot for distributed artificial intelligence research, but also become a hot field of information technology. It is noted that research achievements in various fields of artificial intelligence should be integrated into an agent of intelligent behavior. The nature of artificial intelligence is social intelligence. “Collaboration,” “competition” and “negotiation” are the main manifestations of human intelligent behavior. The prerequisite for the application of the agent is to achieve its intelligent behavior by building an agent, guiding its interaction with the surrounding environments and communicating with other agents, which play an important role in forming new computing and problem-solving norms and establishing an agent technology-based distributed collaborative model with certain autonomy.

In terms of the theoretical basis, the structure of an agent can be classified into three major classes: (1) Thinking agent (cognitive or deliberative agent): In this type, the information processing unit consists of a variety of behavioral knowledge, domain knowledge and decision rules. The information processing unit is able to implement complex logical reasoning in order to make decisions. (2) Reactive agent: In this type, the information processing unit does not include any domain knowledge and behavior knowledge of the environment. Complex reasoning mechanisms are not adopted by the information processing unit, and decision-making is performed by using the predefined rules inside the information processing unit. (3) Hybrid agent: It is a new structure that is formed by the combination of the above two structures.

The “perception-action” mappings are preset in the internal part of a reactive agent; when certain conditions are met by the environmental information, an agent directly calls the preset perception-action mappings to generate its corresponding action output. The basic structure of a reactive agent is shown in Figure 5.6. In the figure, information perception and actions are combined by the perception-action relationship base, which interacts with the environment through sensors and actuators.

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