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Decision Procedures
Published in Satya Prakash Yadav, Dharmendra Prasad Mahato, Nguyen Thi Dieu Linh, Distributed Artificial Intelligence, 2020
Distributed Artificial Intelligence (DAI) is a domain that deals with various classes of technologies and techniques which range from swarm intelligence to multi-agent technologies. It is the study of a group of intelligent systems which unite together to solve a problem. All subsystems are interrelated in some or the other way not completely independent. The main focus is to handle the development of distributed solutions for a target problem.
Distributed Probabilistic Fuzzy Rule Mining for Clinical Decision Making
Published in Fuzzy Information and Engineering, 2021
Samane Sharif, Mohammad-R. Akbarzadeh-T
Multi-agent systems are one of the most significant paradigms in distributed artificial intelligence. A multi-agent system consists of several autonomous agents that can cooperate and sometimes compete to achieve specific goals. This autonomy, reactivity, and social ability of agents can lead to efficient decision-making. In this section, a new multi-agent approach is proposed for extracting probabilistic fuzzy rules from distributed data, which can be widely used in classification and decision-making problems. As a case study, this paper employs the proposed method for designing a clinical decision support system. In this approach, each agent has access to a part of the whole data and extracts its local knowledge from this local data through a self-organized process. Here, data are randomly and evenly distributed among agents. The structure of the proposed system is shown in Figure 1. All agents have a similar internal structure. Each agent uses a simple learning procedure to partition the input space according to its local data. During the learning process, each agent creates a local rule base from its local data. The confidence level of an agent represents the correctness of its acquired knowledge.