The field of medical care is characterized by complexity, dynamism, and variety. Different challenges occur in healthcare (increasing cost of care, population growth and lack of caregivers). For that, intelligent applications with Agent Technology can provide better health care than the conventional medical system. In fact, the characteristics of Intelligent Agents (proactivity, sociability, autonomy) are a good choice to solve many problems in this regard, since the key success parameter it was the natural mapping for real-life medical issues into electronic life. The design of Multi-agent architecture will effectively paradigm the heterogeneous, distributed, and independent health treatment systems. The multi-agent systems have been used of individual healthcare processes such as a knowledge-depend medical system for complex, multi-parties depend on systems such as a total healthcare where The applied from multi-agent systems(mas) in health treatment sector also has been opened avenues for discovering innovative applications such as socialized and personalized health care models. Therefore, when creating an agent-depend simulation, one of the most important questions to consider is how to model the decision decision-making operations for the agents in the model. In the literature, the wide There are a variety of agent decision-making models available, all of them motivated by multiple goals and study questions. The research explains the advances made so far in the development of regulatory frameworks for deliberative autonomous software in a partially observable environment. In this paper, we display an overview for some of an agent that has attracted attention (Beliefs Desires and Intentions (BDI) and its derivatives such as Extensible Beliefs Desires and Intentions (EBDI), Beliefs-Desires-Obligations-Intentions (BOID)).).
Revealing the features of the intelligent agent and its interactive behavior with complex environments whose events cannot be expected is a source of interest for researchers. What we will put in the hands of the interested person is to review key concepts in the design and implementation of test environments, noting the importance of the testbed, in addition to the knowledge bases required by these designs, presenting the definition of the intelligent agent and its features to be disclosed within the testbed. As for the types of test beds and their features, they have an important aspect in these papers.
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