Increasing Profit in Agent Business Model with Trust

Development of new technology also brings new areas where it would be appropriate to automatize or simulate human activity. One way to achieve this is to use agent systems. In these cases the agent as a software component represents the human decision-making process and acting on his behalf. To achieve its goals often needs to cooperate with other agents. Trustworthiness of these agents may play a key role in efforts to achieve these goals. In real life in these cases is decisions made based on the experience with that partner. How to handle with these experiences and how they determine the risk of cooperation is one of the topics of artificial intelligence. A possible solution is to use the principles of trust and reputation. There are many studies in different objectives. This article aims to propose a model of trust and reputation based on the standard human decision-making, with application mainly in the field of e-commerce.