Abstract. The trusting agent in order to analyze the Risk that could be present in its future interaction with a trusted agent might solicit for its recommendations from other agents. Based on the recommendations achieved the trusting agent can decide whether to interact or not with the trusted agent. If the trusting agent decides to proceed, then after its interaction it should adjust the creditability of the recommending agents, whose recommendation it considered. Doing this would help the future trusting agents to classify the recommending agents according to their trustworthiness and ignore those which are un-trustworthy. In this paper we propose such an approach by which the trusting agent adjusts the credibility of the recommending ag...
An agent\u27s assessment of its trust in another agent is commonly taken to be a measure of the reli...
Current computational trust models are usually built either on an agents direct experience of an int...
Decision making is a complex process. It involves dealing with a lot of uncertainty and projecting i...
The trusting agent in order to analyze the Risk that could be present in its future interaction with...
In multi-agent systems, agents must typically interact with others to achieve their goals. Since age...
Current mechanisms for evaluating the trustworthiness of an agent within an electronic marketplace d...
A common problem in intelligent-agent-based systems is that of cooperation. It is imperative that su...
Increasing availability of information has furthered the need for recommender systems across a varie...
Trust is one of the most important social concepts that helps human agents to cope with their social...
Multi-agent systems can break interactions in distributed and heterogeneous environments. One of the...
Abstract. Current mechanisms for evaluating the trustworthiness of an agent within an electronic mar...
There have been various definitions, representations and derivations of trust in the context of reco...
Abstract. The community of multi-agent systems has been studying ways to improve the selection of pa...
Abstract — This paper describes a trust model for multia-gent recommender systems. A user’s request ...
This article addresses the problem of finding suitable agents to collaborate with for a given intera...
An agent\u27s assessment of its trust in another agent is commonly taken to be a measure of the reli...
Current computational trust models are usually built either on an agents direct experience of an int...
Decision making is a complex process. It involves dealing with a lot of uncertainty and projecting i...
The trusting agent in order to analyze the Risk that could be present in its future interaction with...
In multi-agent systems, agents must typically interact with others to achieve their goals. Since age...
Current mechanisms for evaluating the trustworthiness of an agent within an electronic marketplace d...
A common problem in intelligent-agent-based systems is that of cooperation. It is imperative that su...
Increasing availability of information has furthered the need for recommender systems across a varie...
Trust is one of the most important social concepts that helps human agents to cope with their social...
Multi-agent systems can break interactions in distributed and heterogeneous environments. One of the...
Abstract. Current mechanisms for evaluating the trustworthiness of an agent within an electronic mar...
There have been various definitions, representations and derivations of trust in the context of reco...
Abstract. The community of multi-agent systems has been studying ways to improve the selection of pa...
Abstract — This paper describes a trust model for multia-gent recommender systems. A user’s request ...
This article addresses the problem of finding suitable agents to collaborate with for a given intera...
An agent\u27s assessment of its trust in another agent is commonly taken to be a measure of the reli...
Current computational trust models are usually built either on an agents direct experience of an int...
Decision making is a complex process. It involves dealing with a lot of uncertainty and projecting i...