Agents with limited capacities need to cooperate with others to fulfil complex tasks in a multi-agent system. To find a reliable partner, agents with insufficient experience have to seek advice from advisors. Currently, most models are rating-based, aggregating advisors’ information on partners and calculating averaged results. These models have some drawbacks, like being vulnerable to unfair ratings under a high ratio of dishonest advisors or dynamic attacks and locally convergent. Therefore, this paper proposes a Ranking-based Partner Selection (RPS) model, which clusters honest and dishon...