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Open problems in cooperative AI
Problems of cooperation--in which agents seek ways to jointly improve their welfare--are
ubiquitous and important. They can be found at scales ranging from our daily routines--such …
ubiquitous and important. They can be found at scales ranging from our daily routines--such …
Trust and reputation models for multiagent systems
J Granatyr, V Botelho, OR Lessing… - ACM Computing …, 2015 - dl.acm.org
Finding reliable partners to interact with in open environments is a challenging task for
software agents, and trust and reputation mechanisms are used to handle this issue. From …
software agents, and trust and reputation mechanisms are used to handle this issue. From …
A survey of multi-agent trust management systems
In open and dynamic multiagent systems (MASs), agents often need to rely on resources or
services provided by other agents to accomplish their goals. During this process, agents are …
services provided by other agents to accomplish their goals. During this process, agents are …
[PDF][PDF] Challenges for robust trust and reputation systems
The purpose of trust and reputation systems is to strengthen the quality of markets and
communities by providing an incentive for good behaviour and quality services, and by …
communities by providing an incentive for good behaviour and quality services, and by …
[PDF][PDF] Formal Trust Model for Multiagent Systems.
Trust should be substantially based on evidence. Further, a key challenge for multiagent
systems is how to determine trust based on reports from multiple sources, who might …
systems is how to determine trust based on reports from multiple sources, who might …
A reputation-based trust evaluation model in group decision-making framework
In group decision-making (GDM) problems, experts need to communicate and adjust their
opinions in order to achieve consensus on the final decision-making output. Since experts …
opinions in order to achieve consensus on the final decision-making output. Since experts …
A review of theoretical and practical challenges of trusted autonomy in big data
Despite the advances made in artificial intelligence, software agents, and robotics, there is
little we see today that we can truly call a fully autonomous system. We conjecture that the …
little we see today that we can truly call a fully autonomous system. We conjecture that the …
An efficient and versatile approach to trust and reputation using hierarchical bayesian modelling
In many dynamic open systems, autonomous agents must interact with one another to
achieve their goals. Such agents may be self-interested and, when trusted to perform an …
achieve their goals. Such agents may be self-interested and, when trusted to perform an …
Exploring different types of trust propagation
Trust propagation is the principle by which new trust relationships can be derived from pre-
existing trust relationship. Trust transitivity is the most explicit form of trust propagation …
existing trust relationship. Trust transitivity is the most explicit form of trust propagation …
The first automated negotiating agents competition (ANAC 2010)
Motivated by the challenges of bilateral negotiations between people and automated agents
we organized the first automated negotiating agents competition (ANAC 2010). The purpose …
we organized the first automated negotiating agents competition (ANAC 2010). The purpose …