This paper proposes the design of a recommender system that uses knowledge stored in the form of ontologies. The interactions amongst the peer agents for generating recommendations are based on the trust network that exists between them. Recommendations ...

Shapiro et al. [2005; 2006], presented a framework for representing goal change in the situation calculus. In that framework, agents adopt a goal when requested to do so (by some agent reqr), and they remain committed to the goal unless the request is ...

In this paper, we present the agent programming language TEAMGOLOG, which is a novel approach to programming a team of cooperative agents under partial observability. Every agent is associated with a partial control program in Golog, which is completed ...

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 themselves be trusted to varying degrees. Hence an ability to combine evidence-...

This paper presents a methodology for designing trading agents for complex games. We compute, for the first time, Bayes-Nash equilibria for first-price single-unit auctions and mth-price multiunit auctions, when the auction has a set of possible closing ...

One of the major tasks in swarm intelligence is to design decentralized but homogenoeus strategies to enable controlling the behaviour of swarms of agents. It has been shown in the literature that the point of convergence and motion of a swarm of ...

Behavioral norms are key ingredients that allow agent coordination where societal laws do not sufficiently constrain agent behaviors. Whereas social laws need to be enforced in a top-down manner, norms evolve in a bottom-up manner and are typically more ...

We introduce a general study of routing mediators. A routing mediator can act in a given multi-agent encounter on behalf of the agents that give it the right of play. Routing mediators differ from one another according to the information they may have. ...

In open and distributed systems, agents must engage in interactions of which they have no previous experience. Deontic models are widely used to describe aspects of permission, obligation, and trust anticipated by such agents, but no practical mechanism ...

We propose a novel approach to self-regenerating systems which require continuous operation, such as security surveillance. For that aim we introduce HADES, a self-regenerating cooperative multi-agent system with local monitoring. When agents of HADES ...

This paper presents a novel approach for providing automated trading agents to a population, focusing on bilateral negotiation with unenforceable agreements. A new type of agents, called semicooperative (SC) agents is proposed for this environment. When ...

In this paper, a Multi-agent System (MAS) is presented for providing clinical decision support to healthcare practitioners in rural or remote areas of India for young infants or children up to the age of 5 years. The government is unable to appoint ...

We study auction-like algorithms for the distributed allocation of tasks to cooperating agents. To reduce the team cost of sequential single-item auction algorithms, we generalize them to assign more than one additional task during each round, which ...

Social law is perceived as evolving through the competition of individual social strategies held by the agents. A strategy with strong authority, accepted by many agents, will tend to diffuse to the remaining agents. The authority of a social strategy ...

Organizational models within multi-agent systems literature are of a static nature. Depending upon circumstances adaptation of the organizational model can be essential to ensure a continuous successful function of the system. This paper presents an ...

In this paper, we present a multi-agent control method for a large-scale network system. We propose an extension of a token-based coordination technique to improve the tradeoff between two conflicting objectives of the network system: reducing the lead ...

Holonic Multi-Agent Systems (HMAS) are a convenient and relevant way to analyze, model and simulate complex and open systems. Accurately simulate in real-time complex systems, where a great number of entities interact, requires extensive computational ...

We investigate legal and philosophical notions of privacy in the context of artificial agents. Our analysis utilizes a normative account of privacy that defends its value and the extent to which it should be protected: privacy is treated as an interest ...

Although there are some research efforts toward resource allocation in multi-agent systems (MAS), most of these work assume that each agent has complete information about other agents. This research investigates interactions among selfish, rational, and ...

We present a proactive communication approach that allows CBR agents to gauge the strengths and weaknesses of other CBR agents. The communication protocol allows CBR agents to learn from communicating with other CBR agents in such a way that each agent ...