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The successful integration of automation in systems that affect human experiences requires the user acceptance of those automated functionalities. For example, the human comfort felt during a ride is affected by the automated control behavior of the ...

A patrol of robot teams, where the robots are required to repeatedly visit a target area, is a useful tool in detecting an adversary trying to penetrate. In this work we examine the Closed Perimeter Patrol problem, in which the robots travel along a ...

Recent work studied Stackelberg security games with multiple defenders, in which heterogeneous defenders allocate security resources to protect a set of targets against a strategic attacker. Equilibrium analysis was conducted to characterize outcomes of ...

In this paper we present a space-ship game which allows us to evaluate human behavior with respect to maintenance and repairing malfunctions. We ran an experiment in which subjects played the space-ship game twice. In one of the games, they were simply ...

We investigate the effect a social network could have on voting outcomes. We consider a group of self-interested agents where each agent has a strict preference order over a set of outcomes. Each agent votes strategically, taking into consideration both ...

Automated agents that interact proficiently with people can be useful in supporting or replacing people in complex tasks. The inclusion of people presents novel problems for the design of automated agents' strategies. People do not necessarily adhere to ...

Extensive use of computerized forums and chat-rooms provides a modern venue for deception. We propose introducing an agent to assist in detecting and incriminating a deceptive participant. We designed a game, where deception in a text based discussion ...

Reducing energy consumption of climate control systems is important in order to reduce human environmental foot-print. We consider a method for an automated agent to provide advice to drivers which will motivate them to reduce the energy consumption of ...

The use of robot teams is common for performing patrol tasks, in which the robots are required to repeatedly visit a target area (perimeter, in our case) controlled by an adversary, in order to detect penetrations. Previous work has focused on ...

Evaluating complex propositions that are composed of several lotteries is a difficult task for humans. Presentation styles can affect the acceptance rate of such proposals. We introduce an agent that chooses between two presentation methods, while ...

To date, a variety of automated negotiation agents have been created. While each of these agents has been shown to be effective in negotiating with people in specific environments, they lack natural language processing support required to enable real-...

We consider the problem of computing effective coalition structures in situations where the coalitions that can be formed and the value of these coalitions is determined by a social network, indicating the strength of relationships between agents. We ...

When humans face a broad spectrum of topics, where each topic consists of several options, they usually make a decision on each topic separately. Usually, a person will perform better by making a global decision, however, taking all consequences into ...

Traditional recommender systems minimize prediction error with respect to users' choices. Recent studies have shown that recommender systems have a positive effect on the provider's revenue.

In this paper we show that by providing a set of ...

Many negotiations in the real world are characterized by incomplete information, and participants' success depends on their ability to reveal information in a way that facilitates agreement without compromising the individual gains of agents. This paper ...

Motivated by recent deployments of Stackelberg security games (SSGs), two competing approaches have emerged which either integrate models of human decision making into game-theoretic algorithms or apply robust optimization techniques that avoid ...

In recent years there has been extensive research on game-theoretic models for infrastructure security. In time-critical domains where the security agency needs to execute complex patrols, execution uncertainty(interruptions) affect the patroller's ...

In this paper we analyze and propose solutions for complex tasks allocation problem that have predetermined and known overall payments for any given task. More specifically, here we concentrated on scenarios where agents are willing to undertake any ...

As agents' technology becomes increasing more prevalent, coordination in mixed agent-human environments becomes a key issue. Agent-human coordination is becoming even more important in real life situations, where uncertainty and incomplete information ...

People's cultural background has been shown to affect the way they reach agreements in negotiation and how they fulfill these agreements. This paper presents a novel agent design for negotiating with people from different cultures. Our setting involved ...