Drug and vaccination therapies are important tools in the battle against infectious diseases such as HIV and influenza. However, many viruses, including HIV, can rapidly escape the therapeutic effect through a sequence of mutations. We propose to design ...

This paper deals with fair optimization problems where several agents are involved. In this setting, a solution is evaluated by a vector whose components are the utility of the agents for this solution, and one looks for solutions that fairly satisfy ...

Motivated by the energy domain, we examine a risk-averse buyer that has to purchase a fixed quantity of a continuous good. The buyer has two opportunities to buy: now or later. The buyer can spread the quantity over the two timeslots in any way, as long ...

We study the complexity of voting control problems in multi-peaked elections. In particular, we focus on the constructive/destructive control by adding/deleting votes under Condorcet, Maximin and Copeland^α voting systems. We show that the NP of these ...

To ensure cooperation in the Prisoner's Dilemma, agents may require prior commitments from others, subject to compensations when defecting after agreeing to commit. Alternatively, agents may prefer to behave reactively, without arranging prior ...

Agent-based technologies, originally proposed with the aim of assisting human activities, have been recently adopted in industry for automating business processes. Business Process Model and Notation (BPMN) is a standard notation for modeling business ...

In a party-based election, the voters are grouped into parties and all voters of a party are assumed to vote according to the party preferences over the candidates. Hence, once the party preferences are declared the outcome of the election can be ...

Voting rules are powerful tools that allow multiple agents to aggregate their preferences in order to reach joint decisions. A common flaw of some voting rules, known as the no-show paradox, is that agents may obtain a more preferred outcome by ...

Coalition formation provides a versatile framework for analyzing cooperative behavior in multi-agent systems. In particular, hedonic coalition formation has gained considerable attention in the literature. An interesting class of hedonic games recently ...

The science of cybersecurity has recently been garnering much attention among researchers and practitioners dissatisfied with the ad hoc nature of much of the existing work on cybersecurity. Cybersecurity offers a great opportunity for multiagent ...

The situation calculus can express rich agent behaviours and goals and facilitates the reduction of complex planning problems to theorem proving. However, in many planning problems, solution quality is critically important, and the achievable quality is ...

Influence maximization is a problem of maximizing the aggregate adoption of products, technologies, or even beliefs. Most past algorithms leveraged an assumption of submodularity that captures diminishing returns to scale. While submodularity is natural ...

Particle Swarm Optimization (PSO) has been a popular meta-heuristic for black-box optimization for almost two decades. In essence, within this paradigm, the system is fully defined by a swarm of "particles" each characterized by a set of features such ...

We study the manipulation problem in elections with bounded single-peaked width from the parameterized complexity point of view. In particular, we focus on the Borda, Copeland^α and Maximin voting correspondences. For Borda, we prove that the unweighted ...