This paper discusses the specifics of planning in multiagent environments. It presents the formal framework MAPL (“maple”) for describing multiagent planning domains. MAPL allows to describe both qualitative and quantitative temporal relations among events, thus subsuming the temporal models of both PDDL 2.1 and POP. Other features are different levels of control over actions, modeling of agent...

This paper focuses on the foundational role of interactive epistemology in the problem of generating plans for rational agents in multiagent settings. Interactive epistemology deals with the logic of knowledge and belief when there is more than one agent. In multiagent settings, we are interested in not only the agent’s knowledge of the state of the world, but also its belief over the other age...

Social commitments have long been recognized as an important concept for multiagent systems. We propose a rich formulation of social commitments that motivates an architecture for multiagent systems, which we dub spheres of commitment. We identify the key operations on commitments and multiagent systems. We distinguish between explicit and implicit commitments. Multiagent systems, viewed as sph...

Multiagent systems are distributed systems in which a number of individual autonomous heterogeneous agents interact and operate in an environment. Agents can be physical (computers or robots) or logical (software) entities. One of the early classical applications of the multiagent systems was in distributed sensing and monitoring, as appears from the work by Victor Lesser and colleagues (1981) ...

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 systems research. We motivate cybersecurity as an application area for multiagent systems with an emphasis on normative multiagent systems. First, we ...

With the growing usage of the world-wide information technology networks, agent technologies and multiagent systems are attracting more and more attention, as they perform well in environments that are not necessarily well-structured and benevolent. Looking at the problem solving capacity of multiagent systems, emergent system behaviour is one of the most interesting phenomena. But there is mor...

It is crucial for social systems to adapt to the dynamics of open environments. This adaptation process becomes especially challenging in the context of multiagent systems. In this paper, we argue that multiagent meta-level control is an effective way to determine when this adaptation process should be done and how much effort should be invested in adaptation as opposed to continuing with the c...

Emotions play a significant role in human teamwork. However, despite the significant progress in multiagent teamwork, as well as progress in computational models of emotions, there have been very few investigations of the role of emotions in multiagent teamwork. This chapter attempts a first step towards addressing this shortcoming. It provides a short survey of the state of the art in multiage...

Emotions play a significant role in human teamwork. However, despite the significant progress in multiagent teamwork, as well as progress in computational models of emotions, there have been very few investigations of the role of emotions in multiagent teamwork. This chapter attempts a first step towards addressing this shortcoming. It provides a short survey of the state of the art in multiage...

DEC-POMDPs provide formal models of many cooperative multiagent problems, but their complexity is NEXP-complete in general. We investigate a sub-class of DEC-POMDPs termed multiagent expedition. A typical instance consists of an area populated by mobile agents. Agents have no prior knowledge of the area, have limited sensing and communication, and effects of their actions are uncertain. Success...