Norm-enforcement models applied in human societies may serve as an inspiration for the design of multi-agent systems. Models for normenforcement in multi-agent systems often focus either on the intraor interagent level. We propose a combined approach to identify objectives for an architecture for self-regulating agents. In this paper we assess how changes on the inter-agent level affect the int...

A mean-field sandpile model that exhibits self-organized criticality (SOC) despite violation of the grain-transfer conservation law during avalanches is proposed. The sandpile consists of N agents and possesses background activity with intensity η ∈ [0, 1]. Background activity is characterized by transitions between two stable agent states. Analysis employing theories of branching processes and...

In this work, we address the problem of coordinating the distributed execution of plans and schedules by multiple agents subject to a number of different execution uncertainties. The coordination of multi-agent teams in uncertain, dynamic domains is a challenging problem requiring the fusion of techniques from many disciplines. We describe an approach based on the dynamic and selective use of a...

In order to construct and deploy massively multiagent systems, we must address one of the fundamental issues of distributed systems, the possibility of partial failures. In this paper, we discuss the issues and propose an approach for fault-tolerance of massively multiagent systems. The starting idea is the application of replication strategies to agents. As criticality of agents may evolve dur...

We deal with systems using massive multi-agent organizations and expressing complex problems like the representation of behavior of social organizations. We propose an analysis and an operating representation of multi-agent organization in a geometric way, using specific multi-agent organization in a morphologic agent space. We propose also an architecture expressing the behavior of the massive...

We deal with systems using massive multi-agent organizations and expressing complex problems like the representation of the world sub-system managing the behavior of a robot. We propose an analysis and an operating representation of multi-agent organization in a geometric way, using specific multi-agent organization in a morphologic agent space. We propose also an architecture expressing the be...

This chapter presents an adaptive organizational policy for multi-agent systems called TRACE. TRACE allows a collection of multi-agent organizations to dynamically allocate tasks and resources between themselves in order to efficiently process and incoming stream of tasks. The tasks have deadlines and their arrival pattern changes over time. Hence, at any instant, some organizations could have ...