We propose a pheromone-based traffic management model, which simultaneously optimizes vehicle re-routing and traffic light control. Specifically, each car agent deposits multiple digital pheromone on its route. The road infrastructure agents fuse the ...

Multi-agent systems are widely used in renewable and natural resources management. Multi-agent systems are able to manage the complexity of such systems characterized by a large number of interacting entities with different levels of granularity and ...

In order to achieve distributed data mining quickly and efficiently, this paper proposes SMAJL, a model for sampling based multi-agent joint learning which integrates sampling technology and multi-agent argumentation in the field of association rule ...

There is a growing interest in applying multiagent systems for smart-home environment supporting self-caring elderly. In this paper we investigate situations and conditions for coordination for such kind of system. We specify a high level architecture ...

Taxi service is an important mode of modern public transportation. However, operated by a large number of self-controlled and profit-driven taxi drivers, taxi systems are quite in efficient and difficult to analyze and regulate. While there has been ...

Teams of mobile robots often need to divide up subtasks efficiently. In spatial domains, a key criterion for doing so may depend on distances between robots and the subtasks' locations. This research considers a specific such criterion, namely how to ...

As the prevalence of autonomous agents grows, so does the number of interactions between these agents. Therefore, it is desirable for these agents to be capable of collaborating without pre-coordination. While past research on ad hoc teamwork has ...

We modeled the conflict situation using a Markov game on various complex networks and investigated the emergence of conventions for conflict resolutions in agent networks with various structures through pairwise reinforcement learning. We found the ...

We consider the problem of coverage path planning by multiple robots in an environment where the location and geometry of obstacles are initially unknown to the robots. We propose a novel algorithm where the robots initially partition the environment ...

Autonomous Intersection Management (AIM) is a reservation-based intersection control protocol that leverages the capacities of autonomous vehicles to dramatically reduce traffic delay at intersections. AIM was designed for the time when all, or most, of ...

Task allocation is an important topic in multiagent and multi-robot teams. In recent years, there has been much research on the use of auction-based methods to provide a distributed approach to task allocation. Team members bid on tasks based on local ...

In this paper we present an approach for multiagent resource allocation that supports preemption in a fully distributed, cooperative setting (i.e. allowing for resources to be reassigned to agents, as the need arises, even as tasks are currently ...

In this paper, we investigate a non-cooperative sequential bargaining game for allowing a group of agents agents to partition themselves into non-overlapping coalitions. We focus on the issue of how a player's position on the bargaining agenda affects ...

In this paper, we give formal semantics to speech acts for argumentative dialogues in the context of an agent-oriented programming language. Our approach to giving formal semantics to such speech acts uses operational semantics and builds upon existing ...

Past research has investigated a number of methods for coordinating teams of agents, but, with the growing number of sources of agents, it is likely that agents will encounter teammates that do not share their coordination methods. Therefore, it is ...

In this paper, we develop a novel algorithm which finds a subset of Pareto front of a Multi-Objective Distributed Constraint Optimization Problem. This algorithm utilizes the Lp-norm method, pseudo-tree, and Dynamic Programming technique. Furthermore, ...

This paper presents a framework for multiagent systems trust modeling that reasons about both user credibility and user similarity. Through simulation, we are able to show that our approach works well in social networking environments by presenting ...

We propose a design methodology to provide cognitive capabilities to large-scale artificial distributed systems. The behaviour of such systems is the result of non-linear interactions of the individuals with each other and with the environment, and the ...

We study manipulability in elections when the number of candidates is large. Elections with a large number of voters have been studied in the literature and the focus of this paper is on studying election with a large number of candidates. ...