scholarly journals Open Multi-Agent Systems: Agent Communication and Integration

2000 ◽  
pp. 218-232 ◽  
Author(s):  
Rogier M. van Eijk ◽  
Frank S. de Boer ◽  
Wiebe van der Hoek ◽  
John-Jules C. Meyer
Keyword(s):  
Multi Agent Systems ◽  
Agent Communication ◽  
Agent Systems ◽  
Multi Agent

The Science of Social Emergence

2009 ◽  
pp. 1-16 ◽  
Author(s):  
R. Keith Sawyer
Keyword(s):  
Scientific Study ◽  
Multi Agent Systems ◽  
Agent Communication ◽  
Agent Modeling ◽  
Agent Systems ◽  
Agent Communication Languages ◽  
Interaction Processes ◽  
Multi Agent ◽  
Rigorous Study ◽  
Social Emergence

Sociology should be the foundational science of social emergence. But to date, sociologists have neglected emergence, and studies of emergence are more common within microeconomics. Moving forward, I argue that a science of social emergence requires two advances beyond current approaches—and that sociology is better positioned than economics to make these advances. First, consistent with existing critiques of microeconomics, I argue that we need a more sophisticated representation of individual agents. Second, I argue that multi-agent models need a more sophisticated representation of interaction processes. The agent communication languages currently used by multi-agent systems researchers are not appropriate for modeling human societies. I conclude by arguing that the scientific study of interaction and emergence will have to migrate out of microeconomics and become a part of sociology. Sociologists, for their part, should embrace multi-agent modeling to pursue a more rigorous study of these traditional sociological issues.

Kernel Design and Distributed, Self-Triggered Control for Coordination of Autonomous Multi-Agent Configurations

Robotica ◽  
2018 ◽  
Vol 36 (7) ◽  
pp. 1077-1097 ◽  
Author(s):  
Levi DeVries ◽  
Aaron Sims ◽  
Michael D. M. Kutzer
Keyword(s):  
Experimental Validation ◽  
Graph Transformation ◽  
Multi Agent Systems ◽  
Graph Topology ◽  
Agent Communication ◽  
Agent Systems ◽  
Cloud Server ◽  
Multi Agent ◽  
Kernel Design ◽  
Theoretical Results

SUMMARYAutonomous multi-agent systems show promise in countless applications, but can be hindered in environments where inter-agent communication is limited. In such cases, this paper considers a scenario where agents communicate intermittently through a cloud server. We derive a graph transformation mapping the kernel of a graph's Laplacian to a desired configuration vector while retaining graph topology characteristics. The transformation facilitates derivation of a self-triggered controller driving agents to prescribed configurations while regulating instances of inter-agent communication. Experimental validation of the theoretical results shows the self-triggered approach drives agents to a desired configuration using fewer control updates than traditional periodic implementations.

scholarly journals A computational model of argumentation schemes for multi-agent systems

2021 ◽  
pp. 1-39
Author(s):  
Alison R. Panisson ◽  
Peter McBurney ◽  
Rafael H. Bordini
Keyword(s):  
Decision Making ◽  
Autonomous Agents ◽  
Uncertain Information ◽  
Application Domain ◽  
Argumentation Schemes ◽  
Multi Agent Systems ◽  
Argumentation Framework ◽  
Agent Communication ◽  
Agent Systems ◽  
Multi Agent

There are many benefits of using argumentation-based techniques in multi-agent systems, as clearly shown in the literature. Such benefits come not only from the expressiveness that argumentation-based techniques bring to agent communication but also from the reasoning and decision-making capabilities under conditions of conflicting and uncertain information that argumentation enables for autonomous agents. When developing multi-agent applications in which argumentation will be used to improve agent communication and reasoning, argumentation schemes (reasoning patterns for argumentation) are useful in addressing the requirements of the application domain in regards to argumentation (e.g., defining the scope in which argumentation will be used by agents in that particular application). In this work, we propose an argumentation framework that takes into account the particular structure of argumentation schemes at its core. This paper formally defines such a framework and experimentally evaluates its implementation for both argumentation-based reasoning and dialogues.

Evolution of Multi-Agent Systems as Continua

2014 ◽  
Vol 136 (4) ◽  
Author(s):  
Hossein Rastgoftar ◽  
Suhada Jayasuriya
Keyword(s):  
Time Varying ◽  
Multi Agent Systems ◽  
Agent Communication ◽  
Current Configuration ◽  
Agent Systems ◽  
First Case ◽  
Multi Agent ◽  
Spatially Varying ◽  
New Framework ◽  
The Continuum

In this paper, a new framework for evolution of multi-agent systems (MAS) based on principles of continuum mechanics is developed. Agents are treated as mass particles of a continuum whose evolution (both translation and deformation) is modeled as a homeomorphism from a reference to the current configuration. Such a mapping assures that no two mass particles of the continuum occupy the same location at any given time, thus guaranteeing that inter-agent collision is avoided during motion. We show that a special class of mappings whose Jacobian is only time varying and not spatially varying has some desirable properties that are advantageous in studying swarms. Two specific scenarios are studied where the evolution of a swarm from one configuration to another occurs with no inter-agent collisions while avoiding obstacles, under (i) zero inter-agent communication and (ii) local inter-agent communication. In the first case, a desired map is computed by each agent all knowing the positions of a few leader agents in a reference and the desired configurations. In the second case, paths of n + 1 leader agents evolving in an n-D space are known only to the leaders, while positions of follower agents evolve through updates that are based on positions of n + 1 adjacent agent through local communication with them. The latter is based on a set of weights of communication of follower agents that are predicated on certain distance ratios assigned on the basis of the initial formation of the MAS. Properties of homogeneous maps are exploited to characterize the necessary communication protocol.

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