6. Multi-agent communication, planning, and collaboration based on perceptions, conceptions, and simulations

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.

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Learning multi-agent communication with double attentional deep reinforcement learning

Autonomous Agents and Multi-Agent Systems ◽

10.1007/s10458-020-09455-w ◽

2020 ◽

Vol 34 (1) ◽

Author(s):

Hangyu Mao ◽

Zhengchao Zhang ◽

Zhen Xiao ◽

Zhibo Gong ◽

Yan Ni

Keyword(s):

Reinforcement Learning ◽

Agent Communication ◽

Multi Agent

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Communication Security in MAS with XML Security Specifications

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.65.251 ◽

2011 ◽

Vol 65 ◽

pp. 251-254 ◽

Cited By ~ 1

Author(s):

Bo Sun ◽

Hua Chen

Keyword(s):

Security Requirements ◽

Communication Security ◽

Security Model ◽

Multi Agent System ◽

Security Mechanism ◽

Security Technology ◽

Data Format ◽

Agent Communication ◽

Fine Grained ◽

Multi Agent

With widely applications of Multi-Agent System (MAS) on internet and intranet, how to ensure security regarding multi-agent communication is a big issue. Traditional cryptographic technologies support a coarse granularity security. This paper adopts XML security technology to provide a security mechanism for MAS communication. With the combination of XML security specifications and MAS, the paper presents a fine-grained security model for MAS communication. The model proposed can satisfy the security requirements of MAS communication based on XML data format.

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

Robotica ◽

10.1017/s0263574718000231 ◽

2018 ◽

Vol 36 (7) ◽

pp. 1077-1097 ◽

Cited By ~ 4

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.

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