Stochastic approximation methods-Powerful tools for simulation and optimization: A survey of some recent work on multi-agent systems and cyber-physical systems

2014 ◽  
Author(s):  
George Yin ◽  
Le Yi Wang ◽  
Hongwei Zhang
Keyword(s):  
Recent Work ◽  
Stochastic Approximation ◽  
Cyber Physical Systems ◽  
Approximation Methods ◽  
Multi Agent Systems ◽  
Physical Systems ◽  
Simulation And Optimization ◽  
Agent Systems ◽  
Multi Agent

scholarly journals Trust Model of Information Security of the Environment of Multi-Agent Robotic Systems

2020 ◽  
pp. 23-31
Author(s):  
Andrey Stepenkin ◽  
Keyword(s):  
Internet Of Things ◽  
Trust Model ◽  
Cyber Physical Systems ◽  
Robotic Systems ◽  
The Internet ◽  
Multi Agent Systems ◽  
Physical Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
The Internet Of Things

The capabilities of robotic systems are growing rapidly. The ways of operating such systems are increasing every day. Sensor networks, the Internet of Things, cyber-physical systems have similar properties as multi-agent robotic systems, which allows us to consider the approaches and methods of ensuring security used in them. Purpose of the article: improving the security of multi-agent systems in an uncontrolled environment, developing methods for assessing trust of the environment. Research methods: analysis of existing threat models for multi-agent robotic systems, as well as systems with similar properties: cyber-physical systems and the Internet of things. Analysis of the research results of existing approaches to ensuring the security of multi-agent systems. The results: an analysis of security threats and existing methods of ensuring security for robotic multi-agent systems, as well as systems with similar properties, was carried out. An extension for security methods based on trust and reputation has been developed, taking into account the operating environment of the system as part of information interaction. A method for localizing the subject of an external intruder in the environment is proposed.

Token-based Execution Semantics for Multi-Agent Epistemic Planning

2020 ◽  
Author(s):  
Thorsten Engesser ◽  
Robert Mattmüller ◽  
Bernhard Nebel ◽  
Felicitas Ritter
Keyword(s):  
Recent Work ◽  
World Knowledge ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Planning Task ◽  
Subjective Perspective ◽  
Execution Semantics ◽  
Implicit Coordination

Epistemic planning has been employed as a means to achieve implicit coordination in cooperative multi-agent systems where world knowledge is distributed between the agents, and agents plan and act individually. However, recent work has shown that even if all agents act with respect to plans that they consider optimal from their own subjective perspective, infinite executions can occur. In this paper, we analyze the idea of using a single token that can be passed around between the agents and which is used as a prerequisite for acting. We show that introducing such a token to any planning task will prevent the existence of infinite executions. We furthermore analyze the conditions under which solutions to a planning task are preserved under our tokenization.

Towards a Hybrid MAS Organizational Model

2017 ◽  
Vol 7 (4) ◽  
pp. 18-50 ◽  
Author(s):  
Hosny A. Abbas ◽  
Samir Shaheen
Keyword(s):  
Recent Work ◽  
Conceptual Design ◽  
Multi Agent Systems ◽  
Organizational Model ◽  
Organizational Models ◽  
Agent Based ◽  
Agent Systems ◽  
Advantages And Disadvantages ◽  
Multi Agent ◽  
Micro Level

The organizational aspects are currently getting a great attention within the multi-agent systems (MAS) community. The motivation towards this trend is finding a way to handle the increasing complexity and distribution of modern agent-based applications using higher order abstractions such as agent organizations. It is a transition from concerning the micro level (individual agents) to concerning the macro level (the whole system) to handle complexity. A large number of MAS organizational models can be found in MAS literature. Some of them adopt the ACMAS (Agent-Centered MAS) viewpoint and others adopt the OCMAS (Organizational-Centered MAS) viewpoint. Each of the ACMAS and OCMAS viewpoints has its advantages and disadvantages; therefore, combining them into a hybrid model is expected to give us the chance to take benefit of their advantages and avoid their disadvantages. This chapter presents our recent work towards the conceptual design of a hybrid MAS organizational model that combines both of the ACMAS and OCMAS viewpoints.

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