SiMAMT

Author(s):  
D. Michael Franklin ◽  
Xiaolin Hu

Multi-agent multi-team systems are commonly seen in environments where hierarchical layers of goals are at play. For example, theater-wide combat scenarios where multiple levels of command and control are required for proper execution of goals from the general to the foot soldier. Additionally, similar structures can be seen in game environments, where agents work together as teams to compete with other teams. The different agents within the same team must, while maintaining their own “personality”, work together and coordinate with each other to achieve a common team goal. This paper develops strategy-based multi-agent multi-team systems, where strategy is framed as an instrument at the team level to coordinate the multiple agents of a team in a cohesive way. The authors present SiMAMT, a framework for strategy-based multi-agent multi-team systems. The different components of the framework, including strategy simulation, strategy inference, strategy evaluation, and strategy selection are described. A formal specification of strategy and strategy-based multi-agent multi-team systems is provided. An example and experimental results are given to illustrate the proposed framework and its efficacy.

Author(s):  
Sota Tsuiki ◽  
Keisuke Yoneda ◽  
Toshiharu Sugawara

This paper proposes a method to mitigate the significant performance degradation due to planned suspensions in the multi-agent cooperative patrol problem. In recent years, there has been an increased demand to utilize multiple intelligent agents that control robots. Furthermore, cooperation between multiple agents is required for performing tasks that are complex and/or cover large spaces. However, since robots are machines, they must be periodically inspected or replaced with new ones to prevent unintended breakdowns for continuous operation and to prolong the lifetime of agents as much as possible. However, such suspension of agents for inspection can cause a sudden deterioration in performance, which is not ignorable in some applications. Meanwhile, such suspensions are usually planned; thus, we can know in advance which agents will stop, and when, to anticipate a preparation period before the actual suspension time. Thus, we introduce a negotiation method in which the agents that are scheduled to be suspended hand over some responsible and important tasks to other agents to reduce the impact of a sudden performance degradation. The experimental results show that the proposed method considerably reduces the performance degradation, especially for security patrol applications.


2014 ◽  
Vol 39 (9) ◽  
pp. 1431-1438 ◽  
Author(s):  
Xiao-Yuan LUO ◽  
Shi-Kai SHAO ◽  
Xin-Ping GUAN ◽  
Yuan-Jie ZHAO

2020 ◽  
Vol 8 (1) ◽  
pp. 33-41
Author(s):  
Dr. S. Sarika ◽  

Phishing is a malicious and deliberate act of sending counterfeit messages or mimicking a webpage. The goal is either to steal sensitive credentials like login information and credit card details or to install malware on a victim’s machine. Browser-based cyber threats have become one of the biggest concerns in networked architectures. The most prolific form of browser attack is tabnabbing which happens in inactive browser tabs. In a tabnabbing attack, a fake page disguises itself as a genuine page to steal data. This paper presents a multi agent based tabnabbing detection technique. The method detects heuristic changes in a webpage when a tabnabbing attack happens and give a warning to the user. Experimental results show that the method performs better when compared with state of the art tabnabbing detection techniques.


2007 ◽  
Vol 40 (15) ◽  
pp. 239-244 ◽  
Author(s):  
Pedro Almeida ◽  
Ricardo Bencatel ◽  
Gil M. Gonçalves ◽  
JoãTo Borges Sousa ◽  
Christoph Ruetz

2003 ◽  
Vol 36 (3) ◽  
pp. 249-254
Author(s):  
Daniel Frey ◽  
Jens Nimis ◽  
Heinz Wörn ◽  
Peter Lockemann

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