Hybrid multi-agent architecture as a real-time problem-solving model

Abstract

This paper presents a multi-agent architecture that facilitates the development of real-time multi-agent systems based on the SIMBA approach. The approach allows the integration of unbounded deliberative processes with critical real-time tasks. CBP-BDI deliberative agents collaborate with ARTIS agents in order to solve real-time problems efficiently. The proposal has been successfully tested and evaluated in a case study based on the use of mobile robots for mail delivery.

Visualization and Clustering for SNMP Intrusion Detection

“…− Case-based Reasoning (CBR): some of the agents contained in the MAS are known as CBR-BDI agents (Carrascosa et al 2008) because they integrate the BDI (Beliefs, Desires and Intentions) (Bratman 1987) model and the CBR (Case-Based Reasoning) paradigm.…”

AIIDA-SQL: An Adaptive Intelligent Intrusion Detector Agent for detecting SQL Injection attacks

“…Agents are characterized by their autonomy, which gives them the ability to work independently and in real-time environments [12]. The AIIDA-SQL agent presented in this study interacts with other agents within an architecture still under development.…”

MOVIH-IDS: A mobile-visualization hybrid intrusion detection system

“…CBR-BDI agents [12], [19], [57] provide reasoning based on previous experiences as CBR systems use memory to solve new problems. The main idea when working with CBR systems is the concept of case, that can be seen as a past experience described by the 3-tuple <Problem, Solution, Results>.…”

“…Some of the agents contained in this architecture are known as CBR-BDI agents [12] because they integrate the Case-Based Reasoning (CBR) paradigm and the BDI (Believes, Desires and Intentions) model. In the case of MOVIH-IDS, an unsupervised neural model is embedded in such agents (see Section 5.3 for further details) to perform network Intrusion Detection (ID).…”