Behavioral design to model a reactive decision of an expert in geothermal wells

Laureano-Cruces, Ana Lilia; Espinosa-Paredes, Gilberto

doi:10.1016/j.ijar.2004.08.002

Cited by 5 publications

(9 citation statements)

References 18 publications

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“…No matter if a fault occurs, the system get on working because its self-reconfiguration. Like we are using a multi-agent architecture we can add more parameters to be perceived from the environment (thought the autonomous controller-reactive agent), and more agents to execute specific actions [15] [17] [18] [22]. One use could be in the cognitive radio (CR) which is a wireless communication in which one element, the transmitter can detect which channels are busy and which are available to sends its information, through intelligent methods, all of this independently of the used technology [10].…”

Section: Resultsmentioning

confidence: 99%

“…These approaches make possible have modules with an emergent behavior. Taking into account the actions of other agents [11] [14]- [16] [18]. In order to design behaviors and achieve the six characteristics of a collaborative system, the controller-reactive agent is designed considering the detailed of the SMART Framework proposed by d'Inverno and Luck [3].…”

Section: Collaborative Systemsmentioning

confidence: 99%

“…The blackboard is used by the autonomous agent in order to handle its autonomy, through the knowledge of the changes in the environment, which in the case under study refers to knowing which controller-reactive agent is using a given communication channel per process. For further clarification, see Figure 2 and [18]. A variant of the models proposed by Corkill [16] is used, where each autonomous agent (planning) has just one source of knowledge and a blackboard (see Figure 2).…”

Section: Basic Implementationmentioning

confidence: 99%

“…Inside the same agent's blackboard there is a table of attributes per process, which shows the minimum and maximum frequency. The blackboard is updated as a result of the communication between agents [15] [16] [18]; in this way each controller-reactive agent finds out the state of the others as well as its own. The attributes of the priorities table are: Process, Port, MinFrq and MaxFrq, Duration.…”

Section: What Will It Perceive?mentioning

confidence: 99%

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Multi-Agent System for Real Time Planning Using Collaborative Agents

Laureano-Cruces¹,

Sánchez-Guerrero²,

Ramírez-Rodríguez³

2014

IJIS

Self Cite

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Autonomous agents are an important area of research in the sense that they are proactive, and include: goal-directed and communication capabilities. Furthermore each goals of the agent are constantly changing in a dynamic environment. Part of the challenge is to automate the process corresponding to each agent in order that they find their own objectives. Agents do not have to work individually, but can work with others and develop a coordinated group of actions. These agents are highly appreciated, when real time problems are involved, meaning that an agent must be able to react within a specific time interval, considering external events. Our work focuses on the design of a multi-agent architecture consisting of autonomous agents capable of acting through a goal-directed with: a) constraints, b) real-time, and c) with incomplete knowledge of the environment. This paper shows a model of collaborative agents architecture that share a common knowledge source, allowing knowledge of the environment; where we analyze it and its changes, choosing the most promising way for achieving the goals of the agent, in order to keep the whole system working, even if a fault occurs.

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Section: Resultsmentioning

confidence: 99%

Section: Collaborative Systemsmentioning

confidence: 99%

Section: Basic Implementationmentioning

confidence: 99%

Section: What Will It Perceive?mentioning

confidence: 99%

See 2 more Smart Citations

Multi-Agent System for Real Time Planning Using Collaborative Agents

Laureano-Cruces¹,

Sánchez-Guerrero²,

Ramírez-Rodríguez³

2014

IJIS

Self Cite

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“…An agent is a computer system that is situated in some environment, and that is capable of autonomous action in this environment in order to meet its design objectives [8]- [10].…”

Section: Agent Technologymentioning

confidence: 99%

A Decision Support System Based on Multi-Agent Technology for Gene Expression Analysis

Marquez¹,

Savage²,

Berúmen³

et al. 2015

IJIS

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The genetic microarrays give to researchers a huge amount of data of many diseases represented by intensities of gene expression. In genomic medicine gene expression analysis is guided to find strategies for prevention and treatment of diseases with high rate of mortality like the different cancers. So, genomic medicine requires the use of complex information technology. The purpose of our paper is to present a multi-agent system developed in order to improve gene expression analysis with the automation of tasks about identification of genes involved in a cancer, and classification of tumors according to molecular biology. Agents that integrate the system, carry out reading files of intensity data of genes from microarrays, pre-processing of this information, and with machine learning methods make groups of genes involved in the process of a disease as well as the classification of samples that could propose new subtypes of tumors difficult to identify based on their morphology. Our results we prove that the multi-agent system requires a minimal intervention of user, and the agents generate knowledge that reduce the time and complexity of the work of prevention and diagnosis, and thus allow a more effective treatment of tumors.

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