Titlebook: International Symposium on Distributed Computing and Artificial Intelligence; Ajith Abraham,Juan M. Corchado,Juan F. Paz Santana Conferenc

Intercept

Static Mutual Approach for Protecting Mobile Agentsolution is focused on the cooperative agents model and the core of this concept is the protected computing approach. Finally, one of the most appealing aspects of this approach is based on its user friendly style for agent based system developers who are not security experts.

意外的成功

完成

colloquial

使迷惑

Agent Simulation to Develop Interactive and User-Centered Conversational Agentsreduces the time needed to fulfill to complete the the dialogs, thereby allowing the conversational agent to tackle new situations and generate new coherent answers for the situations already present in an initial model.

inhibit

COMAS: A Multi-agent System for Performing Consensus Processesaradigm that provides intelligent tools and capacities to tackle the inherent complexity found in this problem. To do so, we focus on the consensus model considered, the multi-agent architecture designed to develop such a system, and the ontology used for reasoning and communication tasks.

VEST

Resource Sharing in Collaborative Environments: Performance Considerations paper, we provide initial results based on a series of experiments aimed at demonstrating the applicability and robustness of resource sharing in hospital work scenarios where, due to its popularity Bluetooth has been adopted by resource sharing middlewares as the main communication channel.

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Angioplasty

Building Biomedical Text Classifiers under Sample Selection Biaseagues. However, mining biomedical texts remains to be a great challenge by the huge volume of scientific databases stored in the public databases and their imbalanced nature, with only a very small number of relevant papers to each user query. Classifying in the presence of data imbalances presents

Creatinine-Test

A Multi-agent Model with Dynamic Leadership for Fault Diagnosis in Chemical Plantsgnosis of those complex systems produce centralized models that are very difficult to maintain. In this article, we introduce a biologically inspired multi-agent model which exploits the concept of leadership; that is, when a fault is detected one agent emerges as leader and coordinates the fault cl