Abstract In an Industry 4.0 environment, the data generated by sensors networks requires
machine learning and data analysis techniques. Thus, organizations face both new …

In this paper we present an agent-based application of a wireless tourist guide that
combines the Beliefs-Desires-Intentions approach with learning capabilities of Case Base …

This article shows how autonomous agents may be constructed with the help of case‐based
reasoning (CBR) systems. The advantages and disadvantages of deliberative agents are …

This paper proposes a novel case-based reasoning (CBR) recommender system for
intelligent energy management in buildings. The proposed approach recommends the …

Technological evolution of the Internet world is fast and constant. Successful systems should
have the capacity to adapt to it and should be provided with mechanisms that allow them to …

The paper presents an agent-based engineering system developed for mobile devices. The
proposed system has been used for constructing a wireless tourist guide application that …

Applications for mobile devices have some restrictions because of the limited capabilities
and heterogeneity of these devices. However, their communication capabilities allow the …

This research aims to create an investment recommendation system based on the extraction
of buy/sell signals from the results of technical analysis and prediction. In this case it focuses …

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 …

This work presents a system for automatically evaluating the interaction that exists between
the atmosphere and the ocean's surface. Monitoring and evaluating the ocean's carbon …