Much effort has been dedicated to provide a general model of agents working in complex environments. This research focuses on the high level cognition used in determining the behavior of the agent.
The language of the Situation Calculus represents a…

The design of intelligent agents is greatly influenced by the many different models that exist to represent knowledge. It is essential that such agents have computationally adequate mechanisms to manage its knowledge, which more often than not is incomplete and/or…

The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML applications have been developed, such as datamining programs, information-filtering systems, etc. Although ML…

Tardiness related objectives are of utmost importance in production systems when client satisfaction is a main goal of a company. These objectives measure the system response to the client requirements and rate manager´s performance In scheduling problems with diverse single…

A multiagent system (MAS) is made up of multiple interacting autonomous agents. It can be viewed as a society in which each agent performs its activity, cooperating to achieve common goals, or competing for them. Thus, every agent has the…

Modeling is one of the most crucial activities during all the phases in any software development life cycle. Typically, system development is a very complex task, and working with models helps to handle this complexity in an organized way, allowing…

There are different approaches to the temporal study of time evolving systems. This paper reviews previous works related to time series and it evaluates three approaches focused to the comparison of these type of series. Two approaches are based on…

SweetDeal is a rule-based approach to representation of business contracts that enables software agents to create, evaluate, negotiate, and execute contracts with substantial automation and modularity. It builds upon the situated courteous logic programs knowledge representation in RuleML, the emerging…

The knowledge economy requires a different contribution from human capital (i.e. knowledge workers). Knowledge workers are challenge seekers, have high enthusiasm for learning and prefer freedom and flexibility, so it would be wise to suggest that knowledge management should consider…

La expansión de la industria camaronícola depende de un adecuado conocimiento del proceso de reproducción que permita desarrollar programas de domesticación. El potencial reproductivo de los camarones domesticados al ser transferidos a condiciones de maduración depende, en buena parte, de…