Entity

Time filter

Source Type


Paletta M.,National Experimental University of Guayana, Puerto Ordaz | Herrero P.,Technical University of Madrid
Neurocomputing | Year: 2011

This paper is an extension of a previous work presented in International Work Conference on Artificial Neural Network 2009 (IWANN 2009). The paper contains more details and results of the strategy known as Collaborative Distributed Environment by means of an Awareness & Artificial Neural Network strategy (CAwANN). CAwANN is part of the structure of Awareness-based learning Model for distriButed collAborative enviRonment (AMBAR) which is an awareness-based learning model, developed for distributed environments, that allows nodes to accomplish an effective collaboration by means of a multi-agent architecture in which agents are aware of its surroundings by means of a parametrical and flexible use of this information. CAwANN is an ANN-based strategy used to include learning abilities into AMBAR aiming to improve the effectiveness and efficiency of collaboration process by learning three different processes: (1) to collaborate based on levels of awareness; (2) to select a potential candidate to negotiate on saturated conditions; and (3) to decide whether or not a node must change the information that describes its current conditions related with collaboration. Based on the definitions of efficiency and effectiveness presented in this paper and the results obtained from simulated conditions CAwANN has an average efficiency of 100% and an average effectiveness of 86%. © 2011 Elsevier B.V. Source


Paletta M.,National Experimental University of Guayana, Puerto Ordaz | Herrero P.,Technical University of Madrid
Recent Patents on Computer Science | Year: 2010

Distributed systems have become increasingly common because they offer significant computational power and are cost-effective and scalable. Moreover, collaboration between users that are part of these distributed systems improves efficiency and effectiveness for a better utilization of this computational power. Due to this, new specific collaboration models for distributive systems are needed for enabling effective collaboration between users of these dynamic environments. This paper presents AMBAR, an awareness-based learning model for distributed environment with some patent literature related with learning and collaboration systems. AMBAR allows nodes to accomplish an effective collaboration by means of a multi-agent architecture in which agents are aware of its surroundings by means of a parametrical and flexible use of this information. This approach makes use of heuristic strategies to improve effectiveness and efficiency of collaboration in these environments. Results presented in this paper prove this assertion. © 2010 Bentham Science Publishers Ltd. Source


Paletta M.,National Experimental University of Guayana, Puerto Ordaz
Recent Patents on Computer Science | Year: 2012

Self-organization of a collection of agents is a crucial concern in multi-agent systems that operate in open and dynamic environments. Most self-organizing mechanisms proposed in previous works tackle organization structure issues at design time. However, in open environments, agents must be able to adapt by achieving the most appropriate organization according to the environment conditions and their unpredictable changes. The main goal of this paper is to propose an alternative to implement and manage autonomous self-organizing systems. This proposal focuses on the well known Scout Movement or Scouting which has been a very successful youth movement in which the self-organization of its members can be observed. The results presented in this paper show that the Scouting principles can be used to automatize a self-adaption mechanism capable to reorganize a MAS along with the discussion of few patents associated with Self Organizing Multi-Agent Systems. © 2012 Bentham Science Publishers. Source


Ortiz A.G.,National Experimental University of Guayana, Puerto Ordaz | Fernandez J.C.,University of the East Venezuela
Complex Analysis and Operator Theory | Year: 2010

We give characterizations of (forward and reverse) Carleson conditions in terms of inequalities that involve functions in Bergman-Orlicz spaces. © Birkhäuser Verlag Basel/Switzerland 2009. Source


Paletta M.,National Experimental University of Guayana, Puerto Ordaz | Herrero P.,Technical University of Madrid
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2010

Cloud computing addresses the use of scalable and often virtualized resources. It is based on service-level agreements that provide external users with services under request. Cloud computing is still evolving. New specific collaboration models among service providers are needed for enabling effective service collaboration, allowing the process of serving consumers to be more efficient. This paper presents AMBAR-C, an adaptation of AMBAR (Awareness-based learning Model for distriButive collAborative enviRonment) designed to allow nodes in a distributed environment to accomplish an effective collaboration among service providers in a "cloud" by means of a multi-agent architecture in which agents are aware of its surroundings throughout a parametrical and flexible use of this information. As occurs in AMBAR, AMBAR-C makes use of heuristic strategies to improve effectiveness and efficiency in collaborations of these particular environments. © 2010 Springer-Verlag Berlin Heidelberg. Source

Discover hidden collaborations