Negotiation-Style Recommender Based on Computational Ecology in Open Negotiation Environments.

The system described herein represents the first example of a recommender system in digital ecosystems where agents negotiate services on behalf of small companies. The small companies compete not only with price or quality, but with a wider service-by-service composition by subcontracting with other companies. The final result of these offerings depends on negotiations at the scale of millions of small companies. This scale requires new platforms for supporting digital business ecosystems, as well as related services like open-id, trust management, monitors and recommenders. This is done in the Open Negotiation Environment (ONE), which is an open-source platform that allows agents, on behalf of small companies, to negotiate and use the ecosystem services, and enables the development of new agent technologies. The methods and tools of cyber engineering are necessary to build up Open Negotiation Environments that are stable, a basic condition for predictable business and reliable business environments. Aiming to build stable digital business ecosystems by means of improved collective intelligence, we introduce a model of negotiation style dynamics from the point of view of computational ecology. This model inspires an ecosystem monitor as well as a novel negotiation style recommender. The ecosystem monitor provides hints to the negotiation style recommender to achieve greater stability of an open negotiation environment in a digital business ecosystem. The greater stability provides the small companies with higher predictability, and therefore better business results. The negotiation style recommender is implemented with a simulated annealing algorithm at a constant temperature, and its impact is shown by applying it to a real case of an open negotiation environment populated by Italian companies.Fil: De La Rosa, Josep Lluis. Universidad de Girona; EspañaFil: Hormazábal, Nicolás. Universidad de Girona; EspañaFil: Aciar, Silvana Vanesa. Universidad Nacional de San Juan; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; ArgentinaFil: Lopardo, Gabriel Alejandro. Universidad de Girona; EspañaFil: Trias, Albert. Universidad de Girona; EspañaFil: Montaner, Miquel. No especifíca

Argentine Intersociety Consensus on Urinary Infection 2018-2019

La Sociedad Argentina de Infectología y otras sociedades científicas han actualizado estas recomendaciones utilizando, además de información internacional, la de un estudio multicéntrico prospectivo sobre infecciones del tracto urinario del adulto realizado en Argentina durante 2016-2017. La bacteriuria asintomática debe ser tratada solo en embarazadas, a quienes también se las debe investigar sistemáticamente; los antibióticos de elección son nitrofurantoína, amoxicilina, amoxicilina-clavulánico, cefalexina y trimetoprimasulfametoxazol. Ante procedimientos que impliquen lesión con sangrado del tracto urinario se recomienda solicitar urocultivo para pesquisar bacteriuria asintomática, y, si resultara positivo, administrar antimicrobianos según sensibilidad desde inmediatamente antes hasta 24 horas luego de la intervención. En mujeres, la cistitis puede ser tratada con nitrofurantoina, cefalexina, o fosfomicina y no se recomienda usar trimetoprima-sulfametoxazol o fluoroquinolonas; en pielonefritis puede emplearse ciprofloxacina, cefixima o cefalexina si el tratamiento es ambulatorio o ceftriaxona, cefazolina o amikacina si es hospitalario. En los hombres, las infecciones del tracto urinario se consideran siempre complicadas. Se recomienda tratamiento con nitrofurantoina o cefalexina por 7 días, o bien monodosis con fosfomicina. Para la pielonefritis en hombres se sugiere ciprofloxacina, ceftriaxona o cefixima si el tratamiento es ambulatorio y ceftriaxona o amikacina si es hospitalario. Se sugiere tratar las prostatitis bacterianas agudas con ceftriaxona o gentamicina. En cuanto a las prostatitis bacterianas crónicas, si bien su tratamiento de elección hasta hace poco fueron las fluoroquinolonas, la creciente resistencia y ciertasdudas sobre la seguridad de estas drogas obligan a considerar el uso de alternativas como fosfomicina.The Argentine Society of Infectious Diseases and other scientific societies have updated these recommendations based on data on urinary tract infections in adults obtained from a prospective multicenter study conducted in Argentina during 2016-2017. Asymptomatic bacteriuria should be treated only in pregnant women, who should also be systematically investigated; the antibiotics of choice are nitrofurantoin, amoxicillin, clavulanic/amoxicillin, cephalexin and trimethoprim-sulfamethoxazole. In procedures involving injury to the urinary tract with bleeding, it is recommended to request urine culture and, in the presence of bacteriuria, antimicrobial treatment according to sensitivity should be prescribed from immediately before up to 24 hours after the intervention. In women, cystitis can be treated with nitrofurantoin, cephalexin or fosfomycin, while trimethoprim-sulfamethoxazole and fluoroquinolones are not recommended; pyelonephritis can be treated with ciprofloxacin, cefixime or cephalexin in ambulatory women or ceftriaxone, cefazolin or amikacin in those who are hospitalized. In men, urinary tract infections are always considered complicated; nitrofurantoin or cephalexin are recommended for 7 days, alternatively fosfomycin should be given in a single dose. In men, ciprofloxacin, ceftriaxone or cefixime are suggested for pyelonephritis on ambulatory treatment whereas ceftriaxone or amikacin are recommended for hospitalized patients. Acute bacterial prostatitis can be treated with ceftriaxone or gentamicin. Fluoroquinolones were the choice treatment for chronic bacterial prostatitis until recently; they are no longer recommended due to the increasing resistance and recent concerns regarding the safety of these drugs; alternative antibiotics such as fosfomycin are to be considered.Fil: Nemirovsky, Corina. Sociedad Argentina de Infectologia; ArgentinaFil: Lopez Furst, María José. Sociedad Argentina de Infectologia; ArgentinaFil: Pryluka, Daniel. Sociedad Argentina de Infectologia; ArgentinaFil: de Vedia, Lautaro. Sociedad Argentina de Infectologia; ArgentinaFil: Scapellato, Pablo. Sociedad Argentina de Infectologia; ArgentinaFil: Colque, Angel. Sociedad Argentina de Infectologia; ArgentinaFil: Barcelona, Laura. Sociedad Argentina de Infectologia; ArgentinaFil: Desse, Javier. Sociedad Argentina de Infectologia; ArgentinaFil: Caradont, Matías. Sociedad Argentina de Urología; ArgentinaFil: Varcasia, Daniel. Sociedad Argentina de Urología; ArgentinaFil: Ipohorski,Gabriel. Federación Argentina de Urología; ArgentinaFil: Votta, Roberto. Federación Argentina de Sociedades de Ginecología y Obstetricia; ArgentinaFil: Zylberman, Marcelo. Sociedad Argentina de Medicina; ArgentinaFil: Romani, Adriana de Fátima. Sociedad Argentina de Medicina; ArgentinaFil: Valdez, Pascual. Sociedad Argentina de Medicina; ArgentinaFil: Penini, Magdalena. Sociedad Argentina de Bacteriología, Micología y Parasitología Clínica; ArgentinaFil: De Paulis, Adriana. Sociedad Argentina de Bacteriología, Micología y Parasitología Clínica; ArgentinaFil: Lucero, Celeste. Dirección Nacional de Instituto de Investigación.Administración Nacional de Laboratorios e Institutos de Salud "Dr. Carlos G. Malbrán"; ArgentinaFil: Sandor, Andres. Sociedad Argentina de Infectología; ArgentinaFil: Contreras, Rosita. Sociedad Argentina de Infectología; ArgentinaFil: Nannini, Esteban. Sociedad Argentina de Infectología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Inmunología Clinica y Experimental de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Instituto de Inmunología Clinica y Experimental de Rosario; ArgentinaFil: Gañete, Marcelo. Sociedad Argentina de Infectología; ArgentinaFil: Ralli, Hector. Sociedad Argentina de Infectología; ArgentinaFil: Lopardo, Gustavo. Sociedad Argentina de Infectología; ArgentinaFil: Mykietiuk, Analia. Sociedad Argentina de Infectología; ArgentinaFil: Aronson, Sandra. Sociedad Argentina de Infectología; ArgentinaFil: Fernández Laus, Adriana. Sociedad Argentina de Infectología; ArgentinaFil: Fernández Garces, Alejandro. Sociedad Argentina de Infectología; ArgentinaFil: Rodríguez, Claudia. Sociedad Argentina de Infectología; ArgentinaFil: Chattas, Ana. Sociedad Argentina de Infectología; ArgentinaFil: Farina, Javier. Sociedad Argentina de Infectología; ArgentinaFil: Clara, Liliana. Sociedad Argentina de Infectología; ArgentinaFil: Nuccetelli, Yanina. Sociedad Argentina de Infectología; ArgentinaFil: Amalfa, Flavia. Sociedad Argentina de Infectología; Argentin

Embodied Autonomy in Digital Ecosystems: From Bio-Inspired Agents to Cognitive Systems

This paper proposes to promote autonomy in digital ecosystems so that it provides agents with information to improve the behavior of the digital ecosystem in terms of stability. This work proposes that, in digital ecosystems, autonomous agents can provide fundamental services and information. The final goal is to run the ecosystem, generate novel conditions and let agents exploit them. A set of evaluation measures must be defined as well. We want to provide an outline of some global indicators, such as heterogeneity and diversity, and establish relationships between agent behavior and these global indicators to fully understand interactions between agents, and to understand the dependence and autonomy relations that emerge between the interacting agents. Individual variations, interaction dependencies, and environmental factors are determinants of autonomy that would be considered. The paper concludes with a discussion of situations when autonomy is a mileston

Embodied Autonomy in Digital Ecosystems: From Bio-Inspired Agents to Cognitive Systems

This paper proposes to promote autonomy in digital ecosystems so that it provides agents with information to improve the behavior of the digital ecosystem in terms of stability. This work proposes that, in digital ecosystems, autonomous agents can provide fundamental services and information. The final goal is to run the ecosystem, generate novel conditions and let agents exploit them. A set of evaluation measures must be defined as well. We want to provide an outline of some global indicators, such as heterogeneity and diversity, and establish relationships between agent behavior and these global indicators to fully understand interactions between agents, and to understand the dependence and autonomy relations that emerge between the interacting agents. Individual variations, interaction dependencies, and environmental factors are determinants of autonomy that would be considered. The paper concludes with a discussion of situations when autonomy is a mileston

Bio-inspired Mechanisms for Artificial Self-organised Systems

Self-organization is a growing interdisciplinary field of research about a phenomenon that can be observed in the Universe, in Nature and in social contexts. Research on self-organization tries to describe and explain forms, complex patterns and behaviours that arise from a collection of entities without an external organizer. As researchers in artificial systems, our aim is not to mimic self-organizing phenomena arising in Nature, but to understand and to control underlying mechanisms allowing desired emergence of forms, complex patterns and behaviours. Rather than attempting to eliminate such self-organization in artificial systems, we think that this might be deliberately harnessed in order to reach desirable global properties. In this paper we analyze three forms of self-organization: stigmergy, reinforcement mechanisms and cooperation. The amplification phenomena founded in stigmergic process or in reinforcement process are different forms of positive feedbacks that play a major role in building group activity or social organization. Cooperation is a functional form for self-organization because of its ability to guide local behaviours in order to obtain a relevant collective one. For each forms of self-organisation, we present a case study to show how we transposed it to some artificial systems and then analyse the strengths and weaknesses of such an approac

A Negotiation Style Recommender Based on Computational Ecology in Open Negotiation Environments

The system described herein represents the first example of a recommender system in digital ecosystems where agents negotiate services on behalf of small companies. The small companies compete not only with price or quality, but with a wider service-by-service composition by subcontracting with other companies. The final result of these offerings depends on negotiations at the scale of millions of small companies. This scale requires new platforms for supporting digital business ecosystems, as well as related services like open-id, trust management, monitors and recommenders. This is done in the Open Negotiation Environment (ONE), which is an open-source platform that allows agents, on behalf of small companies, to negotiate and use the ecosystem services, and enables the development of new agent technologies. The methods and tools of cyber engineering are necessary to build up Open Negotiation Environments that are stable, a basic condition for predictable business and reliable business environments. Aiming to build stable digital business ecosystems by means of improved collective intelligence, we introduce a model of negotiation style dynamics from the point of view of computational ecology. This model inspires an ecosystem monitor as well as a novel negotiation style recommender. The ecosystem monitor provides hints to the negotiation style recommender to achieve greater stability of an open negotiation environment in a digital business ecosystem. The greater stability provides the small companies with higher predictability, and therefore better business results. The negotiation style recommender is implemented with a simulated annealing algorithm at a constant temperature, and its impact is shown by applying it to a real case of an open negotiation environment populated by Italian companie