Agenti (autonomi) normativi in società artificiali: uno studio simulativo sull'emergenza di artefatti sociali

Lo studio degli artefatti sociali, in particolare delle norme sociali, ha suscitato e suscita l'interesse di numerose e diverse comunità scientifiche. Tradizionalmente, filosofi, sociologi, giuristi e psicologi si sono interessati allo studio dell'origine delle norme e ai meccanismi socio-psicologici coinvolti nella adozione o trasgressione delle stesse; tuttavia, nell'ultimo ventennio questo interesse si è notevolmente allargato, influenzando la ricerca di settori scientifici più “duri” quali l'intelligenza artificiale, lo studio dei sistemi multi-agente, la teoria dei giochi e la robotica. Ognuno di questi ambiti disciplinari ha applicato il proprio approccio allo studio delle norme tentando di gettare luce sui meccanismi che sottendono: i) al comportamento coordinato che può emergere dall'adozione collettiva di una norma (o convenzione), ii) al processamento delle rappresentazioni mentali relative a regole sociali (quali le credenze normative), iii) all'influenza che il possesso o meno di norme può avere sul comportamento degli individui. Ciascuno di questi ambiti ha iniziato più o meno recentemente ad occuparsi dello studio delle norme; di conseguenza, alcuni di essi si trovano in una fase più matura, altri sono ancora in una fase iniziale (come senza dubbio la robotica, che da questo punto di vista rappresenta l'ultima arrivata). In questo lavoro, cercherò di mostrare come possa essere utile affrontare lo studio delle norme (di come esse si affermano socialmente, di come esse si insediano nella mente degli agenti, di come esse incidono sui comportamenti), utilizzando un approccio che per certi versi potremmo definire ibrido. Cercherò di conciliare due tradizioni contrapposte, provando a trarre il meglio da entrambe: la tradizione dell'approccio legato alla game theory, da un lato, e quello legato ai sistemi multi-agente, dall'altro.The study of social artefacts, including social norms, has aroused and attracted the attention of many different scientific communities. Traditionally, philosophers, sociologists, lawyers and psychologists are interested in studying the origin of norms and socio-psychological mechanisms involved in adoption or transgression of norms, but the last two decades this interest has expanded considerably, influencing research in scientific fields more "hard" as artificial intelligence, the study of multi-agent systems, game theory and robotics. Each of these disciplines have applied their approach to the study of norms attempting to clarify mechanisms underlying: i) coordinated behavior emerging from collective adoption of norm (or convention), ii) processing of mental representations relating to social rules (such as normative beliefs), iii) influence which the possession of norms may have on the individual behavior. Each of these fields began to study social norms more or less recently; some of them are in a more mature phase, others are still at an early stage (as robotics, the more young from this point of view). In this thesis, I will try to show how it can help tackle the study of norms (as they socially establish, how they install themselves in the minds of agents, how they affect behaviors), using an approach that in some ways we could define hybrid. I will try to reconcile two opposing traditions, trying to benefit from the best of both worlds: the traditional approach linked to game theory, on the one hand, and those related to multi-agent systems, on the other

What Do Agent-Based and Equation-Based Modelling Tell Us About Social Conventions: The Clash Between ABM and EBM in a Congestion Game Framework

In this work simulation-based and analytical results on the emergence steady states in traffic-like interactions are presented and discussed. The objective of the paper is twofold: i) investigating the role of social conventions in coordination problem situations, and more specifically in congestion games; ii) comparing simulation-based and analytical results to figure out what these methodologies can tell us on the subject matter. Our main issue is that Agent-Based Modelling (ABM) and the Equation-Based Modelling (EBM) are not alternative, but in some circumstances complementary, and suggest some features distinguishing these two ways of modeling that go beyond the practical considerations provided by Parunak H.V.D., Robert Savit and Rick L. Riolo. Our model is based on the interaction of strategies of heterogeneous agents who have to cross a junction. In each junction there are only four inputs, each of which is passable only in the direction of the intersection and can be occupied only by an agent one at a time. The results generated by ABM simulations provide structured data for developing the analytical model through which generalizing the simulation results and make predictions. ABM simulations are artifacts that generate empirical data on the basis of the variables, properties, local rules and critical factors the modeler decides to implement into the model; in this way simulations allow generating controlled data, useful to test the theory and reduce the complexity, while EBM allows to close them, making thus possible to falsify them.Agent-Based Modelling, Equation-Based Modelling, Congestion Game, Model of Social Phenomena

Molecular Imaging and Theragnostics of Thyroid Cancers

SIMPLE SUMMARY: According to the American Cancer Society, approximately 53,000 new cases of thyroid cancer were diagnosed and more than 2200 people died from the disease in 2020. New developments in molecular imaging are significantly improving thyroid cancer diagnostics and therapy. Continuous research in molecular imaging techniques additionally contributes to an understanding of a variety of diseases and enables more efficient care of thyroid cancer patients. Molecular imaging-based personalized therapy has been a fascinating concept for individualized therapeutic strategy, which is able to attain the highest efficacy and reduce adverse effects in certain patients. Theragnostics, which integrates diagnostic testing to detect molecular targets for particular therapeutic modalities, is one of the key technologies that contributes to the success of personalized medicine. This review details the inception of molecular imaging and theragnostic applications for thyroid cancer management. ABSTRACT: Molecular imaging plays an important role in the evaluation and management of different thyroid cancer histotypes. The existing risk stratification models can be refined, by incorporation of tumor-specific molecular markers that have theranostic power, to optimize patient-specific (individualized) treatment decisions. Molecular imaging with varying radioisotopes of iodine (i.e., (131)I, (123)I, (124)I) is an indispensable component of dynamic and theragnostic risk stratification of differentiated carcinoma (DTC) while [(18)F]F-fluorodeoxyglucose ([(18)F]FDG) positron emission tomography/computed tomography (PET/CT) helps in addressing disease aggressiveness, detects distant metastases, and risk-stratifies patients with radioiodine-refractory DTC, poorly differentiated and anaplastic thyroid cancers. For medullary thyroid cancer (MTC), a neuroendocrine tumor derived from thyroid C-cells, [(18)F]F-dihydroxyphenylalanine (6-[(18)F]FDOPA) PET/CT and/or [(18)F]FDG PET/CT can be used dependent on serum markers levels and kinetics. In addition to radioiodine therapy for DTC, some theragnostic approaches are promising for metastatic MTC as well. Moreover, new redifferentiation strategies are now available to restore uptake in radioiodine-refractory DTC while new theragnostic approaches showed promising preliminary results for advanced and aggressive forms of follicular-cell derived thyroid cancers (i.e., peptide receptor radiotherapy). In order to help clinicians put the role of molecular imaging into perspective, the appropriate role and emerging opportunities for molecular imaging and theragnostics in thyroid cancer are discussed in our present review

Fiat Auto: Industrial Relations Lost in Globalisation

In the actual context of globalization, carmakers face a highly competitive market. The pace of technological innovation, the increase in international competition, the saturation of markets and the shortening of product lifespan are but some of the factors requiring a new organization of production. In order to face these radical changes, carmakers are implementing new strategies, not only by embracing the concept of globalization, but also by promoting changes in labour management practices, work organization and industrial relations. The aim of this paper is to analyze the impact of Fiat's new managerial strategies in response to increased global competition on the situation of the industrial relations, on the role of the Unions and on the condition of workers. These strategies include an intensification of work, shift and wage flexibility, plus a severe limitations of workers' rights (including the right to strike). On the one hand, such a strategy was presented and justified to the workers and the public as an objective necessity of global economy, and was even submitted to a referendum; on the other, the process was conducted unilaterally, under the recurring threat of transferring production abroad if the workers and their Unions refused to accept the new method. This brought to a split of the Unions and dialogue was maintained only with collaborative organisations, causing the discrimination of the other Unions and a situation of great dissatisfaction amongst all the workers. Through the words of workers and Union activists, the research showed evidence of the failure of claims that new management strategy can ensure both productivity and a new form of workplace democracy in the post-fordist factory. Despite new labour-saving technologies, lean production organisation and the adoption of new metric systems (such as Ergo-UAS), car industry would need, more than in the past, the involvement and active participation of Unions and workers. On the contrary, the paper points out how Fiat's actual form of production organization generates new tensions and increases employee's discontent, likely to ignite industrial conflict

Learning from generations of sustainability concepts

Background: For decades, scientists have attempted to provide a sustainable development framework that integrates goals of environmental protection and human development. The Planetary Boundaries concept (PBc)—a framework to guide sustainable development—juxtaposes a 'safe operating space for humanity' and 'planetary boundaries', to achieve a goal that decades of research have yet to meet. We here investigate if PBc is sufficiently different to previous sustainability concepts to have the intended impact, and map how future sustainability concept developments might make a difference. Design: We build a genealogy of the research that is cited in and informs PBc. We analyze this genealogy with the support of two seminal and a new consumer-resource models, that provide simple and analytically tractable analogies to human-environment relationships. These models bring together environmental limits, minimum requirements for populations and relationships between resource-limited and waste-limited environments. Results: PBc is based on coherent knowledge about sustainability that has been in place in scientific and policy contexts since the 1980s. PBc represents the ultimate framing of limits to the use of the environment, as limits not to single resources, but to Holocene-like Earth system dynamics. Though seldom emphasized, the crux of the limits to sustainable environmental dynamics lies in waste (mis-)management, which sets where boundary values might be. Minimum requirements for populations are under-defined: it is the distribution of resources, opportunities and waste that shape what is a safe space and for whom. Discussion: We suggest that PBc is not different or innovative enough to break 'Cassandra's dilemma' and ensure scientific research effectively guides humanity towards sustainable development. For this, key issues of equality must be addressed, un-sustainability must be framed as a problem of today, rather than projected into the future, and scientific foundations of frameworks such as PBc must be broadened and diversified

I carcinomi tiroidei differenziati

Gli Autori, dopo un excursus sulla patologia tiroidea neoplastica, si soffermano sulla epidemiologia, l’etiologia e la diagnostica dei carcinomi tiroidei ben differenziati. Riportano quindi la loro casistica e la pluriennale esperienza nel trattamento di questi pazienti affetti da una patologia generalmente considerata a bassa malignità. Essi ritengono che oggi il trattamento di scelta sia costituito dalla tiroidectomia totale con linfectomia del compartimento centrale ed eventuale associazione di radioterapia metabolic

Prediction of 2 years-survival in patients with stage I and II non-small cell lung cancer utilizing (18)F-FDG PET/CT SUV quantification.

BACKGROUND: The purpose of the study was to evaluate the correlation between the maximum standardized uptake value (SUVmax), size of primary lung lesion, disease-free survival (DFS) and overall survival (OS) in patients with stage I and II non-small cell lung cancer (NSCLC) in 2 years follow-up. PATIENTS AND METHODS. Forty-nine patients with stage I–II NSCLC were included in this study. Pre-surgical 2-deoxy-2-[18F]fluoro-D-glucose positron-emission tomography ((18)F-FDG PET/CT) study was performed for all patients. The relationship between SUVmax, tumour size and clinical outcome was measured. The cut-off value for SUVmax and tumour size with the best prognostic significance, probability of DFS and the correlation between SUVmax and the response to therapy were calculated. RESULTS: There was a statistically significant correlation between SUVmax and DFS (p = 0.029). The optimal cut-offs were 9.00 for SUVmax (p = 0.0013) and 30mm for tumour size (p = 0.0028). Patients with SUVmax > 9 and primary lesion size > 30 mm had an expected 2years-DFS of 37.5%, while this rose to 90% if the tumour was <30 mm and/or SUVmax was <9. CONCLUSIONS: In stage I-II, SUVmax and tumour size might be helpful to identify the subgroup of patients with high chance for recurrence

Modulation of cognitive performance and mood by aromas of peppermint and ylang-ylang

This study provides further evidence for the impact of the aromas of plant essential oils on aspects of cognition and mood in healthy participants. One hundred and forty-four volunteers were randomly assigned to conditions of ylang-ylang aroma, peppermint aroma, or no aroma control. Cognitive performance was assessed using the Cognitive Drug Research computerized assessment battery, with mood scales completed before and after cognitive testing. The analysis of the data revealed significant differences between conditions on a number of the factors underpinning the tests that constitute the battery. Peppermint was found to enhance memory whereas ylang-ylang impaired it, and lengthened processing speed. In terms of subjective mood peppermint increased alertness and ylang-ylang decreased it, but significantly increased calmness. These results provide support for the contention that the aromas of essential oils can produce significant and idiosyncratic effects on both subjective and objective assessments of aspects of human behavior. They are discussed with reference to possible pharmacological and psychological modes of influence

Cognitive facilitation following intentional odor exposure

This paper reviews evidence that, in addition to incidental olfactory pollutants, intentional odor delivery can impact cognitive operations both positively and negatively. Evidence for cognitive facilitation/interference is reviewed alongside four potential explanations for odor-induced effects. It is concluded that the pharmacological properties of odors can induce changes in cognition. However, these effects can be accentuated/attenuated by the shift in mood following odor exposure, expectancy of cognitive effects, and cues to behavior via the contextual association with the odor. It is proposed that greater consideration is required in the intentional utilization of odors within both industrial and private locations, since differential effects are observed for odors with positive hedonic qualities