Agency

"There is agency in all we do: thinking, doing, or making. We invent a tune, play, or use it to celebrate an occasion. Or we make a conceptual leap and ask more abstract questions about the conditions for agency. They include autonomy and self-appraisal, each contested by arguments immersing us in circumstances we don’t control. But can it be true we that have no personal responsibility for all we think and do? Agency: Moral Identity and Free Will proposes that deliberation, choice, and free will emerged within the evolutionary history of animals with a physical advantage: organisms having cell walls or exoskeletons had an internal space within which to protect themselves from external threats or encounters. This defense was both structural and active: such organisms could ignore intrusions or inhibit risky behavior. Their capacities evolved with time: inhibition became the power to deliberate and choose the manner of one’s responses. Hence the ability of humans and some other animals to determine their reactions to problematic situations or to information that alters values and choices. This is free will as a material power, not as the conclusion to a conceptual argument. Having it makes us morally responsible for much we do. It prefigures moral identity. Closely argued but plainly written, Agency: Moral Identity and Free Will speaks for autonomy and responsibility when both are eclipsed by ideas that embed us in history or tradition. Our sense of moral choice and freedom is accurate. We are not altogether the creatures of our circumstances.

Agency

"There is agency in all we do: thinking, doing, or making. We invent a tune, play, or use it to celebrate an occasion. Or we make a conceptual leap and ask more abstract questions about the conditions for agency. They include autonomy and self-appraisal, each contested by arguments immersing us in circumstances we don’t control. But can it be true we that have no personal responsibility for all we think and do? Agency: Moral Identity and Free Will proposes that deliberation, choice, and free will emerged within the evolutionary history of animals with a physical advantage: organisms having cell walls or exoskeletons had an internal space within which to protect themselves from external threats or encounters. This defense was both structural and active: such organisms could ignore intrusions or inhibit risky behavior. Their capacities evolved with time: inhibition became the power to deliberate and choose the manner of one’s responses. Hence the ability of humans and some other animals to determine their reactions to problematic situations or to information that alters values and choices. This is free will as a material power, not as the conclusion to a conceptual argument. Having it makes us morally responsible for much we do. It prefigures moral identity. Closely argued but plainly written, Agency: Moral Identity and Free Will speaks for autonomy and responsibility when both are eclipsed by ideas that embed us in history or tradition. Our sense of moral choice and freedom is accurate. We are not altogether the creatures of our circumstances.

A New Collaborative Multi-Agent Monte Carlo Simulation Model for Spatial Correlations Air Pollutions Global Risk Assessment

Air pollution risk assessment is complex due to dynamic data change and pollution source distribution. Air quality index concentration level prediction is an effective method of protecting public health by providing the means for an early warning against harmful air pollution. However, air quality index-based prediction is challenging as it depends on several complicated factors resulting from dynamic nonlinear air quality time-series data, such as dynamic weather patterns and the verity and distribution of air pollution sources. Subsequently, some minimal models have incorporated time series-based predicting air quality index at a global level (for a particular city or various cities). These models require interaction between the multiple air pollution sensing sources and additional parameters like wind direction and wind speed. The existing methods in predicting air quality index cannot handle short-term dependencies. These methods also mostly neglect the spatial correlations between the different parameters. Moreover, the assumption of selecting the most recent part of the air quality time series is not valid considering that pollution is cyclic behavior according to various events and conditions due to the high possibility of falling into the trap of local minimum and poor generalization. Therefore, this pa-per proposes a new air pollution global risk assessment (APGRA) model for predicting spatial correlations air quality index risk assessment to address these issues. The APGRA model incorporates autoregressive integrated moving average (ARIMA), Monte-Carlo simulation, and collaborative multi-agent system, and prediction algorithm for reducing air quality index prediction error and processing time. The proposed APGRA model is evaluated based on Malaysia and China real-world air quality datasets. The proposed APGRA model improves the average root mean squared error by 41%, mean and absolute error by 47.10% compared with the conventional ARIMA and ANFIS models

Proceedings of the NASA Conference on Space Telerobotics, volume 1

The theme of the Conference was man-machine collaboration in space. Topics addressed include: redundant manipulators; man-machine systems; telerobot architecture; remote sensing and planning; navigation; neural networks; fundamental AI research; and reasoning under uncertainty

Multi-Agent Systems

This Special Issue ""Multi-Agent Systems"" gathers original research articles reporting results on the steadily growing area of agent-oriented computing and multi-agent systems technologies. After more than 20 years of academic research on multi-agent systems (MASs), in fact, agent-oriented models and technologies have been promoted as the most suitable candidates for the design and development of distributed and intelligent applications in complex and dynamic environments. With respect to both their quality and range, the papers in this Special Issue already represent a meaningful sample of the most recent advancements in the field of agent-oriented models and technologies. In particular, the 17 contributions cover agent-based modeling and simulation, situated multi-agent systems, socio-technical multi-agent systems, and semantic technologies applied to multi-agent systems. In fact, it is surprising to witness how such a limited portion of MAS research already highlights the most relevant usage of agent-based models and technologies, as well as their most appreciated characteristics. We are thus confident that the readers of Applied Sciences will be able to appreciate the growing role that MASs will play in the design and development of the next generation of complex intelligent systems. This Special Issue has been converted into a yearly series, for which a new call for papers is already available at the Applied Sciences journal’s website: https://www.mdpi.com/journal/applsci/special_issues/Multi-Agent_Systems_2019

Essays on ‘disorganization’ in contemporary organizations.

Twentieth century management thought consisted of assuming ‘order’ as a necessary condition for increasing employee productivity. However, from mid- century a number of studies started to indicate that assuming ‘order’ as a necessary condition for productivity is misguided. More recent studies have shown that ‘order’ may be largely detrimental to productivity. These findings have prompted researchers to look deeper into organizational ‘order’ and ‘disorder’. In this work the term disorder now has been replaced with the broader concept of ‘disorganization’. In its various incarnations (i.e. chaos, disorder, mess, entropy), disorganization has been explored in many biological, cultural, social, legal, physical, information and political systems. Disorganization is universally encountered within all organizations but has received relatively little attention from academics and practitioners in the management field. This is due to ambiguities in the concept, strongly held management beliefs (i.e. assuming order is good), and a general negative perception of disorganization. These issues have led to major shortcomings and confusion among academics in advancing research directed towards understanding disorganization. This research attempts to address these issues in depth and explores the usefulness of disorganization in contemporary organizations. The research herein is a systematic study of disorganization in order to achieve three specific objectives: a) Provide a theoretical clarification of disorganization and its benefits, b) Develop an understanding of the causes, characteristics, and effects of disorganization, c) Understand the implications of disorganization for academic research and management practice. In order to achieve these objectives novel techniques for theory building and experimental simulation design have been utilized. The research relies on agent-based simulations and conventional data analysis techniques. This work explores disorganization operating within organizations and how it affects its individuals and teams and falls under organizational behavior and presents three primary contributions in terms of theory, method and empirical evidence

Virtual Reality Games for Motor Rehabilitation

This paper presents a fuzzy logic based method to track user satisfaction without the need for devices to monitor users physiological conditions. User satisfaction is the key to any product’s acceptance; computer applications and video games provide a unique opportunity to provide a tailored environment for each user to better suit their needs. We have implemented a non-adaptive fuzzy logic model of emotion, based on the emotional component of the Fuzzy Logic Adaptive Model of Emotion (FLAME) proposed by El-Nasr, to estimate player emotion in UnrealTournament 2004. In this paper we describe the implementation of this system and present the results of one of several play tests. Our research contradicts the current literature that suggests physiological measurements are needed. We show that it is possible to use a software only method to estimate user emotion

Urban Living Lab for Local Regeneration

This open access book provides an integrated overview of the challenges and resources of large-scale social housing estates in Europe and outlines possible interdisciplinary approaches and tools to promote their regeneration. It especially focuses on the tool of urban living labs, as promising in promoting new and more effective local governance and in including the different actors into the planning process. The book combines theory and practice, since it is the result of action-research conducted in different social housing estates all over Europe. Building on the results of the SoHoLab project (2017–2020), the book benefits from a multidisciplinary perspective, since the researchers involved belong to the fields of anthropology, urban planning, architecture, urban sociology. The project combined theoretical reflections with the installation and/or the consolidation of Urban Living Labs, run by universities, in large social housing estates in three European cities: Brussels, Milan and Paris