Emergence In the Loop: Simulating the two way dynamics of norm innovation

In this paper we will present the EMIL project, "EMergence In the Loop: Simulating the two-way dynamics of norm innovation", a three-year project funded by the European Commission (Sixth Framework Programme -Information Society and Technologies) in the framework of the initiative "Simulating Emergent Properties in Complex Systems". The EMIL project intends to contribute to the study of social complex systems by modelling norm innovation as a phenomenon implying interrelationships among multiple levels. It shall endeavour to point out that social dynamics in societies of intelligent agents is necessarily bi-directional, which adds complexity to the emergence processes. The micro-macro link will be modelled and observed in the emergence of properties at the macro-level and their immergence into the micro-level units. The main scientific aim of the EMIL project is to construct a simulator for exploring and experimenting norm-innovation

Physiological ecology of the arctic ground squirrel: Energy metabolism, torpor, and behavioral endocrinology

Thesis (Ph.D.) University of Alaska Fairbanks, 1998I monitored seasonal changes in body condition and dates of immergence into and emergence from hibernation in a natural population of arctic ground squirrels (Sphermophilus parryii kennicottii) living on the North Slope of Alaska. Age and sex differences in changes of body condition and hibernation chronology are attributable to sex differences in energetic costs associated with preparation for reproduction and differences in reproductive status within males. While winters are long and environmental conditions faced by arctic ground squirrels in northern Alaska are extreme, the timing of hibernation did not differ appreciably from patterns observed in Sciurid populations living in temperate latitudes. To determine the environmental conditions faced by S. parryii during hibernation and to investigate the effect of overwinter temperature on change in body condition of the individual, I instrumented 18 burrow sites with temperature-sensitive data loggers to record soil temperature at hibernacula depth. Burrow sites did not differ significantly in soil temperature over years, but significant thermal differences were observed among burrows. Burrows with more shrubby vegetation accumulated deeper snow and had higher overwinter temperatures than did windswept sites. Females hibernated at warmer sites than did males and adults hibernated at warmer sites than juveniles. Repeated measures of overwinter changes in body condition were not significantly correlated with winter soil temperatures for any age or sex class. To determine the energetic cost associated with hibernation under arctic conditions, I measured metabolic rate, respiratory quotient, and body temperature of arctic ground squirrels in steady-state torpor. At ambient temperatures below 0\sp\circC, body temperature remained constant and metabolic rate increased proportional to the gradient between body and ambient temperatures. With increased metabolic rate associated with decreased ambient temperature, animals switched from catabolism of exclusively lipid fuel to mixed fuels. To test the effects of male-male aggressive behavior on circulating testosterone and corticosterone concentrations during the breeding season, I staged encounters between free-living males and sampled them for blood following the interaction. Levels of testosterone and corticosterone significantly increased following the encounter compared to in control animals, and the magnitude of increase significantly correlated with the intensity of the interaction

Multi-level agent-based modeling - A literature survey

During last decade, multi-level agent-based modeling has received significant and dramatically increasing interest. In this article we present a comprehensive and structured review of literature on the subject. We present the main theoretical contributions and application domains of this concept, with an emphasis on social, flow, biological and biomedical models.Comment: v2. Ref 102 added. v3-4 Many refs and text added v5-6 bibliographic statistics updated. v7 Change of the name of the paper to reflect what it became, many refs and text added, bibliographic statistics update

The Agent-Based Modeling Approach through Some Foundational Monographs

L’article analyse quelques monographies fondamentales qui mettent en évidence la pertinence de la simulation multi-agents pour l’analyse sociologique. Ces ouvrages ont été sélectionnés au sein de travaux qui portent sur la coopération, les dynamiques sociales et les normes. Ils montrent l’importance de modéliser les comportements complexes des acteurs et leurs interactions pour comprendre les régularités sociales ainsi que les raisons pour lesquelles la modélisation et l’abstraction sont importantes pour l’analyse sociologique. La modélisation multi-agents peut nous aider à produire des théories des phénomènes sociaux plus cohérentes et vérifiables et nous permet de mieux organiser les théories avant de les tester et en vue de les répliquer. Enfin, dans l’esprit d’une approche collaborative, cet article argumente en faveur du besoin de liens plus étroits entre les approches expérimentales et la sociologie

The Current State of Normative Agent-Based Systems

Recent years have seen an increase in the application of ideas from the social sciences to computational systems. Nowhere has this been more pronounced than in the domain of multiagent systems. Because multiagent systems are composed of multiple individual agents interacting with each other many parallels can be drawn to human and animal societies. One of the main challenges currently faced in multiagent systems research is that of social control. In particular, how can open multiagent systems be configured and organized given their constantly changing structure? One leading solution is to employ the use of social norms. In human societies, social norms are essential to regulation, coordination, and cooperation. The current trend of thinking is that these same principles can be applied to agent societies, of which multiagent systems are one type. In this article, we provide an introduction to and present a holistic viewpoint of the state of normative computing (computational solutions that employ ideas based on social norms.) To accomplish this, we (1) introduce social norms and their application to agent-based systems; (2) identify and describe a normative process abstracted from the existing research; and (3) discuss future directions for research in normative multiagent computing. The intent of this paper is to introduce new researchers to the ideas that underlie normative computing and survey the existing state of the art, as well as provide direction for future research.Norms, Normative Agents, Agents, Agent-Based System, Agent-Based Simulation, Agent-Based Modeling

French Roadmap for complex Systems 2008-2009

This second issue of the French Complex Systems Roadmap is the outcome of the Entretiens de Cargese 2008, an interdisciplinary brainstorming session organized over one week in 2008, jointly by RNSC, ISC-PIF and IXXI. It capitalizes on the first roadmap and gathers contributions of more than 70 scientists from major French institutions. The aim of this roadmap is to foster the coordination of the complex systems community on focused topics and questions, as well as to present contributions and challenges in the complex systems sciences and complexity science to the public, political and industrial spheres

An Agent-Based Computational Approach to "The Adam Smith Problem"

This paper uses agent-based modeling to investigate the philosophy of Adam Smith. During his lifetime, Smith published two books. In An Inquiry into the Nature and Causes of the Wealth of Nations (1776), he argued that market behavior was dictated primarily by self-interest. However, his earlier book, The Theory of Moral Sentiments (1759), placed sympathy and benevolence at the center of human social psychology. Reconciling these apparently contradictory views is known as the Adam Smith Problem. This study uses an agent-based model to combine Smith’s theories, exploring how social norms affect economic behavior, and vice versa. Although they share many basic assumptions, Smith’s works leave important questions unanswered: Theory of Moral Sentiments offers a strong model of how social norms consolidate but lacks a coherent explanation for how norms change over time, and, on the other side, Wealth of Nations does not account for the influence of social norms on commercial transactions nor for the durability of seemingly irrational norms in a context of market competition. Considering both theories together in a single model sheds light on their underlying tensions and exposes instabilities that Smith did not anticipate

The Impact of Agent-Based Models in the Social Sciences after 15 Years of Incursions

This paper provides an overview on the impact of agent-based models in the social sciences. It focuses on the reasons why agent-based models are seen as important innovations in the recent decades. It is aimed to evaluate the impact of this innovation on various disciplines, such as economics, sociology, anthropology, and behavioural sciences. It discusses the advances it contributed to achieve and illustrates some comparatively new fields to which it gave rise. Finally, it emphasizes some research issues that need to be addressed in the future

Conceptualizing values as part of a dynamic multilevel world

Includes bibliographical references.2015 Summer.Humans are engaged in complex relationships of adaptation and change with the environment, each affecting one another. These relationships (i.e., feedback loops) necessitate an increased understanding of the different components of social-ecological systems. However, these systems appear to operate differently depending on the levels and scales under investigation, making it difficult to fully conceptualize these interconnected phenomena as well as raising important questions. We narrow our focus on two specific areas of inquiry in the interest of explicating factors that influence social values, which in turn lead to the attitudes and behaviors that can either drive or alleviate the many environmental challenges we face. First, how might macro processes of social change at different levels affect individual-level thought, and what might this mean for biodiversity conservation and environmental protection? Second, can internal human cognitions transform into widespread societal beliefs about how the environment, including wildlife, should be treated? This dissertation presents two manuscripts designed to contribute to these areas of inquiry by considering how values are influenced by processes at different levels on a geopolitical scale, and how those values shape levels of cognition within individuals (an internal cognitive scale). The first chapter specifically focuses on understanding how socioeconomic advances at the county-level within the state of Washington are influencing new value priorities, and how these values lead to support for biodiversity conservation of species irrespective of human needs. For example, higher levels of income, education, and urbanization at both individual and county levels were associated with higher degrees of mutualism, a value orientation that prioritizes the needs of wildlife as similar to the needs of humans. Indeed, we found mutualism to be positively associated with support for wolves (Canis lupis) recolonizing the state despite the potential for livestock predation and concern for human safety. Results also indicate that these new value priorities can lead to social conflict among different segments of the public based on beliefs about how wildlife should be managed. This work demonstrates several key findings. First, broad changes in social systems lead to a fundamental shift in social values in such a way that clearly indicates social-ecological context matters. Second, these values lead to predictable patterns of response to actions that promote biodiversity conservation. However, those patterns of response vary across the landscape, providing further evidence of cross-level and cross-scale dynamics within systems. The second article casts social values as actors in a different, but equally important systems view complete with feedback loops. Specifically, social values are depicted as subject to the upward processes of emergence (micro-to-macro level) and the downward processes of immergence (macro-to-micro level). Our conceptualization acknowledges values as phenomena that emerge from individuals who are in turn shaped by pervasive social-ecological conditions (e.g., warfare, mass migrations, disease spread). Although processes of emergence are not directly studied in this manuscript, immergence is explored in two ways: (1) the effect of socioeconomic advances at a state level on individual expressions of postmaterialist values (values that tend to focus on the needs of others outside of self), and (2) the existence of widespread environmental attitudes associated with a prevalence of postmaterialist values. Only support for the second pathway of immergence was found, suggesting that individuals with postmaterialist values do indeed support protection of the environment, including wildlife, even at the expense of human interests such as economic development and recreation behaviors. In total, this dissertation is intended to provide a deeper look at the feedback loops between different levels of cognition and the world in which we live in the hopes of informing solutions to the grave environmental challenges we face