Modelling bargaining behaviors within biotech clusters - Towards the "power of the weak" emergence?

If spatial and industrial economics theorical models, such as industrial districts, clusters, or learning regions propose a large analysis of differentiated coordination mecanisms, it however not really takes into account behavior of dispute dynamics, such as conflict of bargaining and power, which can explain both diversity and ambivalence of local coordinations. So, our purpose in this contribution is to bring to light that bargaining and power conflicts are at stake in coordinations structuration within territories. We base this contribution on Artificial Life simulations involving public and private local actors who bargain to share a local resource using more or less sophisticated strategies. On a methodologic point of view, our thought is based on an empirical established fact. Analysis of a biotechnology cluster in Toulouse-France (Leroux I., 2002, 2004) indeed contributes to bring to light that coordinations involving pharmaceutical industry, local communities and local research laboratories are based on direct or indirect evolving domination and concession bargaining games. If industrial firms play "the power of the weak" game, making concession of their decision power to public research laboratories, they endeavour systematically to exerce an influence or a discrimination power, by using hided and indirect means that forward by local communities.Starting from this established fact, we propose Artificial Life simulations of local bargaining games, inspired from the T. Ellingsen (1997) bargaining evolutionnary game. This is a Nash demand game under ultimatum. It leads to the interaction of obstinate agents whose demands are independent of those of the adversaries, and sophisticated agents who adapt their demand to that hoped for of their adversaries rather than gain nothing. As a result, our simulations show that bargainings between these local actors lead to an agreement which is not a perfect share, or an "universal" rule, but a compromise frequently hiding complex mecanisms of domination and concession. The main contribution of these simulations, which are based on genetic algorithms, is to put in a prominent position the variations of behavioral rules. We show how bargaining is an evolving processus based on domination and concession behaviors (influence, coercion,…) bringing to light the T. Schelling (1960) "power of the weak". This result brings to the fore the question of flexibility and phasing dynamics of power behaviors in local coordination bargainings. This model can contributes to open new researches focused on power and conflict strategies within local coordinations.

Forms of European Administrative Action

Chiti examines the various forms of European administration and their associated administrative law systems. Chiti recounts the history of administration and of administrative law in the European Community, examines the main types of administrative action in the Community, and highlights the novel elements and the shortcomings of European administrative law today

Special issue on distributed computing and artificial intelligence

4:1! Google’s artificial intelligence (AI) program, AlphaGo, has won Go Master Lee Sedol in a best-of-five competition held in Korean March 9−15, 2016. Seen by many as a landmark moment for AI, the outcome did not come as a surprise, considering the excellent combination of 1920 CPUs with sophisticated AI algorithms, including neural networks and Monte Carlo tree search (Gibney, 2016; Silver et al., 2016). Indeed, research on distributed computing and artificial intelligence (DCAI) has matured during the last decade and many effective applications are now deployed, performing an increasingly important role in modern computer science, including the two most hyped technologies: Internet of Things and Big Data. Indeed, it is fair to say that the application of artificial intelligence in distributed environments is becoming an essential element of high added value and economic potential

Agriculture, Rural Development and Potential for a ‘Middle Agriculture’ in Ireland

Working PaperThis paper gives a brief overview of current farm viability in Ireland and summarises some of the main ‘barriers’ to farm families’ engagement in contemporary rural development programmes. Against this backdrop, the paper discusses the potential of a middle agriculture model for rural development. The capacity of such a model to address some of the economic, social and cultural predicaments of Irish family farms is outlined. The potential of the model is also discussed in terms of how it may respond to contemporary EC rural development policy priority objectives

Artistic labour: seeking a utopian dimension

This is the author accepted manuscript. The final version is available from OpenEdition via http://dx.doi.org/10.4000/cadernosaa.1053This article investigates the notion of artistic labour by elucidating how artists can create ethical social relations to perform “a new, possible world” by reinserting labour and advocacy into their practice. An examination of contemporary works by Ahmet Öğüt and Cevdet Erek who attempt to create micro-utopias by situating artistic labour at their core or by emphasising the power of networks and the “commons” to foster social integration are juxtaposed with the discussion of a possible genealogy of such utopian artistic attempts from the late 1960s and 1970s. The historical trajectory delineates the common denominators of artistic practices that proceed from utopian ideals such as anti-isolation, anti social division, anti self-reflexivity, process instead of object-based work, and investment in human value rather than materialistic value

Pro-poor intervention strategies in irrigated agriculture in Asia: poverty in irrigated agriculture: issues and options: Indonesia

Irrigated farming / Poverty / Institutional development / Irrigation management / Colonialism / Policy / Privatization / Hydrology / Climate / Cropping systems / Soils / Participatory rural appraisal / Performance indexes / Crop production / Costs / Households / Income / Expenditure / Irrigation systems / Operations / Maintenance / Water users’ associations / Financing / Constraints / Indonesia

Human behaviour modelling in complex socio-technical systems : an agent based approach

For many years we have been striving to understand human behaviour and our interactions with our socio-technological environment. By advancing our knowledge in this area, we have helped the design of new or improved work processes and technologies. Historically, much of the work in analysing social interactions has been conducted within the social sciences. However, computer simulation has brought an extra tool in trying to understand and model human behaviours. Using an agent based approach this presentation describes my work in constructing computational models of human behaviour for informing design through simulation. With examples from projects in two main application areas of crisis and emergency management, and energy management I describe how my work addresses some main issues in agent based social simulation. The first concerns the process by which we develop these models. The second lies in the nature of socio-technical systems. Human societies are a perfect example of a complex system exhibiting characteristics of self-organisation, adaptability and showing emergent phenomena such as cooperation and robustness. I describe how complex systems theory may be applied to improve our understanding of socio-technical systems, and how our micro level interactions lead to emergent mutual awareness for problem-solving. From agent based simulation systems I show how context awareness may be modelled. Looking forward to the future, I discuss how the increasing prevalence of artificial agents in our society will cause us to re-examine the new types of interactions and cooperative behaviours that will emerge.Depuis de nombreuses années, nous nous sommes efforcés de comprendre le comportement humain et nos interactions avec l'environnement sociotechnique. Grâce à l'avancée de nos connaissances dans ce domaine, nous avons contribué à la conception de technologies et de processus de travail nouveaux ou améliorés. Historiquement, une part importante du travail d'analyse des interactions sociales fut entreprise au sein des sciences sociales. Cependant, la simulation informatique a apporté un nouvel outil pour tenter de comprendre et de modéliser les comportements humains. En utilisant une approche à base d'agents, cette présentation décrit mon travail sur la construction de modèles informatiques du comportement humain pour guider la conception par la simulation. A l'aide d'exemples issus de projets des deux domaines d'application que sont la gestion des crises et de l'urgence et la gestion de l'énergie, je décris comment mon travail aborde certains problèmes centraux à la simulation sociale à base d'agents. Le premier concerne le processus par lequel nous développons ces modèles. Le second problème provient de la nature des systèmes sociotechniques. Les sociétés humaines constituent un exemple parfait de système complexe possédant des caractéristiques d'auto-organisation et d'adaptabilité, et affichant des phénomènes émergents tels que la coopération et la robustesse. Je décris comment la théorie des systèmes complexes peut être appliquée pour améliorer notre compréhension des systèmes sociotechniques, et comment nos interactions au niveau microscopique mènent à l'émergence d'une conscience mutuelle pour la résolution de problèmes. A partir de systèmes de simulation à base d'agents, je montre comment la conscience du contexte peut être modélisée. En terme de perspectives, j'expliquerai comment la hausse de la prévalence des agents artificiels dans notre société nous forcera à considérer de nouveaux types d'interactions et de comportements coopératifs