Refine
Document Type
- Working Paper (4)
- Article (2)
- Doctoral Thesis (1)
Has Fulltext
- yes (7)
Is part of the Bibliography
- no (7)
Keywords
- cooperation (7) (remove)
Larinioides sclopetarius is one of very few Central European spiders known to be found in colonies in which the orb-webs are attached to each other. Individuals of different generations cooperate at least in web-building, i.e. they share the same framework or irregular “web carpet”. This behaviour is called parasocial and up to now it has been studied mainly in subtropical and tropical species. Parasocial (colonial) life can lead to total degeneration of the orb-webs and is the result of increased tolerance, which depends on local superabundance of prey. Initial surveys in Essen (Germany) showed that groups of 60 to 200 individuals do not seem to be exceptional. More detailed studies on the group-living of L. sclopetarius are needed.
Monetary theorists have advanced an intriguing notion: we exchange money to make up for a lack of enforcement, when it is difficult to monitor and sanction opportunistic behaviors. We demonstrate that, in fact, monetary equilibrium cannot generally be sustained when monitoring and punishment limitations preclude enforcement — external or not. Simply put, monetary systems cannot operate independently of institutions — formal or informal — designed to monitor behaviors and sanction undesirable ones. This fundamental result is derived by integrating monetary theory with the theory of repeated games, studying monetary equilibrium as the outcome of a matching game with private monitoring.
Asymmetric social norms
(2017)
Studies of cooperation in infinitely repeated matching games focus on homogeneous economies, where full cooperation is efficient and any defection is collectively sanctioned. Here we study heterogeneous economies where occasional defections are part of efficient play, and show how to support those outcomes through contagious punishments.
Ausgangspunkt ist die Beobachtung, dass sich empirisch eine inklusive Schule oftmals als eine differenzierte und differenzierende Schule darstellt. Dies bezieht sich etwa auf die Ausdifferenzierung der ‚heterogenen Lehrgruppe‘. Im zeitgemäßen inklusiven Unterricht sind allgemein- und sonderpädagogische Lehrkräfte ebenso wie Schulbegleitungen anwesend. Auch Sozialpädagog*innen und Therapeut*innen gehören vermehrt zum Schulalltag.
Vorliegende Studien dokumentieren, dass die Gestaltung inklusiver Schulen bzw. von inklusivem Unterricht von nicht intendierten Effekten und Widerständigkeiten der Akteur*innen begleitet ist. Im Beitrag werden – basierend auf der ProFiS-Studie – zwei Herausforderungen von inklusiven Schulen in den Mittelpunkt gerückt. Zum einen wird auf das Spannungsfeld von Professionalisierung und Deprofessionalisierung eingegangen. Zum anderen stellt das Verhältnis von Kategorisierung und Dekategorisierung eine Herausforderung dar. Beide Relationen sind als Spannungsverhältnisse untereinander und zueinander zu denken, die sich nicht ‚einfach‘ in eine Richtung auflösen lassen, sondern die in ihrer Widersprüchlichkeit gerade konstitutiv für die Praxis ‚inklusiver Schulen‘ wirken. Zentrale Frage des Beitrags ist, wie dieses komplexe Spannungsverhältnis der wechselseitigen Bezogenheit de/kategorisierender und de/professionalisierender Prozesse in professionellen Aktivitäten hervorgebracht wird.
Money is more than memory
(2014)
Impersonal exchange is the hallmark of an advanced society. One key institution for impersonal exchange is money, which economic theory considers just a primitive arrangement for monitoring past conduct in society. If so, then a public record of past actions — or memory — supersedes the function performed by money. This intriguing theoretical postulate remains untested. In an experiment, we show that the suggested functional equality between money and memory does not translate into an empirical equivalence. Monetary systems perform a richer set of functions than just revealing past behaviors, which proves to be crucial in promoting large-scale cooperation.
Biotechnological processes offer better production conditions for a wide variety of goods of industrial interest. The production of aromatic compounds, for example, involves molecules of great value for cosmetic, plastic, agrochemical and pharmaceutic industries. However, the yield of such processes frequently prevents a proper implementtation that would allow the replacement of traditional production processes.
Numerous rational engineering approaches have been attempted to enhance metabolic pathways associated with desired products. Unfortunately, genetic modifications and heterologous pathway expression often lead to a higher metabolic burden on the producing organisms, ultimately leading to reduced production levels and fitness.
This project utilised adaptive laboratory evolution to better understand the development of synthetic cooperative consortia, using S. cerevisiae as a model organism. Specifically, a synthetic cooperative consortium was developed around the exchange of lysine and tyrosine, which was subjected to adaptive laboratory evolution aiming to induce mutations that would improve the system’s fitness either by enhanced production or upgraded stress resistance. Consequently, the mutant strains isolated after the evolution rounds were sequenced to identify relevant variations that could be related to the growth and production phenotypes observed.
The insights derived from this project are expected to contribute to further developing synthetic cooperative consortia with utilitarian purposes.
In current discussions on large language models (LLMs) such as GPT, understanding their ability to emulate facets of human intelligence stands central. Using behavioral economic paradigms and structural models, we investigate GPT’s cooperativeness in human interactions and assess its rational goal-oriented behavior. We discover that GPT cooperates more than humans and has overly optimistic expectations about human cooperation. Intriguingly, additional analyses reveal that GPT’s behavior isn’t random; it displays a level of goal-oriented rationality surpassing human counterparts. Our findings suggest that GPT hyper-rationally aims to maximize social welfare, coupled with a strive of self-preservation. Methodologically, our esearch highlights how structural models, typically employed to decipher human behavior, can illuminate the rationality and goal-orientation of LLMs. This opens a compelling path for future research into the intricate rationality of sophisticated, yet enigmatic artificial agents.