Universal Properties of Decision-Making

Humanities - Engineering - Natural Sciences - Social Sciences

 

All life forms on earth need to make decisions in one form or another in order to survive, secure the production of offspring, or design and occupy their specific niches in our ecosystem earth. Given a rational, emotional or environmental background, decisions are taken depending on a number of boundary conditions. Decision-making implies deriving output variables from input variables at various different organizational levels. In everyday life, humans constantly are making decisions alone or together with others. They are aware of themselves. We tend to believe that we are coming to conscious and informed decisions. In contrast, simple life forms, e.g. hydra or slime molds, do not have a brain, or do not even possess a neuronal network. Nevertheless, they exhibit complex behavior in order to make an optimal decision securing their survival. More generally, formulating “decision making” as searching for an optimal solution encompasses processes in non-living systems as they occur, e.g., in logistics, telecommunications, or robotics.

 

At universities in Bremen, research on decision-making spans from the humanities and the social sciences via engineering disciplines to the natural sciences. A wide variety of disciplines at the University of Bremen and the Jacobs University are actively contributing to this exciting field of research. In a series of biweekly lectures, speakers will present various disciplines and their specific perspectives, starting this summer term (SS16): What are the mechanisms of these decision processes? Are there common universal properties of decision making independent of the species or specific systems?

 

Upcoming events

Schalter, Module, Hierarchien – Was biologische Netzwerke über zelluläre Entscheidungsprozesse verraten

Prof. Dr. Marc-Thorsten Hütt, Jacobs University

 

25.10.2017, Rotunde (Cartesium), 16-18 Uhr

 

Mit den Begriffen 'Netzwerkbiologie' und 'Netzwerkmedizin' verbindet sich seit knapp 20 Jahren die Hoffnung, aus der Architektur der großen molekularen Netzwerke in biologischen Zellen (Genregulation, Metabolismus, Signaltransduktion, Proteininteraktion) eine Theorie biologischer Systeme abzuleiten. Abstract

Advanced Formal Techniques along the Design Flow

Prof. Dr. Rolf Drechsler, Universität Bremen

 

08.11.2017, Rotunde (Cartesium), 16-18 Uhr

 

The talk gives an overview of the development of solve engines and automatic decision procedures over the past two decades. It is shown how the core techniques work and what the main paradigms behind a successful automatic engine are. Not only Boolean techniques, like BDD and SAT, are presented, but also extensions to word-level descriptions for decision diagrams and solve engines exploiting additional theories. Abstract

on Wednesdays
16-18 o'clock (fortnightly)

Rotunde, Cartesium
Enrique-Schmidt-Straße 5
28359 Bremen

 

Download (PDF)

 

Further inforation:

decisions(at)uni-bremen.de