Offline Emergence Engineering For Agent Societies

Many examples for emergent behaviors may be observed in self-organizing physical and biological systems which prove to be robust, stable, and adaptable. Such behaviors are often based on very simple mechanisms and rules, but artificially creating them is a challenging task which does not comply with traditional software engineering. In this article, we propose a hybrid approach by combining strategies from Genetic Programming and agent software engineering, and demonstrate that this approach effectively yields an emergent design for given problems.

Applicability of Emergence Engineering to Distributed Systems Scenarios

Genetic Programming can be effectively used to create emergent behavior for a group of autonomous agents. In the process we call Offline Emergence Engineering, the behavior is at first bred in a Genetic Programming environment and then deployed to the agents in the real environment. In this article we shortly describe our approach, introduce an extended behavioral rule syntax, and discuss the impact of the expressiveness of the behavioral description to the generation success, using two scenarios in comparison: the election problem and the distributed critical section problem. We evaluate the results, formulating criteria for the applicability of our approach.

Dual retrieval in conceptual information systems

Conceptual Information Systems provide a multi-dimensional conceptually structured view on data stored in relational databases. On restricting the expressiveness of the retrieval language, they allow the visualization of sets of realted queries in conceptual hierarchies, hence supporting the search of something one does not have a precise description, but only a vague idea of. Information Retrieval is considered as the process of finding specific objects (documents etc.) out of a large set of objects which fit to some description. In some data analysis and knowledge discovery applications, the dual task is of interest: The analyst needs to determine, for a subset of objects, a description for this subset. In this paper we discuss how Conceptual Information Systems can be extended to support also the second task.

Ansätze einer akteursbasierten Innovationserklärung

Mit der vorliegenden Arbeit soll ein Beitrag zu einer (empirisch) gehaltvollen Mikrofundierung des Innovationsgeschehens im Rahmen einer evolutorischen Perspektive geleistet werden. Der verhaltensbezogene Schwerpunkt ist dabei, in unterschiedlichem Ausmaß, auf das Akteurs- und Innovationsmodell von Herbert Simon bzw. der Carnegie-School ausgerichtet und ergänzt, spezifiziert und erweitert dieses unter anderem um vertiefende Befunde der Kreativitäts- und Kognitionsforschung bzw. der Psychologie und der Vertrauensforschung sowie auch der modernen Innovationsforschung. zudem Bezug auf einen gesellschaftlich und ökonomisch relevanten Gegenstandsbereich der Innovation, die Umweltinnovation. Die Arbeit ist sowohl konzeptionell als auch empirisch ausgerichtet, zudem findet die Methode der Computersimulation in Form zweier Multi-Agentensysteme Anwendung. Als zusammenfassendes Ergebnis lässt sich im Allgemeinen festhalten, dass Innovationen als hochprekäre Prozesse anzusehen sind, welche auf einer Verbindung von spezifischen Akteursmerkmalen, Akteurskonstellationen und Umfeldbedingungen beruhen, Iterationsschleifen unterliegen (u.a. durch Lernen, Rückkoppelungen und Aufbau von Vertrauen) und Teil eines umfassenderen Handlungs- sowie (im Falle von Unternehmen) Organisationskontextes sind. Das Akteurshandeln und die Interaktion von Akteuren sind dabei Ausgangspunkt für Emergenzen auf der Meso- und der Makroebene. Die Ergebnisse der Analysen der in dieser Arbeit enthaltenen fünf Fachbeiträge zeigen im Speziellen, dass der Ansatz von Herbert Simon bzw. der Carnegie-School eine geeignete theoretische Grundlage zur Erfassung einer prozessorientierten Mikrofundierung des Gegenstandsbereichs der Innovation darstellt und – bei geeigneter Ergänzung und Adaption an den jeweiligen Erkenntnisgegenstand – eine differenzierte Betrachtung unterschiedlicher Arten von Innovationsprozessen und deren akteursbasierten Grundlagen sowohl auf der individuellen Ebene als auch auf Ebene von Unternehmen ermöglicht. Zudem wird deutlich, dass der Ansatz von Herbert Simon bzw. der Carnegie-School mit dem Initiationsmodell einen zusätzlichen Aspekt in die Diskussion einbringt, welcher bislang wenig Aufmerksamkeit fand, jedoch konstitutiv für eine ökonomische Perspektive ist: die Analyse der Bestimmungsgrößen (und des Prozesses) der Entscheidung zur Innovation. Denn auch wenn das Verständnis der Prozesse bzw. der Determinanten der Erstellung, Umsetzung und Diffusion von Innovationen von grundlegender Bedeutung ist, ist letztendlich die Frage, warum und unter welchen Umständen Akteure sich für Innovationen entscheiden, ein zentraler Kernbereich einer ökonomischen Betrachtung. Die Ergebnisse der Arbeit sind auch für die praktische Wirtschaftspolitik von Bedeutung, insbesondere mit Blick auf Innovationsprozesse und Umweltwirkungen.

Interpretation of noncharacteristic M X-rays in heavy colliding systems by selfconsistent relativistic molecular calculations

The result of the first calculation of a self-consistent relativistic many electron correlation diagram ever done (for the system Au - I) leads to a good agreement of the spectral shape and position of the observed noncharacteristic X-rays within the quasi adiabatic model.

Reverse pivoting in conceptual information systems

In database marketing, the behavior of customers is analyzed by studying the transactions they have performed. In order to get a global picture of the behavior of a customer, his single transactions have to be composed together. In On-Line Analytical Processing, this operation is known as reverse pivoting. With the ongoing data analysis process, reverse pivoting has to be repeated several times, usually requiring an implementation in SQL. In this paper, we present a construction for conceptual scales for reverse pivoting in Conceptual Information Systems, and also discuss the visualization. The construction allows the reuse of previously created queries without reprogramming and offers a visualization of the results by line diagrams.

A Language for Interactive Cooperative Agents

Cooperative behaviour of agents within highly dynamic and nondeterministic domains is an active field of research. In particular establishing highly responsive teamwork, where agents are able to react on dynamic changes in the environment while facing unreliable communication and sensory noise, is an open problem. Moreover, modelling such responsive, cooperative behaviour is difficult. In this work, we specify a novel model for cooperative behaviour geared towards highly dynamic domains. In our approach, agents estimate each other’s decision and correct these estimations once they receive contradictory information. We aim at a comprehensive approach for agent teamwork featuring intuitive modelling capabilities for multi-agent activities, abstractions over activities and agents, and a clear operational semantic for the new model. This work encompasses a complete specification of the new language, ALICA.

Swamp buffalo keeping – an out-dated farming activity? A case study in smallholder farming systems in Xishuangbanna, Yunnan Province, PR China

Expansion of rubber tree plantations and agricultural mechanization caused a decline of swamp buffalo numbers in the Naban River National Nature Reserve (NRNNR), Yunnan Province, China. We analysed current use of buffaloes for field work and the recent development of the regional buffalo population, based on interviews with 184 farmers in 2007/2008 and discussions with 62 buffalo keepers in 2009. Three types of NRNNR farms were distinguished, differing mainly in altitude, area under rubber, and involvement in livestock husbandry. While pig based farms (PB; n=37) have abandoned buffalo keeping, 11% of the rubber based farms (RB; n=71) and 100% of the livestock-corn based farms (LB; n=76) kept buffaloes in 2008. Herd size was 2.5 +/-1.80 (n=84) buffaloes in early 2008 and 2.2 +/-1.69 (n=62) in 2009. Field work on own land was the main reason for keeping buffaloes (87.3 %), but lending work buffaloes to neighbours (79.0%) was also important. Other purposes were transport of goods (16.1%), buffalo trade (11.3%) and meat consumption (6.4%). Buffalo care required 6.2 +/-3.00 working hours daily, while annual working time of a buffalo was 294 +/-216.6 hours. The area ploughed with buffaloes remained constant during the past 10 years despite an expansion of land cropped per farm. Although further replacement of buffaloes by tractors occurs rapidly, buffaloes still provide cheap work force and buffer risks on poor NRNNR farms. Appropriate advice is needed for improved breeding management to increase the efficiency of buffalo husbandry and provide better opportunities for buffalo meat sale in the region.

Effects of transformation processes in 'jubraka' agroforestry systems of the Nuba Mountains, Sudan, on nutrient fluxes

Intensification processes in homegardens of the Nuba Mountains, Sudan, raise concerns about strongly positive carbon (C) and nutrient balances which are expected to lead to substantial element losses from these agroecosystems, in particular via soil gaseous emissions. Therefore, this thesis aimed at the quantification of C, nitrogen (N), phosphorus (P) and potassium (K) input and output fluxes with a special focus on soil gaseous losses, and the calculation of respective element balances. A further focus in this thesis was rainfall, a valuable resource for rain-fed agriculture in the Nuba Mountains. To minimize negative consequences of the high variability of rainfall, risk reducing mechanisms were developed by rain-fed farmers that may lose their efficacy in the course of climate change effects predicted for East Africa. Therefore, the second objective of this study was to examine possible changes in rainfall amounts during the last 60 years and to provide reliable risk and probability statements of rainfall-induced events of agricultural importance to rain-fed farmers in the Nuba Mountains. Soil gaseous emissions of C (in form of CO2) and N (in form of NH3 and N2O) of two traditional and two intensified homegardens were determined with a portable dynamic closed chamber system. For C gaseous emission rates reached their peak at the onset of the rainy season (2,325 g CO2-C ha-1 h-1 in an intensified garden type) and for N during the rainy season (16 g NH3-N ha-1 h-1 and 11.3 g N2O-N ha-1 h-1, in a traditional garden type). Data indicated cumulative annual emissions of 5,893 kg CO2-C ha-1, 37 kg NH3-N ha-1, and 16 kg N2O-N ha-1. For the assessment of the long-term productivity of the two types of homegardens and the identification of pathways of substantial element losses, a C and nutrient budget approach was used. In three traditional and three intensified homegardens observation plots were selected. The following variables were quantified on each plot between June and December in 2010: soil amendments, irrigation, biomass removal, symbiotic N2 fixation, C fixation by photosynthesis, atmospheric wet and dry deposition, leaching and soil gaseous emissions. Annual balances for C and nutrients amounted to -21 kg C ha-1, -70 kg N ha-1, 9 kg P ha-1 and -117 kg K ha-1 in intensified homegardens and to -1,722 kg C ha-1, -167 kg N ha-1, -9 kg P ha-1 and -74 kg K ha-1 in traditional homegardens. For the analysis of rainfall data, the INSTAT+ software allowed to aggregate long-term daily rainfall records from the Kadugli and Rashad weather stations into daily, monthly and annual intervals and to calculate rainfall-induced events of agricultural importance. Subsequently, these calculated values and events were checked for possible monotonic trends by Mann-Kendall tests. Over the period from 1970 to 2009, annual rainfall did not change significantly for either station. However, during this period an increase of low rainfall events coinciding with a decline in the number of medium daily rainfall events was observed in Rashad. Furthermore, the availability of daily rainfall data enabled frequency and conditional probability calculations that showed either no statistically significant changes or trends resulting only in minor changes of probabilities.

Blended learning in der Hochschullehre?

Im Zuge der Verbesserung der Lehre an deutschen Hochschulen und Universitäten sind in den letzten Jahren bereits vielfältige Innovationen hinsichtlich der Gestaltung von Vorlesungen und Seminaren in den unterschiedlichen Fachdisziplinen deutlich geworden. Bei größeren Vorlesungen besteht das Problem eine kognitive Mitarbeit von allen Studierenden zu fördern, vor allem in Mathematikvorlesungen. In den letzten Jahren konnten bereits vielversprechende Gestaltungsmöglichkeiten im Bereich der Fachmathematikvorlesungen eingesetzt werden, die ganz im Trend der digitalen Medien liegen. Diese sind aus dem Alltag vieler Berufsgruppen, wie auch der Lehre und in der Freizeit nicht mehr wegzudenken. Im Folgenden wird eine Pilotstudie mit ersten Ergebnissen beschrieben. Das Projekt M@thWithApps startete im WS 2012/2013 in der Fachvorlesung „Mathematische Anwendungen“ mit 120 Studierenden des Grundschullehramts an der Universität Kassel. Die Studierenden wurden mit Tablet-PCs ausgestattet, die über den gesamten Vorlesungs- und Übungszeitraum eingesetzt wurden. Somit stellt sich die Frage nach den Chancen und Risiken dieser besonderen Form des Lernens, verbunden mit einem Tablet-PC.

Effects of transformation processes in 'jubraka' agroforestry systems of the Nuba Mountains, Sudan, on plant diversity

Deutsche Forschungsgemeinschaft