Towards adaptive multi-robot systems: self-organization and self-adaptation

Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.The development of complex systems ensembles that operate in uncertain environments is a major challenge. The reason for this is that system designers are not able to fully specify the system during specification and development and before it is being deployed. Natural swarm systems enjoy similar characteristics, yet, being self-adaptive and being able to self-organize, these systems show beneficial emergent behaviour. Similar concepts can be extremely helpful for artificial systems, especially when it comes to multi-robot scenarios, which require such solution in order to be applicable to highly uncertain real world application. In this article, we present a comprehensive overview over state-of-the-art solutions in emergent systems, self-organization, self-adaptation, and robotics. We discuss these approaches in the light of a framework for multi-robot systems and identify similarities, differences missing links and open gaps that have to be addressed in order to make this framework possible

Contemporary performance measurement systems: A review of their consequences and a framework for research

The main purpose of this paper is to develop a conceptual framework for understanding the literature on the consequences of contemporary performance measurement (CPM) systems and the theories that explain these consequences. The framework is based on an in-depth review of 76 empirical studies published in high-quality academic journals in the areas of accounting, operations, and strategy. The framework classifies the consequences of CPM into three categories: people's behaviour, organizational capabilities, and performance consequences. This paper discusses our current knowledge on the impact of CPM, highlighting inconsistencies and gaps as well as providing direction for future research

Employee Voice, Human Resource Practices, and Quit Rates: Evidence from the Telecommunications Industry

In this paper, we examine the predictors of aggregate quit rates at the establishment level. We draw on strategic human resource and industrial relations theory to identify the sets of employee voice mechanisms and human resource practices that are likely to predict quit rates. With respect to alternative voice mechanisms, we find that union representation significantly predicts lower quit rates after controlling for compensation and a wide range of other human resource practices that may be affected by collective bargaining. Direct participation via offline problem-solving groups and self-directed teams is significantly negatively related to quit rates,but non-union dispute resolution procedures are not. In addition, higher relative wages and internal promotion policies significantly predict lower quit rates, while contingent staffing, electronic monitoring, and variable pay predict significantly higher rates

Organizational Control Systems and Software Quality: A Cross-National Study.

This study explores the relationship between organizational control modes (behavior, outcome, and clan) andsoftware quality. Much of the previous work on organizational control has examined the choice of modes giventask characteristics. This research extends work in control theory by considering the impact of control modeson the increasingly critical organizational outcome of software quality. The research is set in the context ofsoftware development organizations in three of the largest software developing countries: India, Ireland, andIsrael (the 3Is). A cross sectional survey of 400 software development organizations across the 3Is will be usedto test the developed model. In addition to the theoretical contributions, the study will provide practicalimplications to support software project managers in making better organizational control choices

Learning Lessons with Knowledge Audits

{Excerpt} Knowledge from evaluations will not be used effectively if the specific organizational context, knowledge, and relationships of evaluation agencies, and the external environment they face, are not dealt with in an integrated and coherent manner. Knowledge management can shed light on this and related initiatives can catalyze and facilitate identification, creation, storage, sharing, and use of lessons. Most development agencies have committed to become learning organizations. But the use of evaluation for learning may be less important than that of other inputs, such as self evaluation and training, and evaluation results may only marginally support policy, strategy, and operational changes. In 2006, the Independent Evaluation Department in the Asian Development Bank determined to apply knowledge management to lesson learning. In 2007, it formulated a strategic framework to improve the organizational culture, management system, business processes, information technology solutions, community of practice, and external relations and networking for that. These Knowledge Solutions explain the strategic framework. They also describe the knowledge audit methodology developed to tie in with the department’s audiences. The online, questionnaire-based survey of perceptions conducted as a first exercise that year provided ready and multiple entry points against which the department can take measures to that intent, as well as a comprehensive baseline assessment against which to judge progress. Fundamentally, these Knowledge Solutions contend that evaluation agencies should move from “make-and-sell,” at the simplest level, to “sense-and-respond” in ways that are increasingly satisfying to stakeholders. Knowledge from evaluations will not be used effectively if the specific organizational context, knowledge, and relationships of evaluation agencies, and the external environment they face, are not dealt with in an integrated and coherent manner. Knowledge management can shed light on possible operating frameworks for this and knowledge management initiatives can be applied to catalyze and facilitate identification, creation, storage, sharing, and use of lessons. That would be knowledge utilization indeed

Institutional isomorphism, negativity bias and performance information use by politicians : a survey experiment

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How does the franchisor’s choice of different control mechanisms affect franchisees’ and employee-managers’ satisfaction?

Satisfaction of franchisees and employee-managers affects the overall performance of a franchise system. We argue that different actors in the same franchise system need to be treated in different ways. The franchisor’s choice of control mechanisms affects the satisfaction of franchisees and employee-managers differently. Drawing on data from the largest German franchise system, we show that the effectiveness of different control mechanisms depends on actor type and experience. Outcome control leads to higher satisfaction among franchisees and employee-managers, while behavior control enhances employee-managers’ satisfaction. Thereby, outcome control leads to higher satisfaction among more experienced franchisees, while behavior control enhances both highly and lowly experienced employee-managers’ satisfaction. Our results suggest that franchisors face a dilemma: On the one hand, behavior control is associated with high costs and has no impact on franchisees’ satisfaction at all. On the other hand, it might still be necessary to prevent franchisees from behaving opportunistically

How does the franchisor’s choice of different control mechanisms affect franchisees’ and employee-managers’ satisfaction?

Satisfaction of franchisees and employee-managers affects the overall performance of a franchise system. We argue that different actors in the same franchise system need to be treated in different ways. The franchisor’s choice of control mechanisms affects the satisfaction of franchisees and employee-managers differently. Drawing on data from the largest German franchise system, we show that the effectiveness of different control mechanisms depends on actor type and experience. Outcome control leads to higher satisfaction among franchisees and employee-managers, while behavior control enhances employee-managers’ satisfaction. Thereby, outcome control leads to higher satisfaction among more experienced franchisees, while behavior control enhances both highly and lowly experienced employee-managers’ satisfaction. Our results suggest that franchisors face a dilemma: On the one hand, behavior control is associated with high costs and has no impact on franchisees’ satisfaction at all. On the other hand, it might still be necessary to prevent franchisees from behaving opportunistically

Self-organization in Communicating Groups: the emergence of coordination, shared references and collective intelligence\ud

The present paper will sketch the basic ideas of the complexity paradigm, and then apply them to social systems, and in particular to groups of communicating individuals who together need to agree about how to tackle some problem or how to coordinate their actions. I will elaborate these concepts to provide an integrated foundation for a theory of self-organization, to be understood as a non-linear process of spontaneous coordination between actions. Such coordination will be shown to consist of the following components: alignment, division of labor, workflow and aggregation. I will then review some paradigmatic simulations and experiments that illustrate the alignment of references and communicative conventions between communicating agents. Finally, the paper will summarize the preliminary results of a series of experiments that I devised in order to observe the emergence of collective intelligence within a communicating group, and interpret these observations in terms of alignment, division of labor and workflow