Überlegungen zur theoretischen Fundierung der Disziplin Wirtschaftsinformatik, ausgehend von der allgemeinen Systemtheorie

Using general system theory as a theoretical foundation of business information systems science. The science of business information systems is looking for its theoretical foundations. In this article general system theory is adapted to serve as such a theoretical foundation. The adapted general system theory is reconstructed using the structuralistic approach to reveal the empirical claims of this theory and to analyse scientific progress in the science of business information systems. This revised version was published online in August 2006 with corrections to the Cover Date.     

Evolutionary Psychology, Cognitive Science, and Dynamical Systems: Building an Integrative Paradigm

Cognitive science, evolutionary psychology, and dynamical systems theory have all been proposed as frameworks for linking the diverse subdisciplines of psychology with one another, and with other scientific disciplines. Traditional cognitive science focused on content-free general processing and deemphasized motivation. An evolutionary perspective emphasizes the centrality of motivational systems and the specificity of mechanisms designed to solve particular recurrent problems. The evolutionary perspective provides a set of broad general principles linking diverse behaviors in humans as well as other species. The dynamic approach seeks even broader principles, searching for emergent patterns in all complex systems, whether animate or inanimate. Natural selection is itself one such broad principle, as is the broader principle of self-organization, which helps explain dynamic equilibria found in groups of humans and in diverse species linked together within ecosystems. Proponents of the major contending interdisciplines will need to build more bridges if the dream of a unifying paradigm is to be realized. This review samples some of the reasons why evolutionary psychologists, dynamical systems theorists, and traditional cognitive scientists need one another.     

Throwing a Wrench in the Work(s): Using Multicultural and Social Justice Competency to Develop a Social Justice–Oriented Employment Counseling Toolbox

This article presents a social justice toolbox from which employment counselors can draw when working with various populations at multiple levels. First, the authors introduce social justice and its relationship to employment counseling (the toolbox). Second, the skills and knowledge required to integrate social justice into employment counseling (the tools) are presented. Finally, strategies are offered to maintain social justice competency so that the tools can be maintained and applied ethically and effectively.     

Uphill and Downhill in a Flat World: The Conceptual Topography of the Yupno House

Speakers of many languages around the world rely on body‐based contrasts (e.g., left/right ) for spatial communication and cognition. Speakers of Yupno, a language of Papua New Guinea's mountainous interior, rely instead on an environment‐based uphill/downhill contrast. Body‐based contrasts are as easy to use indoors as outdoors, but environment‐based contrasts may not be. Do Yupno speakers still use uphill/downhill contrasts indoors and, if so, how? We report three studies on spatial communication within the Yupno house. Even in this flat world, uphill/downhill contrasts are pervasive. However, the terms are not used according to the slopes beyond the house's walls, as reported in other groups. Instead, the house is treated as a microworld, with a “conceptual topography” that is strikingly reminiscent of the physical topography of the Yupno valley. The phenomenon illustrates some of the distinctive properties of environment‐based reference systems, as well as the universal power and plasticity of spatial contrasts.     

The Episodic Nature of Experience: A Dynamical Systems Analysis

Context is an important construct in many domains of cognition, including learning, memory, and emotion. We used dynamical systems methods to demonstrate the episodic nature of experience by showing a natural separation between the scales over which within‐context and between‐context relationships operate. To do this, we represented an individual's emails extending over about 5 years in a high‐dimensional semantic space and computed the dimensionalities of the subspaces occupied by these emails. Personal discourse has a two‐scaled geometry with smaller within‐context dimensionalities than between‐context dimensionalities. Prior studies have shown that reading experience (Doxas, Dennis, & Oliver, 2010) and visual experience (Sreekumar, Dennis, Doxas, Zhuang, & Belkin, 2014) have a similar two‐scaled structure. Furthermore, the recurrence plot of the emails revealed that experience is predictable and hierarchical, supporting the constructs of some influential theories of memory. The results demonstrate that experience is not scale‐free and provide an important target for accounts of how experience shapes cognition.     

The Power of 2: How an Apparently Irregular Numeration System Facilitates Mental Arithmetic

Mangarevan traditionally contained two numeration systems: a general one, which was highly regular, decimal, and extraordinarily extensive; and a specific one, which was restricted to specific objects, based on diverging counting units, and interspersed with binary steps. While most of these characteristics are shared by numeration systems in related languages in Oceania, the binary steps are unique. To account for these characteristics, this article draws on—and tries to integrate—insights from anthropology, archeology, linguistics, psychology, and cognitive science more generally. The analysis of mental arithmetic with these systems reveals that both types of systems entailed cognitive advantages and served important functions in the cultural context of their application. How these findings speak to more general questions revolving around the theoretical models and evolutionary trajectory of numerical cognition will be discussed in the 6 .     

A dual systems theory of incontinent action

In philosophy of action, we typically aim to explain action by appealing to conative attitudes whose contents are either logically consistent propositions or can be rendered as such. Call this “the logical criterion.” This is especially difficult to do with clear-minded, intentional incontinence since we have to explain how two judgments can have non-contradicting contents yet still aim at contradictory outcomes. Davidson devises an innovative way of doing this but compromises his ability to explain how our better judgments can cause our continent behaviors. In this essay, I preserve Davidson’s approach to the logical criterion but deviate from his broader theory of action by developing a default-interventionist dual systems theory of action. To do this, I focus on the dynamical relationship between System 1 and System 2: (1) the logical construction of value judgments in System 2 from System 1 and (2) the imaginative construction of non-propositional conative attitudes in System 1 from System 2. I draw on Street’s Humean constructivism and Peacocke’s theory of imagination for logical and imaginative construction, respectively. Within this framework, I provide a new definition of continence and incontinence that satisfies the logical criterion and explains how our better judgments can cause our continent behaviors.     

Implicit racial bias and epistemic pessimism

Implicit bias results from living in a society structured by race. Tamar Gendler has drawn attention to several epistemic costs of implicit bias and concludes that paying some costs is unavoidable. In this paper, we reconstruct Gendler’s argument and argue that the epistemic costs she highlights can be avoided. Though epistemic agents encode discriminatory information from the environment, not all encoded information is activated. Agents can construct local epistemic environments that do not activate biasing representations, effectively avoiding the consequences of activation. We conclude that changing our local environments provides a way to avoid paying implicit bias’s epistemic costs.     

Enabling robotic social intelligence by engineering human social-cognitive mechanisms

For effective human-robot interaction, we argue that robots must gain social-cognitive mechanisms that allow them to function naturally and intuitively during social interactions with humans. However, a lack of consensus on social cognitive processes poses a challenge for how to design such mechanisms for artificial cognitive systems. We discuss a recent integrative perspective of social cognition to provide a systematic theoretical underpinning for computational instantiations of these mechanisms. We highlight several commitments of our approach that we refer to as Engineering Human Social Cognition. We then provide a series of recommendations to facilitate the development of the perceptual, motor, and cognitive architecture for this proposed artificial cognitive system in future work. For each recommendation, we highlight their relation to the discussed social-cognitive mechanisms, provide the rationale for these recommendations and potential benefits, and detail examples of associated computational formalisms that could be leveraged to instantiate our recommendations. Overall, the goal of this paper is to outline an interdisciplinary and multi-theoretic approach to facilitate the design of robots that will one day function, and be perceived, as socially interactive and effective teammates.     

A socially-based distributed self-organizing algorithm for holonic multi-agent systems: Case study in a task environment

Holonic multi-agent systems (HMASs) have recently attracted many researches in multi-agent systems community. Inspired from the multi-level and self-similar structures of social and biological system, holonic multi-agent systems have been widely used to model and solve complex real-world problems. The main concern in deploying HMASs is the problem of building the hierarchical holonic structure, called holarchy, and dynamically managing it during its lifetime. The way an HMAS is organized has a great impact on its applicability and performance. This paper proposes a self-organizing algorithm to build and manage the holoic structures in multi-agent systems. This algorithm is based on the local information of the agents about other agents they can communicate with. Using common social concepts, like skills, diversity, social exchange theory, and norms in definition of the algorithm, the outcomes of this research can be used in wide ranges of distributed applications. The proposed model is extensively tested in a task allocation problem; and its performance based on various design parameters is studied. Empirical results show that the proposed model properly increases the performance of the system in terms of effectiveness and efficiency.