Complex adaptive system

About: Complex adaptive system is a research topic. Over the lifetime, 3190 publications have been published within this topic receiving 111947 citations. The topic is also known as: Complex adaptive system, CAS.

Adaptive social networks promote the wisdom of crowds

Abstract: Social networks continuously change as new ties are created and existing ones fade. It is widely acknowledged that our social embedding has a substantial impact on what information we receive and how we form beliefs and make decisions. However, most empirical studies on the role of social networks in collective intelligence have overlooked the dynamic nature of social networks and its role in fostering adaptive collective intelligence. Therefore, little is known about how groups of individuals dynamically modify their local connections and, accordingly, the topology of the network of interactions to respond to changing environmental conditions. In this paper, we address this question through a series of behavioral experiments and supporting simulations. Our results reveal that, in the presence of plasticity and feedback, social networks can adapt to biased and changing information environments and produce collective estimates that are more accurate than their best-performing member. To explain these results, we explore two mechanisms: 1) a global-adaptation mechanism where the structural connectivity of the network itself changes such that it amplifies the estimates of high-performing members within the group (i.e., the network "edges" encode the computation); and 2) a local-adaptation mechanism where accurate individuals are more resistant to social influence (i.e., adjustments to the attributes of the "node" in the network); therefore, their initial belief is disproportionately weighted in the collective estimate. Our findings substantiate the role of social-network plasticity and feedback as key adaptive mechanisms for refining individual and collective judgments.

A framework for understanding leadership and individual requisite complexity

Abstract: This paper examines the relation of individual perceptual, conscious, and self-regulatory processes to the generation of requisite complexity in formal and informal leaders. Requisite complexity is a complex adaptive systems concept that pertains to the ability of a system to adjust to the requirements of a changing environment by achieving equivalent levels of complexity. We maintain that requisite complexity has both static and dynamic aspects that involve four domains (general, social, self, and affective complexity), with each being more or less important for leaders depending upon the task requirements they face. Dynamic complexity draws on these static components and also creates new aspects of complexity through the interaction of mental processes. The implications of these issues for understanding leader adaptation and development are also discussed.

Review and reappraisal of adaptive interfaces: Toward biologically inspired paradigms

Abstract: The field of Adaptive Interfaces has been an active area of research for over 10 years. While there have been great advances, unresolved issues remain. The paper presents a reappraisal of adaptive interfaces with an eye toward addressing these issues using biologically inspired methods. We first define a general and theoretical model of adaptive interfaces based on a survey of existing research. Using our generalized adaptive interface model, we then proceed to build taxonomies of variables used for adaptation. The aim is to provide researchers, designers and builders a better understanding of the underlying mechanisms, processes and outcomes of adaptive interfaces. From our review, we propose design rules that address three primary elements of a generalized adaptive interface: the identification of variables that call for adaptation, the determination of necessary modifications to the interface, and the selection of the decision inference mechanism. We then turn to the investigation of an alternative met...

Complexity theory: the changing role of leadership

Abstract: The study of complex adaptive systems which explains the constant flux of living systems is arousing much interest as a paradigm and model for studying organisational behaviour and associated disciplines. A new order of reality emerges as a result of the constant interaction and coevolution of the elements of the system as well as their interaction with the system itself. The space of complexity is that state which the system occupies and which lies between order and chaos. One major impact on organisations in applying the concepts of complexity theory is the way in which leadership is seen and the need for change.

Agent-Based Computational Economics: Growing Economies from the Bottom Up

Abstract: Agent-based computational economics (ACE) is the computational study of economies modeled as evolving systems of autonomous interacting agents. Thus, ACE is a specialization to economics of the basic complex adaptive systems paradigm. This study outlines the main objectives and defining characteristics of the ACE methodology, and discusses the similarities and distinctions between ACE and artificial life research. Eight ACE research areas are identified, and a number of publications in each area are highlighted for concrete illustration. Open questions and directions for further ACE research are also considered. The study concludes with a discussion of the potential benefits associated with ACE modeling, as well as some potential difficulties.