In this paper we present and evaluate an adaptive, semantic-based framework for monitoring citizen satisfaction from e-government services. The framework has been realized in a system (SALT) which captures the citizen behavior and applies three axes of adaptation: based on previously gathered data from the citizen through questionnaires, based on problems encountered by the citizen and based on metadata of the pages visited by the citizen. The comparative evaluation to a similar but static approach, gives evidence to our hypothesis that the proposed framework brings added value to both citizens and public administrations. (C) 2009 Elsevier Ltd. All rights reserved.
This article presents a new adaptive framework for understanding children's growth in the past. Drawing upon the recent work on adaptive responses in relation to growth, it presents prenatal and postnatal adaptive mechanisms that affect the growth patterns of children. The most novel adaptive response to the historical literature is the prenatal predictive adaptive response where the metabolism and growth trajectory of a child is programmed to match predicted conditions later in life. Having discussed the framework in detail, a reinterpretation of the growth pattern of American slaves is then suggested. It seems likely that a mismatch between relatively good conditions in utero and absolutely appalling conditions in infancy and early childhood led slave children to become extremely stunted by the age of three or four. However, after this age, slave children experienced catch‐up growth because their immune systems had become more developed and because their diet improved tremendously and hookworm exposure was reduced. Thus, it seems that American slave children may have experienced substantial catch‐up growth because they were prenatally programmed for a higher metabolism and growth trajectory. The article concludes by setting out some stylized facts about children's growth in the past and pointing toward areas of future research.
This exploratory review of the literature provides a comprehensive overview of the settings that are available to the planner when managing participatory strategic planning of spatial socio-economic development on the local level. We contextualize individual potential configurations of participation in local development planning practice, documented in a number of case studies from different parts of the world, in order to reflect the multidimensionality of the participatory planning process. These reflections are used to build a participation plan model, which aimed to help local planners, especially local governments, to optimize the participation of local stakeholders, according to the specifics of the local environment. The paper evaluates the options of planners to manage the participation from perspective of the organization of participation, the determination of its scope, selection of stakeholders, methods and techniques of communication, decision-making and visualization, as well as the deployment of resources, or the possibility of promotion and dissemination of information. As a practical implication of this review, we compose a participation matrix, which is intended to be an auxiliary tool for planners to establish own locally-specific participation plans and that can serve as tool for education, or life-long learning of planners.
Organizations suffer more than ever from the inability to securely manage the information system, despite their myriad efforts. By introducing a real cyberattack of a bank, this research analyzes the characteristics of modern cyberattacks and simulates the dynamic propagation that makes them difficult to manage. It develops a self-adaptive framework that through simulation, distinctly improves cyberdefense efficiency. The results illustrate the discrepancies of the previous studies and validate the use of a time-based self-adaptive model for cybersecurity management. The results further show the significance of human and organizational learning effects and a coordination mechanism in obtaining a highly dependable cyberdefense setting. This study also provides an illuminating analysis for humans to position themselves in the collaborations with increasingly intelligent agents in the future.
In: Benson, M. H., R. R. Morrison and M. C. Stone (2013). "A Classification Framework for Running Adaptive Management Rapids." Ecology and Society 18 (3):30
Trabajo presentado a la International Conference on Social Robotics (ICSR), celebrada en Kansas (USA) del 1 al 3 de noviembre de 2016. ; The deployment of robots at home must involve robots with pre-defined skills and the capability of personalizing their behavior by non-expert users. A framework to tackle this personalization is presented and applied to an automatic feeding task. The personalization involves the caregiver providing several examples of feeding using Learning-by-Demostration, and a ProMP formalism to compute an overall trajectory and the variance along the path. Experiments show the validity of the approach in generating different feeding motions to adapt to user¿s preferences, automatically extracting the relevant task parameters. The importance of the nature of the demonstrations is also assessed, and two training strategies are compared. ; This work has been supported by the MINECO project RobInstruct TIN2014-58178-R and the ERA-Net CHIST-ERA project I-DRESS PCIN-2015-147. Gerard Canal is also supported by the Ministry of Economy and Knowledge of the Government of Catalonia via a FI-DGR 2016 fellowship. ; Peer Reviewed
Purpose Changing scattered and dynamic business rules in business workflow systems has become a growing problem that hinders the use and configuration of workflow-based applications. There is a gap in the existing research studies which currently focus on solutions that are application specific, without accounting for the universal logical dependencies between the business rules and, as a result, do not support adaptation of the business rules in real time. The paper aims to discuss this issue.
Design/methodology/approach To tackle the above problems, this paper adopts a bottom-up approach, which puts forward a component model of the business process workflows and then adds business rules which have clear logical semantics. This allows incremental development of the workflows and semantic indexing of the rules which govern them during the initial acquisition.
Findings The paper introduces an event-driven model for development of business workflows which is purely logic-based and can be easily implemented using an object-oriented technology, together with a model of the business rules dependencies which supports incremental semantic indexing. It also proposes a two-level inference mechanism as a vehicle for controlling the business process execution and the process of adaptation of the business rules at real time based on propagating the dependencies.
Research limitations/implications The framework is strictly logical and completely domain-independent. It allows to account both synchronous and asynchronous triggering events as well as both qualitative and quantitative description of the conditions of the rules. Although our primary interest is to apply the framework to the business processes typical in the construction industry we believe our approach has much wider potential due to its strictly logical formalization and domain independence. In fact it can be used to control any business processes where the execution is governed by rules.
Practical implications The framework could be applied to both large business process modelling tasks and small but very dynamic business processes like the typical digital business processes found in online banking or e-Commerce. For example, it can be used for adjusting security policies by adding the capability to adapt automatically the access rights to account for additional resources and new channels of operation which can be very interesting ion both B2C and B2B applications.
Social implications The potential scope of the impact of the research reported here is linked to the wide applicability of rule-based systems in business. Our approach makes it possible not only to control the execution of the processes, but also to identify problems in the control policies themselves from the point of view of their logical properties – consistency, redundancies and potential gaps in the logics. In addition to this, our approach not only increases the efficiency, but also provides flexibility for adaptation of the policies in real time and increases the security of the overall control which improves the overall quality of the automation.
Originality/value The major achievement reported in this paper is the construction of a universal, strictly logic-based event-driven framework for business process modelling and control, which allows purely logical analysis and adaptation of the business rules governing the business workflows through accounting their dependencies. An added value is the support for object-oriented implementation and the incremental indexing which has been possible thanks to the bottom-up approach adopted in the construction of the framework.
This article explores how complexity theory can help marketers to understand a market and to operate within it. Essentially, it argues that complexity theory has the potential to provide both global and some local explanations of markets and is complementary to local theories like relationship marketing that may be more familiar to marketing managers. It establishes four types of complex systems that might be used to model social systems. Of these four types, complex adaptive systems seem most appropriate to describe markets. This is illustrated in an investigation of Honda in the global automobile industry. Implications for marketing managers centre on the need to understand feedback loops at many levels of a path‐dependent system that are inherently difficult to predict and control.
Adaptive governance focuses our attention on the relationships between science and management, whereby the so-called 'gaps' between these groups are seen to hinder effective adaptive responses to biophysical change. Yet the relationships between science and governance, knowledge and action, remain under theorized in discussions of adaptive governance, which largely focuses on abstract design principles or preferred institutional arrangements. In contrast, the metaphor of co-production highlights the social and political processes through which science, policy, and practice co-evolve. Co-production is invoked as a normative goal (Mitchell et al., 2004) and analytical lens (Jasanoff, 2004a and Jasanoff, 2004b), both of which provide useful insight into the processes underpinning adaptive governance. This paper builds on and integrates these disparate views to reconceptualize adaptive governance as a process of co-production. I outline an alternative conceptual framing, 'co-productive governance', that articulates the context, knowledge, process, and vision of governance. I explore these ideas through two cases of connectivity conservation, which draws on conservation science to promote collaborative cross-scale governance. This analysis highlights the ways in which the different contexts of these cases produced very different framings and responses to the same propositions of science and governance. Drawing on theoretical and empirical material, co-productive governance moves beyond long standing debates that institutions can be rationally crafted or must emerge from context resituate adaptive governance in a more critical and contextualized space. This reframing focuses on the process of governance through an explicit consideration of how normative considerations shape the interactions between knowledge and power, science and governance. ; This research was funded by a Land and Water Australia PhD scholarship and a top-up scholarship from the CSIRO Climate Adaptation Fund.
Adaptive governance focuses our attention on the relationships between science and management, whereby the so-called 'gaps' between these groups are seen to hinder effective adaptive responses to biophysical change. Yet the relationships between science and governance, knowledge and action, remain under theorized in discussions of adaptive governance, which largely focuses on abstract design principles or preferred institutional arrangements. In contrast, the metaphor of co-production highlights the social and political processes through which science, policy, and practice co-evolve. Co-production is invoked as a normative goal (Mitchell et al., 2004) and analytical lens (Jasanoff, 2004a and Jasanoff, 2004b), both of which provide useful insight into the processes underpinning adaptive governance. This paper builds on and integrates these disparate views to reconceptualize adaptive governance as a process of co-production. I outline an alternative conceptual framing, 'co-productive governance', that articulates the context, knowledge, process, and vision of governance. I explore these ideas through two cases of connectivity conservation, which draws on conservation science to promote collaborative cross-scale governance. This analysis highlights the ways in which the different contexts of these cases produced very different framings and responses to the same propositions of science and governance. Drawing on theoretical and empirical material, co-productive governance moves beyond long standing debates that institutions can be rationally crafted or must emerge from context resituate adaptive governance in a more critical and contextualized space. This reframing focuses on the process of governance through an explicit consideration of how normative considerations shape the interactions between knowledge and power, science and governance. ; This research was funded by a Land and Water Australia PhD scholarship and a top-up scholarship from the CSIRO Climate Adaptation Fund.
