751,389 research outputs found

    INTERSUBJECTIVE CONSISTENCY OF BELIEFS AND THE LOGIC OF COMMON BELIEF

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    We characterize the class of n-person belief systems for which common belief has the properties of the strongest logic of belief, KD45. The characterizing condition states that individuals are not too mistaken in their beliefs about common beliefs. It is shown to be considerably weaker than the consistency condition on interpersonal beliefs implied by the common knowledge assumption: it allows individuals to ""agree to disagree"" and to be quite incorrect about others7 beliefs.

    Old and new ideas about the environment and science: an exploratory study

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    Using the framework of social representations theory, this article examines predictors of two belief systems linking beliefs about the environment with beliefs about scientific knowledge. In a survey study with 460 Portuguese respondents, the following four hypotheses were tested: (a) New ecological beliefs were expected to receive higher levels of agreement than old anthropocentric ones, (b) social identities (not only objective positions) were expected to be important predictors of respondents’ beliefs, and (c) the explanatory power of social identity variables was expected to be higher for those beliefs receiving lower levels of agreement (d) and for respondents expressing coherent representations. Analyses reconstructed two belief systems: prudence, linking new ecological ideas with a relativist view of science, and confidence, linking old anthropocentric ideas with a positivist view of science. Results support the hypothesis and show that although these systems can be viewed as contradictory, some respondents manage to agree with both

    Stigmergic epistemology, stigmergic cognition

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    To know is to cognize, to cognize is to be a culturally bounded, rationality-bounded and environmentally located agent. Knowledge and cognition are thus dual aspects of human sociality. If social epistemology has the formation, acquisition, mediation, transmission and dissemination of knowledge in complex communities of knowers as its subject matter, then its third party character is essentially stigmergic. In its most generic formulation, stigmergy is the phenomenon of indirect communication mediated by modifications of the environment. Extending this notion one might conceive of social stigmergy as the extra-cranial analog of an artificial neural network providing epistemic structure. This paper recommends a stigmergic framework for social epistemology to account for the supposed tension between individual action, wants and beliefs and the social corpora. We also propose that the so-called "extended mind" thesis offers the requisite stigmergic cognitive analog to stigmergic knowledge. Stigmergy as a theory of interaction within complex systems theory is illustrated through an example that runs on a particle swarm optimization algorithm

    A BELIEF-DRIVEN DISCOVERY FRAMEWORK BASED ON DATA MONITORING AND TRIGGERING

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    A new knowledge-discovery framework, called Data Monitoring and Discovery Triggering (DMDT), is defined, where the user specifies monitors that âwatch" for significant changes to the data and changes to the user-defined system of beliefs. Once these changes are detected, knowledge discovery processes, in the form of data mining queries, are triggered. The proposed framework is the result of an observation, made in the previous work of the authors, that when changes to the user-defined beliefs occur, this means that, there are interesting patterns in the data. In this paper, we present an approach for finding these interesting patterns using data monitoring and belief-driven discovery techniques. Our approach is especially useful in those applications where data changes rapidly with time, as in some of the On-Line Transaction Processing (OLTP) systems. The proposed approach integrates active databases, data mining queries and subjective measures of interestingness based on user-defined systems of beliefs in a novel and synergetic way to yield a new type of data mining systems.Information Systems Working Papers Serie

    A Comparative Study of Culture and Cultural Heritage in Humanitarian Aid Efforts: Post-Earthquake Haiti and Post-Tsunami Aceh

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    This thesis explores how cultural knowledge, beliefs, and practices affected the humanitarian aid response to disasters in Haiti and Aceh Province, Indonesia. It examines the importance of local knowledge in post-disaster response situations and how aid workers\u27 expertise interplays with local knowledge, decision-making structures, and leadership. I questioned how knowledge of cultural practices could contribute to a more effective humanitarian aid approach and identified housing, social institutions and local leadership, economic systems, religious belief and practice as primary focuses. Examples detail how cultural beliefs and practices - as well as cultural heritage - may be vehicles for social stability and advance recovery in the social and economic spheres

    Change Of Routines: A Multi-Level Analysis

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    This paper analyses how organizational routines change. It focuses on the level of learning groups within organizations. The paper starts with a summary of the 'activity theory' of knowledge used. Next, the notion of scripts is used, to analyse organizational groups as 'systems of distributed cognition', and to identify different levels of routines and their change. Finally, the paper looks at communication routines or rules needed for different levels of change, in the formation of new 'shared beliefs'.organizational change;organizational learning;evolution;routines;scripts

    Health : sculptured by the hands of culture : exploring the Ecuadorian worldview of health : a thesis presented in partial fulfilment of the requirements for the degree of Master of Philosophy of Development Studies at Massey University, New Zealand

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    Worldview is at the core of our being, providing the filter that gives form to our beliefs, values and behaviour. Each culture and country has its unique perspective in such vital areas such as health and wellbeing. In the global context, where 'health for all' is more a dream than reality, the challenge is to grasp the conceptual understanding of health in each context, to dialogue with the culture, and look for creative ways of meeting health needs. This thesis is part of my journey to achieve an understanding of this, in the context of Ecuador. The essence of this study is an exploration of the Ecuadorian context. How is health conceptualised within the culture? Is there a worldview of health? Are there areas of commonality of beliefs and practices in health? What are some of the historical events and processes that have formed this way of understanding? What has the ways of seeing health in Ecuador's current context? This thesis presents the experiences and knowledge collected during five months of focussed research and two years of lived experiences in Ecuador. It is very much a journey of discovery for the researcher and participants. The research methodology gives voice to the stories of four participatory groups and five in-depth interviews, which allowed the participants to share their knowledge and experience of health. Through the process of reviewing literature on the beliefs and practices throughout various non-western systems of healing, a number of elements were found common to all. These include: the interrelated nature of the physical and spiritual realms; the concept of self and community; origins of unwellness and health seeking practices; food and food practices; syncretism and the concept of body image. The stories of the participants reveal some of their beliefs and practices of health. Despite the wealth of cultural origins, climatic and contextual variety presented in Ecuador, nine themes emerge from the participants' stories, as common to their beliefs and practices of health: nature's healers, traditional sicknesses, the path of tradition, common sicknesses and causes of death, the therapeutic route, you are well if you look happy, of divine descent but humanly frail, no health without money, the path of tradition, and an acute awareness of the state of health. Together these portray a fascinating insight into part of the Ecuadorian worldview of health

    Epistemic beliefs as a determinant in evidence-based practice in physiotherapy–a multi-country (Europe) cross-sectional online survey study

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    Purpose: This article assumes that, in order to improve evidence-based practice in physiotherapy, practitioners need sophisticated epistemic beliefs. Epistemic beliefs, or how physiotherapists view knowledge and how they come to this knowledge, are an important factor. A high sophistication of epistemic beliefs is linked to better handling of the complexity and uncertainty of daily practice and the variety of evidence resources associated with this practice. Materials and methods: This study explored the epistemic beliefs of physiotherapists in 10 different countries in Europe using an online survey: the Connotative Aspects of Epistemic Beliefs (CAEB). Results and conclusions: The study resulted in 1419 surveys. The epistemic beliefs proved to be of little difference between countries, showing a low to moderate sophistication in epistemic beliefs. Given the similar results between countries, this study also suggested the possibility of collaborating internationally in developing an epistemology in physiotherapy that is more suited to the complexity of current demands on health systems. The development of sophistication in epistemic beliefs should be firmly on the agenda for the education of physiotherapists.info:eu-repo/semantics/acceptedVersio

    Learning without Recall: A Case for Log-Linear Learning

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    We analyze a model of learning and belief formation in networks in which agents follow Bayes rule yet they do not recall their history of past observations and cannot reason about how other agents' beliefs are formed. They do so by making rational inferences about their observations which include a sequence of independent and identically distributed private signals as well as the beliefs of their neighboring agents at each time. Fully rational agents would successively apply Bayes rule to the entire history of observations. This leads to forebodingly complex inferences due to lack of knowledge about the global network structure that causes those observations. To address these complexities, we consider a Learning without Recall model, which in addition to providing a tractable framework for analyzing the behavior of rational agents in social networks, can also provide a behavioral foundation for the variety of non-Bayesian update rules in the literature. We present the implications of various choices for time-varying priors of such agents and how this choice affects learning and its rate.Comment: in 5th IFAC Workshop on Distributed Estimation and Control in Networked Systems, (NecSys 2015
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