Leading knowledge-workers through situated ambiguity

The paper explores how formal leaders make sense of and deal with autonomy of knowledge-workers. Based on interviews, I suggest that leaders make sense of knowledge-workers’ autonomy as ranging from perfectly autonomous to too autonomous to less independent to acting childish. This ambiguity was dealt with by making sense of leading as ranging from facilitative and supportive approaches to more controlling, even reprimanding acts. This empirical investigation of constructions of ‘leader/ship’ and ‘followers’ contributes to leader/ship-follower/ship literature. The paper’s contribution to theory lies in the notion of situated ambiguity; a way to understand the emerging way through which formal leaders navigate and smoothly move between their own differing perspectives, different practical situations, various culturally acceptable understandings of leaders and knowledge-workers.     

Regular economies with ambiguity aversion

We consider a family of exchange economies with complete markets where consumers have multiprior preferences representing their ambiguity aversion. Under a linear independence assumption, we prove that regular economies are generic. Regular economies exhibit enjoyable properties: odd finite number of equilibrium prices, local constancy of this number, local differentiable selections of the equilibrium prices.Thus, even if ambiguity aversion is represented by non-differentiable multiprior preferences, economies retain generically the properties of the differentiable approach.     

Performance and learning in an ambiguous environment: A study of cryptocurrency traders

We investigate the performance and learning ability of traders in an environment governed by ambiguity, such as the cryptocurrency market. Using a profit decomposition methodology, we find significant cross-sectional and temporal heterogeneity in performance. Traders do not learn to progressively increase the magnitude of returns; however, they are able to improve on their ability to realise profits as a mechanism of adaptation to survive through ambiguity. This adaptation increases as traders progress through their career. Moreover, we find evidence in support of the gambler’s fallacy. We argue that learning in ambiguous environments has limitations, allowing traders primarily to survive.     

DECISION THEORY UNDER AMBIGUITY

Abstract We review recent advances in the field of decision making under uncertainty or ambiguity. We start with a presentation of the general approach to a decision problem under uncertainty, as well as the ‘standard’ Bayesian treatment and issues with this treatment. We present more general approaches (Choquet expected utility, maximin expected utility, smooth ambiguity and so forth) that have been developed in the literature under the name of models of ambiguity sensitive preferences. We draw a distinction between fully subjective models and models incorporating explicitly some information. We review definitions and characterizations of ambiguity aversion in these models. We mention the challenges posed by some of the models presented. We end with a review of part of the experimental literature and applications of these models to economic settings.     

Maxmin expected utility with additivity on unambiguous events

This paper provides a model of beliefs representation in which ambiguity and unambiguity are endogenously distinguished in the maxmin expected utility model of Gilboa and Schmeidler (1989). Specifically, I first extend it by getting a representation of beliefs such that the probabilistic beliefs over each ambiguous event are represented by a nondegenerate interval, while the ones over each unambiguous event are represented by a number. I then suggest a behavioral definition of ambiguity. It provides a choice theoretical foundation for the Knightian distinction between ambiguity and unambiguity.     

利用模糊理论对单脉冲雷达天线副瓣的自动识别及跟踪

本文讨论了根据单脉冲雷达的特点及跟踪过程，运用模糊综合评判、模糊数据库、模糊控制的原理对单脉冲雷达系统的天线进行副瓣自动识别及跟踪的方法，经过仿地具试验初步验证该方法是可行的。     

Portfolio selection with two-stage preferences

We propose a model of portfolio selection under ambiguity, based on a two-stage valuation procedure which disentangles ambiguity and ambiguity aversion. The model does not imply “extreme pessimism” from the part of the investor, as multiple priors models do. Furthermore, its analytical tractability allows to study complex problems thus far not analyzed, such as joint uncertainty about means and variances of returns.