aesthetics relates to felt meaning generated from sensory perceptions, and involves subjective, tacit knowledge rooted in feeling and emotion. we believe the aesthetics of management is important, but little understood, aspect of organizational life. we propose that followers use their aesthetic senses in making these assessments. in this article we try to discover the role of aesthetic in man...

teacher autonomy is viewed very differently: one teacher may view autonomy as a means to gain substantial freedom from interference or supervision; another may view it as the freedom to develop collegial relationships and accomplish tasks that extend beyond the classroom; and even some others may perceive it as a means for principals to avoid their duties (frase and sorenson, 1992). although th...

We study on-line models for the set-covering problem in which items from a ground set arrive one by one and with any such item c, the list of names of sets that contain it in the final instance is also presented possibly together with some information regarding the content of such sets. A decision maker has to select which set, among the sets containing c, has to be put in the solution in order...

We consider the list access problem and show that one questionable assumption in the original cost model presented by Sleator and Tarjan 13] and subsequent literature allowed for several competitiveness results of the move-to-front rule (MTF). We present an oo-line algorithm for the list access problem and prove that, under a more realistic cost model, no on-line algorithm can be c-competitive ...

We address ad hoc teamwork, where an agent must coordinate with other agents in an unknown common task without pre-defined coordination. We formalize the ad hoc teamwork problem as a sequential decision problem and propose (i) the use of an online learning approach that considers the different tasks depending on their ability to predict the behavior of the teammate; and (ii) a decision-theoreti...

In an online decision problem, one makes decisions often with a pool of decisions’ sequence called experts but without knowledge of the future. After each step, one pays a cost based on the decision and observed rate. One reasonal goal would be to perform as well as the best expert in the pool. The modern and well-known way to attain this goal is the algorithm of exponential weighting. However,...

Blackwell approachability is an online learning setup generalizing the classical problem of regret minimization by allowing for instance multi-criteria optimization, global (online) optimization of a convex loss, or online linear optimization under some cumulative constraint. We consider partial monitoring where the decision maker does not necessarily observe the outcomes of his decision (unlik...

Online social networks usage are pervasive now a days. Mining the text present in online social networks will be useful for predictive analytic. Predicting information from unstructured data present in the social networks is a challenging research problem. Extracting, identifying or otherwise characterizing the sentiment content of the text unit using statistics and machine learning methods are...

Existing work on online learning for decision making takes the information available as a given and focuses solely on choosing the best actions given this information. Instead, in this paper, the decision maker needs to simultaneously learn both what decisions to make and what source(s) of information to consult/gather data from in order to inform its decisions such that its reward is maximized...