We study density-dependent resource harvest patterns due to Bayesian foraging for different distributions of resources. We first consider a forager with information about the stochastic properties of its environment. In this case we show that when the number of food items per patch follows a distribution from the exponential family, the density dependence is given by the ratio sigma2/μ of th...

We study the local factor at p of the semi-simple zeta function of a Shimura variety of Drinfeld type for a level structure given at p by the pro-unipotent radical of an Iwahori subgroup. Our method is an adaptation to this case of the Langlands-Kottwitz counting method. We explicitly determine the corresponding test functions in suitable Hecke algebras, and show their centrality by determining...

Estimation of L norms of Fourier multipliers is known to be hard. It is usually connected to some interesting types of PDE, see several such PDE for several Fourier multipliers on the line in a recent paper of Kalton and Verbitsky [13]. Sometimes, but much more rarely, one can establish sharp L estimates for Fourier multipliers in several variables. Riesz transforms are examples of success. The...

This paper describes security protocols that use anonymous channels as primitive, much in the way that key distribution protocols take encryption as primitive. This abstraction allows us to focus on high level anonymity goals of these protocols much as abstracting away from encryption clari es and emphasizes high level security goals of key distribution protocols. The contributions of this pape...

This paper presents the TASK framework which is intended to cover the life cycle of a Knowledge-Based System. TASK provides (i) a conceptual language which enable an informal specification at the knowledge level, (ii) a formal language TFL which permits an unambiguous specification and (iii) an operational shell TASK+ which allows an efficient execution even for bad structured problems. This pa...

As firms increasingly seek out consumers’ ideas in various domains, they will encounter individuals with different levels of domain-specific knowledge. While both lowand high-knowledge consumers may be willing to share their ideas benevolently, the performance of the former is likely to be hindered by their lack of relevant knowledge in the problem domain. It is also well established that, desp...

Background: Production, distribution and application of knowledge are considered as the most institutionalized element and raison d’être of universities and higher education institutions, and the knowledge is recognized as the main output of universities. Therefore, this research examines the components of knowledge management from the point of view of the faculty members of De...

Neural machine translation (NMT) offers a novel alternative formulation of translation that is potentially simpler than statistical approaches. However to reach competitive performance, NMT models need to be exceedingly large. In this paper we consider applying knowledge distillation approaches (Bucila et al., 2006; Hinton et al., 2015) that have proven successful for reducing the size of neura...

This paper proposes a two-level model that integrates tense and aspect information, based on theories by both Hornstein (in the spirit of Reichenbach) and Allen, with lexicai-semantic information based on an extended version of $ackendoff's theory that includes a verb classification system proposed by Dowty and Vendler. The model is intended to be extensible to realms outside of the temporal do...