The standard view in epistemology is that propositional knowledge entails belief. Positive arguments are seldom given for this entailment thesis, however; instead, its truth is typically assumed. Against the entailment thesis, Myers-Schulz and Schwitzgebel (forthcoming) report that a non trivial percentage of people think that there can be propositional knowledge without belief. In this paper, ...

This paper presents an approach on how to identify and design adaptable logistics chains configurations. Logistics chains are mostly influenced by changes in their business environment. A system’s adaptability is seen as one potential to effectively counteract these environmental changes. To consider the effects of adaptability on the whole supply chain, a framework for configuring adaptable lo...

The co-immobilization of Aspergillus niger glucose oxidase (GOD) with bovine liver catalase (CAT) onto florisil (magnesium silicate-based porous carrier) was investigated to improve the catalytic efficiency of GOD against H2O2 inactivation. The effect of the amount of bound CAT on the GOD activity was also studied for 12 different initial combinations of GOD and CAT, using simultaneous and sequ...

The need to belong can motivate belief in God. In Study 1, 40 undergraduates read bogus astrophysics articles "proving" God's existence or not offering proof. Participants in the proof-for-God condition reported higher belief in God (compared to control) when they chronically imagined God as accepting but lower belief in God when they imagined God as rejecting. Additionally, in Study 2 (72 unde...

Experimental studies of the cultural evolution of language have focused on how constraints on learning and communication drive emergence of linguistic structure. Yet language is typically transmitted by experts who adjust the input in ways that facilitates learning by novices, e.g. through child-directed speech. Using iterated language learning of binary auditory sequences, we explored how lang...

The automatic induction of scripts (Schank and Abelson, 1977) has been the focus of many recent works. In this paper, we employ a variety of these methods to learn Schank and Abelson’s canonical restaurant script, using a novel dataset of restaurant narratives we have compiled from a website called “Dinners from Hell.” Our models learn narrative chains, script-like structures that we evaluate w...