In natural language understanding, a crucial goal is correctly interpreting open-textured phrases. In practice, disagreements over the meanings of open-textured phrases are often resolved through the generation and evaluation of interpretive arguments, arguments designed to support or attack a specific interpretation of an expression within a document. In this paper, we discuss some of our work towards the goal of automatically generating and evaluating interpretive arguments. We have curated a set of rules from the code of ethics of various professional (...) organizations and a set of associated scenarios that are ambiguous with respect to some open-textured phrase within the rule. We collected and evaluated arguments from both human annotators and state-of-the-art generative language models in order to determine the relative quality and persuasiveness of both sets of arguments. Finally, we performed a Turing test-inspired study in order to assess whether human annotators can tell the difference between human arguments and machine-generated arguments. The results show that machine-generated arguments, when prompted a certain way, can be consistently rated as more convincing than human-generated arguments, and to the untrained eye, the machine-generated arguments can convincingly sound human-like. (shrink)

A systematic and comprehensive introduction to the study of nonlinear dynamical systems, in both discrete and continuous time, for nonmathematical students and researchers working in applied fields. An understanding of linear systems and the classical theory of stability are essential although basic reviews of the relevant material are provided. Further chapters are devoted to the stability of invariant sets, bifurcation theory, chaotic dynamics and the transition to chaos. In the final two chapters the authors approach the subject from a measure-theoretical (...) point of view and compare results to those given for the geometrical or topological approach of the first eight chapters. Includes about one hundred exercises. A Windows-compatible software programme called DMC, provided free of charge through a website dedicated to the book, allows readers to perform numerical and graphical analysis of dynamical systems. Also available on the website are computer exercises and solutions to selected book exercises. See www.cambridge.org/economics/resources. (shrink)

Caliphate; Māwardī, ʻAlī ibn Muḥammad, 974?-1058; political and social views.

-- -- ḥeleḳ 3. Midot ṿe-hanhagot. Shut ha-minhag ka-halakhah.

This study examines the micro-level consequences of perceived corporate social responsibility and hypothesizes that perceived CSR affects the perception-emotion-attitude-behavior sequence. We hypothesized that perceived CSR affects organizational pride, affects affective commitment, and enhances the employees’ creative behaviors by using the lens of appraisal theory of emotion. This study also hypothesizes that the association of perceived CSR and employee creative behaviors is serially mediated by OP and AC. The time-lagged data were collected from employees of only those companies participating in CSR (...) activities to analyze the sequential mediation effect. We have tested the hypotheses of this study through Hayes approach. Results showed that perceived CSR kindles the employees’ creative behaviors. Furthermore, “organizational pride” and “affective commitment” serially mediate the association of perceived CSR and ECB. Hence, the hypothesized perception-emotion-attitude-behavior model received a significant support and demonstrated that micro-level positive consequences of CSR could be created through emotional, attitude, and behavioral mechanisms. The organization should promote their CSR activities using documentaries and contents to improve their perception of environmental and social issues, and it enhances employees’ pride and creativity. (shrink)

Ḥelek 2. Toroto shel Rabenu bi-lesh. ha-ḳ. ... maʼamarim shonim be-Idish ... sheʼelot u-teshuvot ba-ʻavodat ha-Sh. yit ... shivḥo shel tsadiḳ.

ḥeleḳ 1. Pirḳe ʻiyun be-gidre mitsṿat ha-biṭaḥon be-mishnato shel Baʻal Ḥovot ha-levavot.

1. Lo taḥamod. Lo titʼaṿeh. Lo taḥanifu. Isur genevat daʻat. Lo teḳalel. Lo tiḳom ṿe-lo tiṭor -- ḥeleḳ 2. Lo tiśna ṿa-ahavat le-reʻakha. Ahavat ha-ger -- ḥeleḳ 3. Onaʼat devarim. Hilkhot panim. Onaʼat ha-ger -- ḥeleḳ 4. Isur hakaʼah. Mitsṿot maʻaḳeh. Shemirat ha-guf -- ḥeleḳ 6. Kibud av ṿe-em. Kibud melamde ha-Torah ve-ḥakhameha. Kibud kohen.

Like number representation, basic arithmetic seems to be a natural candidate for abstract instantiation in the brain. To investigate this, researchers have examined effects of numeral format on elementary arithmetic (e.g., 4+5 vs. four+five). Different numeral formats often recruit distinct processes for arithmetic, reinforcing the conclusion that number processing is not necessarily abstracted away from numeral format.