Hans Krebs' discovery, in 1932, of the urea cycle was a major event in biochemistry. This article describes a program, KEKADA, which models the heuristics Hans Krebs used in this discovery. KEKADA reacts to surprises, formulates explanations, and carries out experiments in the same manner as the evidence in the form of laboratory notebooks and interviews indicates Hans Krebs did. Furthermore, we answer a number of questions about the nature of the heuristics used by Krebs, in particular: How domain‐specific are (...) the heuristics? To what extent are they idiosyncratic to Krebs? To what extent do they represent general strategies of problem‐solving search?The relative generality of KEKADA allows us to view the control structure of KEKADA and its domain‐independent heuristics as a model of scientific experimentation that should apply over a broad domain. (shrink)

Claudette Kulkarni explores lesbian experience from a Jungian and feminist perspective, through interviews with women who see themselves as lesbians or who are in a lesbian relationship. Although a feminist treatment of the subject challenges the heterosexism of Jungian theory, the author presents a link between theory and experience that is consistent with both approaches. She concludes that when a woman finds herself loving another woman she is often responding to a profound psychological instinct to act, in spite of (...) internal conflict or external opposition, and that this is a significant move in the service of personal and collective individuation and a movement toward achieving self-understanding. (shrink)

In this companion to his best-selling translation of The Dhammapada, Eknath Easwaran explains how The Dhammapada is a perfect map for the spiritual journey. Said to be the text closest to the Buddha’s actual words, The Dhammapada is a collection of short teachings that his disciples memorized during his lifetime. Easwaran presents The Dhammapada as a guide to spiritual perseverance, progress, and ultimately enlightenment — a heroic confrontation with life as it really is, with straight answers to our deepest (...) questions. We witness the heartbreak of death, for instance — what does that mean for us? What is love? How does karma work? How do we follow the spiritual life in the midst of work and family? Does nirvana really exist, and if so, what is it like to be illumined? In his interpretation of Buddhist themes, illustrated with stories from the Buddha’s life, Easwaran offers a view of the concept of Right Understanding that is both exhilarating and instructive. He shares his experiences on the spiritual path, giving the advice that only an experienced teacher and practitioner can offer, and urges us to answer for ourselves the Buddha’s call to nirvana — that mysterious, enduring state of wisdom, joy, and peace. (shrink)

This paper addresses the conflicting environmental interests of a firm and the community, an important stakeholder. The short-term profit maximization objective of a firm may stand in contrast with what the community wants – a "safe and clean environment". This paper argues that the information regarding the environmental impact of a firm's products, processes, and waste may be asymmetrically distributed between the firm and the community. The resultant information asymmetry may influence the probability of a firm acting opportunistically, and ultimately, (...) a firm's ethical behavior. The paper identifies information asymmetry between a firm and community, as well as that within the community. The perceived information asymmetry across various community segments may perhaps be a determinant of environmental discrimination. The paper further contends that information asymmetry may diminish in the long run. Finally it examines the implications of information asymmetry for firms and government policy. (shrink)

This research investigates the nature of phatic communion in instant messaging interactions. It adopts and expands Jakobson’s much-quoted definition according to which ‘phatic’ is the language in an interaction whose primary purpose is to maintain contact between the speakers. Adapting conversation analysis for the study of textual interactions, the research observes the linguistic means used by interlocutors to signal attention, interest, and agreement – these being identified as important constituents of contact. The corpus comprises 60 chats, collected from 20 participants (...) who chat in a mixture of English and Indian languages such as Marathi and Hindi. Openings, middles, and closings of these interactions are analyzed to study the ways in which participants establish, maintain, and terminate contact. The use of various linguistic means in these interactions such as back-channels, evaluations, expressives, and questions draws attention to a significant amount of interactional work done by interlocutors towards maintaining contact. (shrink)

This paper critically examines moral contractarianism, a moral theory centred on rational agreements among self-interested individuals to establish moral rules and social norms. It explores the challenges faced by moral contractarianism while also highlighting its strengths. Major issues, such as accommodating justice and fairness within the contractarian framework, are discussed, along with other challenges. Additionally, the paper provides a brief discussion of moral contractualism (a theory similar to moral contractarianism in certain aspects), highlighting its strengths in addressing some of the (...) challenges faced by moral contractarianism while also discussing its limitations. The paper concludes by offering a revised framework of moral contractarianism that provides solutions to the major problems of injustice and partiality that the theory faces. (shrink)

On Ramchandra Dattatraya Ranade, 1886-1957, educationist and Indic philosopher.

As is well known, the Kāśikāvṛtti is the oldest extant rule-by-rule commentary on the Aṣṭādhyāyī of Pāṇini. Two major commentaries on it are available, the Nyāsa from the eighth century and the Padamañjarī, most likely from the eleventh century. In this article we focus on the term pradeśa, which is a familiar feature of the printed editions of the Kāśikāvṛtti on the sañjñā sūtras of the Aṣṭādhyāyī. A closer examination, however, shows that the sentence “Xpradeśāḥ — X... ity evamādayaḥ” is (...) not met with in either of the two commentaries. This has consequences for our understanding of the textual transmission of the Kāśikāvṛtti. (shrink)

In this article, we provide a tutorial overview of some aspects of statistical learning theory, which also goes by other names such as statistical pattern recognition, nonparametric classification and estimation, and supervised learning. We focus on the problem of two-class pattern classification for various reasons. This problem is rich enough to capture many of the interesting aspects that are present in the cases of more than two classes and in the problem of estimation, and many of the results can be (...) extended to these cases. Focusing on two-class pattern classification simplifies our discussion, and yet it is directly applicable to a wide range of practical settings. (shrink)

In _Reliable Reasoning_, Gilbert Harman and Sanjeev Kulkarni -- a philosopher and an engineer -- argue that philosophy and cognitive science can benefit from statistical learning theory, the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors -- a central topic in SLT. After discussing philosophical attempts to evade (...) the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT. (shrink)

Lectures delivered under the auspices of the University of Poona.

Normothermic Regional Perfusion (NRP) is increasingly being adopted as an intervention designed to improve organ utilization from donors after circulatory death because of the efficiency with which...

Prof Dr. Vaman Mahadev Kulkarni is a well-known Scholar, Teacher and Researcher in the field of Sanskrit and Prakrit Studies, especially, Poetics, Jainism and Manuscript-studies. This publicity-shy gentleman-scholar contributed his mite to the research fields from various angles. A Felicitation Volume in his honours was a long felt desideratum, in view of his solid and outstanding contributions, distinguishing him from other scholars in ways more than one.

Although evidence-based medicine (EBM) has gained prominence in current medical practice and research, it has also had to deal with a number of problems and inconsistencies. For example, how do clinicians reconcile discordant results of randomized trials or how do they apply results of randomized trials to individual patients? In an attempt to examine such problems in a structured way, this essay describes EBM within a philosophical framework of science. Using this approach, some of the problems and challenges faced by (...) EBM can be explained at a more fundamental level. As well, by employing a similar description of the competing alternative research tradition of clinical medicine, this essay not only highlights the philosophical differences between these two modes of medical practice, but suggests that they, in fact, play a de facto complementary role in current clinical medicine. (shrink)

In this paper, we develop a conceptual framework of the intra-firm transfer of best practices in moral reasoning by integrating three streams of literature: internal knowledge transfer in strategic management, moral reasoning and epistemology in philosophy and business ethics, and leader–member exchange in human resource management. We propose that characteristics of moral reasoning (nature of moral knowledge, tacitness of moral reasoning and causal ambiguity), source characteristics (moral development of leaders), target characteristics (integrity capacity and moral development of subordinates), leader–member exchange (...) and internal ethical climate influence the transfer of best practices in moral reasoning. (shrink)

The problem of induction is sometimes motivated via a comparison between rules of induction and rules of deduction. Valid deductive rules are necessarily truth preserving, while inductive rules are not.

This book is a collection of essays written by various authors including the editors of the collection, Phoebe V. Moore, Martin Upchurch, and Xanthe Whittaker. These essays deal with the current topics of monitoring of workers in the new gig economy, digitalization of the work, and use of big data for the restructuring of the workforce. This book examines how new forms of surveillance are being adopted into contemporary work. It draws from original empirical research engaging with existing and emerging (...) fields of social inquiry and discusses the occurrence of surveillance and new forms of measurement of work in a range of industries. (shrink)

Stochastic forecasts in complex environments can benefit from combining the estimates of large groups of forecasters (“judges”). But aggregating multiple opinions faces several challenges. First, human judges are notoriously incoherent when their forecasts involve logically complex events. Second, individual judges may have specialized knowledge, so different judges may produce forecasts for different events. Third, the credibility of individual judges might vary, and one would like to pay greater attention to more trustworthy forecasts. These considerations limit the value of simple aggregation (...) methods like linear averaging. In this paper, a new algorithm is proposed for combining probabilistic assessments from a large pool of judges. Two measures of a judge’s likely credibility are introduced and used in the algorithm to determine the judge’s weight in aggregation. The algorithm was tested on a data set of nearly half a million probability estimates of events related to the 2008 U.S. presidential election (∼ 16000 judges). (shrink)

Statistical Learning Theory (e.g., Hastie et al., 2001; Vapnik, 1998, 2000, 2006) is the basic theory behind contemporary machine learning and data-mining. We suggest that the theory provides an excellent framework for philosophical thinking about inductive inference.