According to the Navya Naiyāyikas, inference is the knowledge, which is produced out of consideration. But what is to be understood by the term ‘consideration’ or ‘parāmarśa’? According to them, parāmarśa or consideration is the factor through the operation of which the inferential conclusion can be attained. Parāmarśa has been defined as the knowledge of the existence of the hetu or reason in the pakṣa or subject, which reason is characterized by its being concomitant with the sādhya, the knowledge in (...) the form of parāmarśa is actually caused by the knowledge of invariable concomitance of probans (hetu) with the probandum (sādhya) and the knowledge of the existence of the hetu in the subject (pakṣa). It has been said by Viśvanātha that the cognition of the existence of probans or hetu in the subject of inference along with the cognition of the prabans or hetu as pervaded by sādhya is called parāmarśa (pakṣasya vyāpyavṛttitvadhīḥ parāmarśa ucyate). The invariable co-existence in the form ‘where there is smoke, there is fire’ is known as vyāpti or invariable concomitance. Here the invariable coexistence (avyabhicārī sāhacarya) between the probans and probandum (i.e., smoke and fire) is the definition of vyāpti. The term ‘co-existence’ means remaining in the same locus of the probans with the probandum, which is not the counter positive of the absolute negation existing in the locus of the hetu. To Gangeśa, the knowledge of the co-existence of the probans and probandum along with the absence of the knowledge of deviation of the probans is the cause of ascertaining vyāpti. Repeated observations, of course, sometimes act as a promoter (prayojaka) in ascertaining vyāpti by removing the doubt of deviation. The doubt of deviation can be removed sometimes by Tarka or sometimes by the absence of the collocation of causes of doubt, which is called svataḥsiddhaḥ. Gangeśa admits sāmānyalakṣaṇā as a pratyāsatti in ascertaining vyāpti between smoke-in-general and fire-in-general. To him, the super-normal connection through universal (sāmānyalakṣaṇā pratyāsatti) has got a prominent role in ascertaining vyāpti. If somebody challenges about the validity of the syllogistic argument in the form “The mountain is fiery as it possesses smoke” (parvato vahnimān dhūmāt), the philosophers of Nyāya and Navya-nyāya persuasion will justify the same with the help of five constituents (avayava-s). The process is called parāthānumāna (syllogistic argument for making others understand). The constituents of a syllogism are proposition (pratijňā), reason (hetu), example (udāharaṇa), application (upanaya), and conclusion (nigamana). (shrink)

This Book Is The Result Of Intensive And Critical Study Of The Different Aspects Of Indian Epistemology Viz. The Nyaya Theory Of Perception, Some Problems Of Meaning In Purva-Mimamsa And Vedanta, Problem Of Vyapti According To Jaina-Logicians And Vallabhacarya Etc.

Papers presented at the National Seminar on Language, Interpretation and Understanding: Hermeneutics from East-West Perspective, held in 2005 at the University of North Bengal in India.

The present paper shows whether there is cognition without any content. Generally, “cognition” means “cognition of something.” But in the Advaita Vedanta system of philosophy there is pure knowledge having no content called contentless cognition leading to certain philosophical problems.

Product Dimensions: 8.6 x 5.6 x 1.1 inches Description: Very little is known about the author of this book apart from the facts that he is a retired Government of India officer, now in his late nineties, apparently hoary, but healthy. When requested for more bio-data, he wrote back…The Real author of the Original Yoga is the Lord Siva. In the mundane world, Patanjali is the prime propagator of yoga. Any other claim to authorship, therefore, cannot but be spurious. …It (...) is Truth that matters, not the utterer of the Truth. No Truth ever becomes a bit truer even when repeated by the most distinguished person. …Hence all genuine aspirants of yoga should be content to remain unknown and unnoticed by others. His other published work is Hindu Concept of Life and Death. (shrink)

Study of Śivapurāṇa, Hindu mythological text.

Biography of Swami Dayananda Sarasvati, 1824-1883, founder of the Arya Samaj.

Chidambaram Ramalingam (1823 – 1874) was a nineteenth century Indian-Tamilian poet, mystic, and visionary moral thinker well-known for his seminal contributions to Tamil religious and moral literature. He initiated a new moral and spiritual community and movement, Suddha Sanmargam, or “The Pure Path to True Harmony”, in the nineteenth century in the province of Tamilnadu in Southern India. One of Ramalingam’s texts which laid the philosophical foundation for this community and movement is his great unfinished essay “The Ethic of Compassion (...) for Sentient Beings”. In this talk, I will attempt a systematic presentation of the moral vision and ethical system in his essay. Among Ramalingam’s central claims are the following: a) Compassion involves understanding or discernment of the ultimate metaphysical truth pertaining to sentient beings, b) Compassion is the foundation of all other moral virtues, c) Compassion provides the standard of the moral worth of actions, d) Compassion is the basis of morality itself, and e) Compassion is an essential condition of attaining spiritual liberation or enlightenment. In my talk, I will clarify, develop, and critically examine these five theses on compassion and consider relevant views and objections in the Western and Asian philosophical traditions. (shrink)

This paper will present an alternative to the mainstream Western approach to human development. The mainstream Western approach to human development does not countenance contemplative interiority as a means of cognitive inquiry and a domain of cognitive value. Hence, its conception of human development is narrowly confined to the domain of formal-operational thinking and its application to material exteriority. The alternative I will present is the work of the twentieth Indian philosopher Aurobindo (1872–1950) whose integral theory of human of development (...) inclusively countenances as realms of cognitive inquiry and value both contemplative interiority and formal-operational thinking and its application to material exteriority. The structure of Aurobindo’s integral theory of humandevelopment will be clarified and some of its implications for educational practice will be explored. (shrink)

Comprehensive study on the new approach of the education policy of the Government of India, in comparison with the integral education of Aurobindo Ghose, 1872-1950.

Since the conceptualization of unethical pro-organizational behavior ten years ago, scholarly interest in exploring this phenomenon has multiplied. Given a burgeoning body of empirical research, a review of unethical pro-organizational behavior literature is warranted. This study, therefore, systematically reviews the extant literature on unethical pro-organizational behavior and presents a comprehensive theory-based review of the past developments in this field. We classify previous studies based on their underlying theoretical perspectives and discuss the antecedents and consequences of unethical pro-organizational behavior in work (...) context. We also explicate the boundary conditions under which the influence of these antecedents gets accentuated or alleviated. Overall, this study synthesizes past knowledge to elucidate why, how, and when unethical pro-organizational behavior unfolds in the workplace. Finally, the gaps in the extant theorization are identified and an agenda for future research is proposed. (shrink)

In the domain of legal information retrieval, an important challenge is to compute similarity between two legal documents. Precedents play an important role in The Common Law system, where lawyers need to frequently refer to relevant prior cases. Measuring document similarity is one of the most crucial aspects of any document retrieval system which decides the speed, scalability and accuracy of the system. Text-based and network-based methods for computing similarity among case reports have already been proposed in prior works but (...) not without a few pitfalls. Since legal citation networks are generally highly disconnected, network based metrics are not suited for them. Till date, only a few text-based and predominant embedding based methods have been employed, for instance, TF-IDF based approaches, Word2Vec and Doc2Vec based approaches. We investigate the performance of 56 different methodologies for computing textual similarity across court case statements when applied on a dataset of Indian Supreme Court Cases. Among the 56 different methods, thirty are adaptations of existing methods and twenty-six are our proposed methods. The methods studied include models such as BERT and Law2Vec. It is observed that the more traditional methods that rely on a bag-of-words representation performs better than the more advanced context-aware methods for computing document-level similarity. Finally we nominate, via empirical validation, five of our best performing methods as appropriate for measuring similarity between case reports. Among these five, two are adaptations of existing methods and the other three are our proposed methods. (shrink)

We discuss a simple logic to describe one of our favourite games from childhood, hide and seek, and show how a simple addition of an equality constant to describe the winning condition of the seeker makes our logic undecidable. There are certain decidable fragments of first-order logic which behave in a similar fashion and we add a new modal variant to that class of logics. We also discuss the relative expressive power of the proposed logic in comparison to the standard (...) modal counterparts. (shrink)

When agents know a protocol, this leads them to have expectations about future observations. Agents can update their knowledge by matching their actual observations with the expected ones. They eliminate states where they do not match. In this paper, we study how agents perceive protocols that are not commonly known, and propose a semantics-driven logical framework to reason about knowledge in such scenarios. In particular, we introduce the notion of epistemic expectation models and a propositional dynamic logic-style epistemic logic for (...) reasoning about knowledge via matching agentsÊ expectations to their observations. It is shown how epistemic expectation models can be obtained from epistemic protocols. Furthermore, a characterization is presented of the effective equivalence of epistemic protocols. We introduce a new logic that incorporates updates of protocols and that can model reasoning about knowledge and observations. Finally, the framework is extended to incorporate fact-changing actions, and a worked-out example is given. © 2013 Elsevier B.V. (shrink)

We make a proposal for formalizing simultaneous games at the abstraction level of player’s powers, combining ideas from dynamic logic of sequential games and concurrent dynamic logic. We prove completeness for a new system of ‘concurrent game logic’ CDGL with respect to finite non-determined games. We also show how this system raises new mathematical issues, and throws light on branching quantifiers and independence-friendly evaluation games for first-order logic.

In a Common Law system, legal practitioners need frequent access to prior case documents that discuss relevant legal issues. Case documents are generally very lengthy, containing complex sentence structures, and reading them fully is a strenuous task even for legal practitioners. Having a concise overview of these documents can relieve legal practitioners from the task of reading the complete case statements. Legal catchphrases are (multi-word) phrases that provide a concise overview of the contents of a case document, and automated generation (...) of catchphrases is a challenging problem in legal analytics. In this paper, we propose a novel supervised neural sequence tagging model for the extraction of catchphrases from legal case documents. Specifically, we show that incorporating document-specific information along with a sequence tagging model can enhance the performance of catchphrase extraction. We perform experiments over a set of Indian Supreme Court case documents, for which the gold-standard catchphrases (annotated by legal practitioners) are obtained from a popular legal information system. The performance of our proposed method is compared with that of several existing supervised and unsupervised methods, and our proposed method is empirically shown to be superior to all baselines. (shrink)

The task of rhetorical role labeling is to assign labels (such as Fact, Argument, Final Judgement, etc.) to sentences of a court case document. Rhetorical role labeling is an important problem in the field of Legal Analytics, since it can aid in various downstream tasks as well as enhances the readability of lengthy case documents. The task is challenging as case documents are highly various in structure and the rhetorical labels are often subjective. Previous works for automatic rhetorical role identification (...) (i) mainly used Conditional Random Fields over manually handcrafted features, and (ii) focused on certain law domains only (e.g., Immigration cases, Rent law), and a particular jurisdiction/country (e.g., US, Canada, India). In this work, we improve upon the prior works on rhetorical role identification by proposing novel Deep Learning models for automatically identifying rhetorical roles, which substantially outperform the prior methods. Additionally, we show the effectiveness of the proposed models over documents from five different law domains, and from two different jurisdictions—the Supreme Court of India and the Supreme Court of the UK. Through extensive experiments over different variations of the Deep Learning models, including Transformer models based on BERT and LegalBERT, we show the robustness of the methods for the task. We also perform an extensive inter-annotator study and analyse the agreement of the predictions of the proposed model with the annotations by domain experts. We find that some rhetorical labels are inherently hard/subjective and both law experts and neural models frequently get confused in predicting them correctly. (shrink)

The Transforming growth factor beta (TGF‐β) family of secreted proteins regulates a variety of key events in normal development and physiology. In mammals, this family, represented by 33 ligands, including TGF‐β, activins, nodal, bone morphogenetic proteins (BMPs), and growth and differentiation factors (GDFs), regulate biological processes as diverse as cell proliferation, differentiation, apoptosis, metabolism, homeostasis, immune response, wound repair, and endocrine functions. In Drosophila, only 7 members of this family are present, with 4 TGF‐β/BMP and 3 TGF‐β/activin ligands. Studies in (...) the fly have illustrated the role of TGF‐β/BMP ligands during embryogenesis and organ patterning, while the TGF‐β/activin ligands have been implicated in the control of wing growth and neuronal functions. In this review, we focus on the emerging roles of Drosophila TGF‐β/activins in inter‐organ communication via long‐distance regulation, especially in systemic lipid and carbohydrate homeostasis, and discuss findings relevant to metabolic diseases in humans. -/- . (shrink)

Connected vehicle fleets have formed significant component of industrial internet of things scenarios as part of Industry 4.0 worldwide. The number of vehicles in these fleets has grown at a steady pace. The vehicles monitoring with machine learning algorithms has significantly improved maintenance activities. Predictive maintenance potential has increased where machines are controlled through networked smart devices. Here, benefits are accrued considering uptimes optimization. This has resulted in reduction of associated time and labor costs. It has also provided significant increase (...) in cost benefit ratios. Considering vehicle fault trends in this research predictive maintenance problem is addressed through hybrid deep learning-based ensemble method (HDLEM). The ensemble framework which acts as predictive analytics engine comprises of three deep learning algorithms viz modified cox proportional hazard deep learning (MCoxPHDL), modified deep learning embedded semi supervised learning (MDLeSSL) and merged LSTM (MLSTM) networks. Both sensor as well as historical maintenance data are collected and prepared using benchmarking methods for HDLEM training and testing. Here, times between failures (TBF) modeling and prediction on multi-source data are successfully achieved. The results obtained are compared with stated deep learning models. This ensemble framework offers great potential towards achieving more profitable, efficient and sustainable vehicle fleet management solutions. This helps better telematics data implementation which ensures preventative management towards desired solution. The ensemble method's superiority is highlighted through several experimental results. (shrink)

Summarization of legal case judgement documents is a practical and challenging problem, for which many summarization algorithms of different varieties have been tried. In this work, rather than developing yet another summarization algorithm, we investigate if intelligently ensembling (combining) the outputs of multiple (base) summarization algorithms can lead to better summaries of legal case judgements than any of the base algorithms. Using two datasets of case judgement documents from the Indian Supreme Court, one with extractive gold standard summaries and the (...) other with abstractive gold standard summaries, we apply various ensembling techniques on summaries generated by a wide variety of summarization algorithms. The ensembling methods applied range from simple voting-based methods to ranking-based and graph-based ensembling methods. We show that many of our ensembling methods yield summaries that are better than the summaries produced by any of the individual base algorithms, in terms of ROUGE and METEOR scores. (shrink)

Student support services are the cardinal features of the Open and Distance Learning System. In India, the Indira Gandhi National Open University, 13 state open universities and over 200 Distance Education Institutes attached to conventional universities and private/autonomous institutes offering programmes through the distance mode have all created adequate provisions for learner support services and the systems, rules, regulations and norms have been put in place. However, it is significant that a learner in the ODL system remains away from the (...) teacher and the peer group. Thus, the learner feels isolated and needs the empathy of all the functionaries concerned. It has been our experience at IGNOU that more often than not the functionaries fail to realize the value of a learner and the learner fails to understand the value attributed to him by the ODL system. Without such realization the rules and regulations lose their significance. Hence, inculcation of values is of paramount importance in the functioning of the ODL system. In this article we have discussed about ‘inculcation of values’ among the ‘learners’ as well as the ‘functionaries’ for developing ‘best practices’ in learner support services in the ODL system. The inputs are based primarily on direct experiences of the authors. (shrink)