What could be more certain than the fact that 2 plus 2 equals 4? Since the time of the ancient Greeks mathematicians have believed there is little---if anything---as unequivocal as a proved theorem. In fact, mathematical statements that can be proved true have often been regarded as a more solid foundation for a system of thought than any maxim about morals or even physical objects. The 17th-century German mathematician and philosopher Gottfried Wilhelm Leibniz even envisioned a ``calculus'' of reasoning such (...) that all disputes could one day be settled with the words ``Gentlemen, let us compute!'' By the beginning of this century symbolic logic had progressed to such an extent that the German mathematician David Hilbert declared that all mathematical questions are in principle decidable, and he confidently set out to codify once and for all the methods of mathematical reasoning. (shrink)

The field of information technology is broadened up to the domain of ‘learning’ systems and cybernetics. In covering this extension of the field due recourse is made to the epistemological basis of theory construction. When so comprehended, information technology becomes a philosophical inquiry on a variety of social, scientific and technological issues. A new idea that we refer to as neuro-cybernetics is born. The term neuro-cybernetics is used to delineate the epistemological field of system and cybernetic study. The (...) above-mentioned phenomenological or the epistemic model of a cybernetic and system type is applied to flood control problem in Bangladesh. This example presents an application of the cybernetic model to a physico-human problem. This is the nature of socio-scientific system. In it, organically unifying relations occur between the environment and the human world, with the objective of controlling the perennial problem of floods by using interactive factors. (shrink)

The article discusses issues of interaction between the scientific systems of Eastern and Western Europe in the context of current global and local conflicts. Also, ethical issues are considered in connection with solving such problems in science, as well as examining similarities and differences of the scientific systems and their possible modelling. Some practical recommendations are included, based on the suggested academic speculations.

It has been a traditional claim that Descartes sought to construct a deductive scientific system in which everything could be deduced from a priori truths. I shall call this thesis strong a priorism. In view of the overwhelming amount of evidence that Descartes thought experience to be a necessary part of his method, the traditional interpretation has undergone several transformations. One interpretation resulting from this transformation holds that Descartes sought to prove the first principles of natural philosophy in an (...) a priori manner. I will call this interpretation weak a priorismk.My task in this paper is to show that the thesis of weak a priorismk is false. With a view to proving this, I will show that one of the very general principles of Cartesian natural philosophy, namely, the claim that the essence of matter is extension, could not have been, and was not meant to be, established in a purely a priorik way. (shrink)

It has been a traditional claim that Descartes sought to construct a deductive scientific system in which everything could be deduced from a priori truths. I shall call this thesis strong a priorism. In view of the overwhelming amount of evidence that Descartes thought experience to be a necessary part of his method, the traditional interpretation has undergone several transformations. One interpretation resulting from this transformation holds that Descartes sought to prove the first principles of natural philosophy in an (...) a priori manner. I will call this interpretation weak a priorismk.My task in this paper is to show that the thesis of weak a priorismk is false. With a view to proving this, I will show that one of the very general principles of Cartesian natural philosophy, namely, the claim that the essence of matter is extension, could not have been, and was not meant to be, established in a purely a priorik way. (shrink)

The article discusses issues of interaction between the scientific systems of Eastern and Western Europe in the context of current global and local conflicts. Also, ethical issues are considered in connection with solving such problems in science, as well as examining similarities and differences of the scientific systems and their possible modelling. Some practical recommendations are included, based on the suggested academic speculations.

This paper constructs the teaching of tasawuf as a scientific methods in the higher education in Indonesia. The inclusion of systematic approach is based on the teaching of tasawuf by Kiai Emet Ahmad Khotib from Cirebon West Java Indonesia. This study implemented habitus research method and historical method that centered on library research. Habitus is the mental or cognitive structure through which people deal with the social world. A person is endowed with a set of internalized schemas through which (...) they perceive, understand, appreciate and evaluate the social world. It is through such schemes that people produce their practices as well as perceive and evaluate them. Qualitative approach was applied as the basis of data analysis in this study. Results show that Kiai Ahmad Khatib is the successor of the Islamic boarding school al-Ishlah Bobos 1925-1990 of Cirebon. He set 15 system of tasawuf as the scientific system. Basically, the theory was addressed to declare Allah as the Goal, sincerity as the basis for charity or doing _iqror_ deed declare Allah, the stage of Hub or love. In the promise to Allah a learner avoid the betrayals, primarily Betrayal of Allah, Betrayal of the Prophet, Betrayal to Humans, Betrayal to the motherland. The rule of tarbiyah included in the education system should include among others: Plenary System (Manhaj mutakamilah), Upgrade and Enhancement System, One Way System, Choice System, _Tasykil_ system/form, Humans have character traits that are easy to bend, easy to straighten This trait is used as the basis by experts in fostering human awakening from weakness. (shrink)

"In this book, the second edition of the author's Principles of Psychology, he continues his attempt to forge naturalistic constructs (descriptions, interpretations) for psychological events. Despite the enormous development of psychology in the interval, the author still stresses the fact that psychological events are in all respects as natural as chemical reactions, electromagnetic radiation, or gravitational attraction. The attempt to transform psychology into a natural science is doubly motivated. First, there is the need to develop valid constructs for an important (...) series of happenings. Second, such results smooth the way for workers in other sciences such as physics, physiology, and anthropology in their inevitable encounter with psychological issues"--Preface. (PsycINFO Database Record (c) 2010 APA, all rights reserved). (shrink)

This two-volume work, first published in 1843, was John Stuart Mill's first major book. It reinvented the modern study of logic and laid the foundations for his later work in the areas of political economy, women's rights and representative government. In clear, systematic prose, Mill disentangles syllogistic logic from its origins in Aristotle and scholasticism and grounds it instead in processes of inductive reasoning. An important attempt at integrating empiricism within a more general theory of human knowledge, the work constitutes (...) essential reading for anyone seeking a full understanding of Mill's thought. Continuing the discussion of induction, Volume 2 concludes with Book VI, 'On the Logic of the Moral Sciences', in which Mill applies empirical reasoning to human behaviour. A crucial early formulation of his thinking regarding free will and necessity, this book establishes the centrality of 'the social science' to Mill's philosophy. (shrink)

This two-volume work, first published in 1843, was John Stuart Mill's first major book. It reinvented the modern study of logic and laid the foundations for his later work in the areas of political economy, women's rights and representative government. In clear, systematic prose, Mill (1806–73) disentangles syllogistic logic from its origins in Aristotle and scholasticism and grounds it instead in processes of inductive reasoning. An important attempt at integrating empiricism within a more general theory of human knowledge, the work (...) constitutes essential reading for anyone seeking a full understanding of Mill's thought. Volume 1 contains Mill's introduction, which elaborates upon his definition of logic as 'not the science of Belief, but the science of Proof, or Evidence'. It also features discussions of the central components of logical reasoning - propositions and syllogisms - in relation to Mill's theories of inductive reasoning and experimental method. (shrink)

Model checking, a prominent formal method used to predict and explain the behaviour of software and hardware systems, is examined on the basis of reflective work in the philosophy of science concerning the ontology of scientific theories and model-based reasoning. The empirical theories of computational systems that model checking techniques enable one to build are identified, in the light of the semantic conception of scientific theories, with families of models that are interconnected by simulation relations. And (...) the mappings between these scientific theories and computational systems in their scope are analyzed in terms of suitable specializations of the notions of model of experiment and model of data. Furthermore, the extensively mechanized character of model-based reasoning in model checking is highlighted by a comparison with proof procedures adopted by other formal methods in computer science. Finally, potential epistemic benefits flowing from the application of model checking in other areas of scientific inquiry are emphasized in the context of computer simulation studies of biological information processing. (shrink)

Progress in the last few decades in what is widely known as “Chaos Theory” has plainly advanced understanding in the several sciences it has been applied to. But the manner in which such progress has been achieved raises important questions about scientific method and, indeed, about the very objectives and character of science. In this presentation, I hope to engage my audience in a discussion of several of these important new topics.

The argument of this paper is that Kuhn's account of rational theory choice is too permissive and that an account that recognizes the large-scale nature of the system of scientific beliefs is more plausible and has more practical force.

ABSTRACT: Decision-theoretic approach and a nonlinguistic theory of norms are applied in the paper in an attempt to explain the nature of scientific rationality. It is considered as a normative system accepted by scientific community. When we say that a certain action is rational, we express a speaker’s acceptance of some norms concerning a definite action. Scientists can choose according to epistemic utility or other rules and values, which themselves have a variable nature. Rationality can be identified with (...) a decision to accept a norm. This type of decision cannot be reduced only to its linguistic formulation; it is an act of evolvement of the normative regulation of human behavior. Norms are treated as decisions of a normative authority: a specific scientific community is the normative authority in science. These norms form a system and they are absolutely objective in the context of individual scientists. There exists an invariant core in all the norms of rationality, accounting for their not being liable to change, as compared with the flexibility of legal norms. The acceptance of and abidance by these norms is of social importance – it affects the aims of the community. A norm only defines the common framework and principles of scientific problem-solving; its application is a matter of professional skills and creative approach to a particular problem. It is of no importance at all, if an agent’s cognitive abilities do not live up to the requirements of a norm. Such discrepancy can be compensated for by the fact that a scientist carries out work in a conceptual and normative framework established by a respective scientific community. (shrink)

Systems Theory and Scientific Philosophy constitutes a totally new approach to philosophy, the philosophy of mind and the problems of artificial intelligence, and is based upon the pioneering work in cybernetics of W. Ross Ashby. While science is humanity's attempt to know how the world works and philosophy its attempt to know why, scientific philosophy is the application of scientific techniques to questions of philosophy.

In the past two decades, individual explanations of scientific misconduct have increasingly given way to systemic explanations. Where did this interest in systemic factors come from? Given that research ethicists often present their interventions as responses to scientific misconduct, this article tests the hypothesis that these systemic explanations were triggered by high-visibility cases of scientific norm violation. It does so by examining why Dutch scientists in 2011 explained Diederik Stapel’s grand-scale data fabrication largely in systemic terms, whereas (...) only fifteen years earlier, in the René Diekstra affair, such explanations had been close to absent. Drawing on a wealth of historical sources, the article suggests that cases like Stapel’s as such do not explain why early 21st-century commentators exchanged individual explanations for systemic ones. Only against the background of an existing discourse of criticism of the science system, developed in the 1990s and 2000s in response to rapidly increasing competition for research funding, could the Stapel affair achieve notoriety as an example of how systemic factors provoke bad conduct. (shrink)

Research on hybrid bionic systems (HBSs) is still in its infancy but promising results have already been achieved in laboratories. Experiments on humans and animals show that artificial devices can be controlled by neural signals. These results suggest that HBS technologies can be employed to restore sensorimotor functionalities in disabled and elderly people. At the same time, HBS research raises ethical concerns related to possible exogenous and endogenous limitations to human autonomy and freedom. The analysis of these concerns requires (...) reflecting on the availability of scientific models accounting for key aspects of sensorimotor coordination and plastic adaptation mechanisms in the brain. (shrink)

Classic of Changes is a Chinese cultural classic born more than 3000 years ago. Its profound philosophical thoughts and the use of divination have brought Classic of Changes to a strong oriental mysticism. The view of the heaven and man of yin and yang and the five elements states of Classic of Changes are completely different from the Western elemental theory of ancient Greece. The latter gave birth to classical and modern scientific theories, and the yin and yang and (...) the eight trigrams symbol has become synonymous with oriental mysticism. In fact, the cosmology of the Holism of Classic of Changes is a precious scientific heritage of mankind. The axiomatization of the symbolic formal system of Classic of Changes aims to unveil the veil of oriental mysticism and provide oriental wisdom for the development of modern science. Transforming the symbolic system of Classic of Changes into a formal axiom system is the crystallization of the fusion of wisdom between the East and the West. The axiomatization of the symbolic formal system of Classic of Changes shows that the oriental and the western scientific tradition harmony but not sameness and there is no conflict. Classic of Changes can also be interpreted by the axiomatic system like Euclid’s Elements. The main contribution of this paper is that the author skillfully uses mathematical language to formulate the system of Classic of Changes, reconstructs the ideological system of Classic of Changes with the axiomatic method and realizes the scientificalization of Chinese classical natural philosophy. The formal axiom system of Classic of Changes may give us such a revelation: the gap between the oriental and western scientific traditions is mainly in the axiomatization, but the lack of oriental scientific tradition may be the bottleneck of the development of modern science. (shrink)

Science provides us with representations of atoms, elementary particles, polymers, populations, genetic trees, economies, rational decisions, aeroplanes, earthquakes, forest fires, irrigation systems, and the world’s climate. It's through these representations that we learn about the world. This entry explores various different accounts of scientific representation, with a particular focus on how scientific models represent their target systems. As philosophers of science are increasingly acknowledging the importance, if not the primacy, of scientific models as representational units (...) of science, it's important to stress that how they represent plays a fundamental role in how we are to answer other questions in the philosophy of science (e.g. the scientific realism debate). This entry begins by disentangling ‘the’ problem of scientific representation, before critically evaluating the current options available in the literature. (shrink)

International Scientific Relations offers a holistic analysis of the role and impact of science, technology, and innovation in the international system of the twenty-first century.

Representation of scientific knowledge in ontologies suffers so often from the lack of computational knowledge required for inference. This article aims to perform quantitative analysis on physical systems, that is, to answer questions about values of quantitative state variables of a physical system with known structure. For this objective, we incorporate procedural knowledge on two distinct levels. At the domain-specific level, we propose a representation model for scientific knowledge, i.e. variables, theories, and laws of nature. At the (...) domain-independent level, we provide an algorithm which, given a system S with known structure and a relevant scientific theory T, extracts a constraint network, whose variables are state variables of S defined by T, and whose constraints raise from relevant laws in T. The constraint network is then solved, to build a system of equations whose unknowns are the output variables of S. The proposed representation model and reasoning algorithm are evaluated by applying them to classic analysis examples. (shrink)

Olena Panych’s article «Scientific Atheism as a Cultural System» explores scientific atheism as a worldview and cultural system that were artificially constructed in the USSR in 1960s-80s. Panych argues that scientific atheism had its peculiar specific ethics, practices and discourse. Being essentially a propagandist paradigm aimed at negation of religion, scientific atheism also developed a positive program of the formation of integral worldview. The discourse of scientific atheism was focused on the construction of community that (...) would be alternative to the religious one. In its peculiar way, scientific atheism asserted general collectivist values of the Soviet epoch. (shrink)

Berichte zur Wissenschaftsgeschichte, Volume 45, Issue 3, Page 301-305, September 2022.

Berichte zur Wissenschaftsgeschichte, Volume 45, Issue 3, Page 301-305, September 2022.

The patent system appears to make three ontological assumptions often associated with scientific realism: there is a natural world that is independent of human knowledge and technology; invented products can be unobservable things; and invented products have causal powers. Although a straightforward reading of patent laws implies these ontological commitments, it is not at all clear that what the patent system has to say about the world has any bearing on issues of scientific realism. While realists might embrace (...) the patent system’s apparent ontology as providing additional support for their view, anti-realists could propose an alternative interpretation of patent law that does not involve realist ontological commitments. Thus, questions about the patent system’s ontology depend on whether one takes patent laws at face value or defends an interpretation of patent law motivated by philosophical theory. Philosophers of science should pay attention to the practice of patenting, even if they ultimately reject the patent system’s apparent ontology and offer an alternative interpretation. (shrink)

The intellectual organization of the sciences cannot be appreciated sufficiently unless the cognitive dimension is considered as an independent source of variance. Cognitive structures interact and co-construct the organization of scholars and discourses into research programs, specialties, and disciplines. In the sociology of scientific knowledge and the sociology of translation, these heterogeneous sources of variance have been homogenized a priori in the concepts of practices and actor-networks. Practices and actor-networks, however, can be explained in terms of the self-organization of (...) the cognitive code in scientific communication. The code selects knowledge claims by organizing them operationally in the various discourses; the claims can thus be stabilized and potentially globalized. Both the selecting codes and the variation in the knowledge claims remain constructed, but the different sub-dynamics can be expected to operate asymmetrically and to update with other frequencies. (shrink)

In this paper we investigate the role of information machines in the scientific enterprise intended as a social activity. Our discussion is based on a powerful kind of information machines called scientific social agencies, which are multiagent systems of distributed artificial intelligence. Scientific social agency, on the one hand, can provide great benefits to the present common scientific practice but, on the other hand, its development represents a strong and still open technical challenge. This paper (...) shows a coherent framework in which scientific social agency is settled. Moreover, the double role of a scientific social agency in assisting scientists in their activity and in representing the products of their research is illustrated by means of some examples. (shrink)

The purpose is to provide researchers with reliable Scientific Research Data from the massive amounts of research data to establish a sustainable Scientific Research environment. Specifically, the present work proposes establishing an Intelligent Recommendation System based on Machine Learning algorithm and SRD. Firstly, the IRS is established over ML technology. Then, based on user Psychology and Collaborative Filtering recommendation algorithm, a hybrid algorithm [namely, Content-Based Recommendation-Collaborative Filtering ] is established to improve the utilization efficiency of SRD and Sustainable (...) Development of SR. Consequently, the present work designs literature and SRD-targeted IRS using the hybrid recommendation under the background of SD. The proposed system’s feasibility is analyzed through experiments. Additionally, the system performance is analyzed and verified from accuracy, diversity, coverage, novelty, and recommendation efficiency. The results show that the hybrid algorithm can make up for the shortcomings of a single algorithm and improve the recommendation efficiency. Experiments show that the accuracy of the proposed CBR-CF algorithm is the highest. In particular, the recommendation accuracy for the single-user system can reach 82–93%, and the recall of all recommended algorithms falls between 60 and 91%. The recall of the hybrid algorithm is higher than that of a single algorithm, and the highest recall is 91%. Meanwhile, the hybrid algorithm has comprehensive coverage, good applicability, and diversity. Therefore, SD-oriented SRD-targeted IRS is of great significance to improve the SRD utilization and the accuracy of IRS, and expand the achievement value of SR. The research content provides a reference for establishing a sustainable SR environment and improving SR efficiency. (shrink)

Resumen: Este artículo busca observar las diferencias entre el modelo sistémico funcional y el modelo pragmático-formal en su comprensión de la experticia científica y su rol en las sociedades modernas. Se elaborará un breve diagnóstico acerca de la importancia de la confianza en experticia científica en la sociedad contemporánea y cómo este proceso ha sido analizado. Luego, se analizará la descripción del conocimiento científico en la sociedad contemporánea desde el modelo sistémico funcional. Utilizando los conceptos de diferenciación funcional y acoplamiento (...) estructural, se sugerirá que, desde este modelo, el conocimiento científico es una forma de comunicación especializada propia de un sistema funcional de la sociedad. A continuación, se describirá la aproximación del modelo pragmático formal. Especial importancia tienen aquí las ideas de mundo de la vida y esfera pública. Sobre la base de estas caracterizaciones, se comparan las visiones de estos autores y se analizan las diferencias en su conceptualización de la experticia. Se argumenta que las diferencias de estos dos modelos en relación con el estatus ontológico del mundo de la vida marcan sus visiones de la experticia y los debates actuales acerca de sus posibilidades de convertibilidad en la literatura especializada. El artículo finaliza con un resumen y posibles líneas futuras de investigación.: This article seeks to observe the differences between the functional-systemic model and the pragmatic-formal model in their understanding of scientific expertise and its role in modern societies. First, a brief diagnosis about the importance of trust in scientific expertise in contemporary society and how this process has been analyzed in the specialized literature will be made. Then, the description of scientific knowledge will be analyzed from the point of view of the functional systemic model. Using the concepts of functional differentiation and structural coupling, it will be argued that scientific knowledge is here considered a specialized form of communication characteristic of a functional system. Next, the approximation of the formal-pragmatic model is described. Of special importance here are the ideas of lifeworld and public sphere. On the basis of these characterizations, the visions of these authors are compared and the differences are analyzed in relation to their conceptualization of expertise. It is then suggested that the differences between these two models in relation to the ontological status of the lifeworld shape their views of scientific expertise as well as current debates on this topic. The article ends with a summary and possible future line of research. (shrink)

Decision-theoretic approach and a nonlinguistic theory of norms are applied in the paper in an attempt to explain the nature of scientific rationality. It is considered as a normative system accepted by scientific community. When we say that a certain action is rational, we express a speaker‘s acceptance of some norms concerning a definite action. Scientists can choose according to epistemic utility or other rules and values, which themselves have a variable nature. Rationality can be identified with a (...) decision to accept a norm. This type of decision cannot be reduced only to its linguistic formulation; it is an act of evolvement of the normative regulation of human behavior. Norms are treated as decisions of a normative authority: a specific scientific community is the normative authority in science. These norms form a system and they are absolutely objective in the context of individual scientists. There exists an invariant core in all the norms of rationality, accounting for their not being liable to change, as compared with the flexibility of legal norms. The acceptance of and abidance by these norms is of social importance—it affects the aims of the community. A norm only defines the common framework and principles of scientific problem-solving; its application is a matter of professional skills and creative approach to a particular problem. It is of no importance at all, if an agent‘s cognitive abilities do not live up to the requirements of a norm. Such discrepancy can be compensated for by the fact that a scientist carries out work in a conceptual and normative framework established by a respective scientific community. (shrink)

This short paper grew out of an observation—made in the course of a larger research project—of a surprising convergence between, on the one hand, certain themes in the work of Mary Hesse and Nelson Goodman in the 1950/60s and, on the other hand, recent work on the representational resources of science, in particular regarding model-based representation. The convergence between these more recent accounts of representation in science and the earlier proposals by Hesse and Goodman consists in the recognition that, in (...) order to secure successful representation in science, collective representational resources must be available. Such resources may take the form of (amongst others) mathematical formalisms, diagrammatic methods, notational rules, or—in the case of material models—conventions regarding the use and manipulation of the constituent parts. More often than not, an abstract characterization of such resources tells only half the story, as they are constituted equally by the pattern of (practical and theoretical) activities—such as instances of manipulation or inference—of the researchers who deploy them. In other words, representational resources need to be sustained by a social practice; this is what renders them collective representational resources in the first place. (shrink)

This two-volume work, first published in 1843, was John Stuart Mill's first major book. It reinvented the modern study of logic and laid the foundations for his later work in the areas of political economy, women's rights and representative government. In clear, systematic prose, Mill disentangles syllogistic logic from its origins in Aristotle and scholasticism and grounds it instead in processes of inductive reasoning. An important attempt at integrating empiricism within a more general theory of human knowledge, the work constitutes (...) essential reading for anyone seeking a full understanding of Mill's thought. Volume 1 contains Mill's introduction, which elaborates upon his definition of logic as 'not the science of Belief, but the science of Proof, or Evidence'. It also features discussions of the central components of logical reasoning - propositions and syllogisms - in relation to Mill's theories of inductive reasoning and experimental method. (shrink)

We are told that we live in a scientific world. All about us are the fruits of scientific research, and the products of scientific industry. But, in spite of this transformation of our material surroundings, scientific thought, or the scientific method as such, has had no effect upon the everyday thought and behaviour of our people. To be sure, along with the scientific gadgets a few scientific truths have been disseminated. They know the (...) earth is round and moves about the sun; they could know that bacteria cause disease and that they are themselves descended from less articulate forms of animal life. Even when such conclusions are accepted, it is on the basis of authority with no understanding as to how they arose and on what basis they stand. For the large majority, science has merely acquired a cloak of respectability; it is a stronger magic than that of our forebears, and our modern alchemy is known as a powerful though mysterious source of pecuniary profit. (shrink)

In the paper I explore the relations between a relatively new and quickly expanding branch of artificial intelligence –- the automated discovery systems –- and some new views advanced in the old debate over scientific realism. I focus my attention on one such system, GELL-MANN, designed in 1990 at Wichita State University. The program's task was to analyze elementary particle data available in 1964 and formulate an hypothesis (or hypotheses) about a `hidden', more simple structure of matter, or (...) to put it in contemporary terms –- the discovery of quarks. The central thesis of my paper is that systems like GELL-MANN not only discover (or rediscover) the hidden structure of matter, but also provide independent strong evidence in favor of scientific realism about entities involved in that structure. I make an attempt to show how an argument for scientific realism about sub-microscopic entities can be constructed that would parallel Ian Hacking's `argument from coincidence' presented with respect to microscopic objects in his famous book Representing and Intervening. (shrink)

This paper argues that the development of early-modern science was strongly influenced by prevailing legal practices.1 This argument goes back to the work of Barbara Shapiro, who explored in a numb...

This two-volume work, first published in 1843, was John Stuart Mill's first major book. It reinvented the modern study of logic and laid the foundations for his later work in the areas of political economy, women's rights and representative government. In clear, systematic prose, Mill disentangles syllogistic logic from its origins in Aristotle and scholasticism and grounds it instead in processes of inductive reasoning. An important attempt at integrating empiricism within a more general theory of human knowledge, the work constitutes (...) essential reading for anyone seeking a full understanding of Mill's thought. Continuing the discussion of induction, Volume 2 concludes with Book VI, 'On the Logic of the Moral Sciences', in which Mill applies empirical reasoning to human behaviour. A crucial early formulation of his thinking regarding free will and necessity, this book establishes the centrality of 'the social science' to Mill's philosophy. (shrink)