Argues that Aquinas's views on intelligible matter and abstraction, as they relate to mathematics, are considerably more developed than those of Aristotle.

The role and precise significance of Intelligible Matter in the philosophy of Plotinus has been neglected or dismissed with many questions unanswered. In view of the fact that, unless this role can be properly understood, the whole doctrine of the procession of the Second Hypostasis must remain mysterious, this paper is intended to shed light on two important aspects of that Hypostasis: the nature of Intelligible Matter itself and the relation of that Matter to the (...) Forms. (shrink)

The role and precise significance of Intelligible Matter in the philosophy of Plotinus has been neglected or dismissed with many questions unanswered. In view of the fact that, unless this role can be properly understood, the whole doctrine of the procession of the Second Hypostasis must remain mysterious, this paper is intended to shed light on two important aspects of that Hypostasis: the nature of Intelligible Matter itself and the relation of that Matter to the (...) Forms. (shrink)

The role and precise significance of Intelligible Matter in the philosophy of Plotinus has been neglected or dismissed with many questions unanswered. In view of the fact that, unless this role can be properly understood, the whole doctrine of the procession of the Second Hypostasis must remain mysterious, this paper is intended to shed light on two important aspects of that Hypostasis: the nature of Intelligible Matter itself and the relation of that Matter to the (...) Forms. (shrink)

I argue that intelligible matter, for Aristotle, is what makes mathematical objects quantities and divisible in their characteristic way. On this view, the intelligible matter of a magnitude is a sensible object just insofar as it has dimensional continuity, while that of a number is a plurality just insofar as it consists of indivisibles that measure it. This interpretation takes seriously Aristotle's claim that intelligible matter is the matter of mathematicals generally – not (...) just of geometricals. I also show that intelligible matter has the same meaning in all three places where it is explicitly invoked: Z.10, Z.11, and H.6. Since the H.6 passage involves a mathematical definition, this requires determining what the mathematician defines and how she defines it. I show that, as with natural scientific definitions, there must be a matterlike element in mathematical definitions. This element is not identical with, but rather refers to, intelligible matter. (shrink)

This study evaluated how gender is related to children’s intelligence beliefs, goal orientations and academic achievement and whether there are gender differences in how intelligence beliefs and goal orientations are related to academic achievement. The participants, 362 seventh grade students, completed measures regarding their intelligence beliefs and goal orientations at the beginning of the second semester and the grades were collected at the end of the semester. Girls reported higher scores on incremental belief, mastery goal and higher achievement but lower (...) levels of performance avoidance compared to boys. The relations between intelligence beliefs and academic achievement were fully mediated by both performance goals. Further, there were no gender differences in the associations among intelligence beliefs, goal orientations and achievement. The findings reveal that goal orientations are a mechanism that might explain why intelligence beliefs are l... (shrink)

Any first step in organisational adaptation starts with individuals’ responses and willingness (or otherwise) to change an aspect of themselves given the transcontextual settings in which they are operating (Bateson in Small arcs of larger circles: framing through other patterns, Triarchy Press, Axminster, 2018). This research explores the implications for organisational adaptation strategies when Artificial Intelligence (AI) is being embedded into the ecology of the organisation, and when employees have a dominant fixed or growth mindset (Dweck in Mindset: changing the (...) way you think to fulfil your potential. Robinson, London, 2017). Research participants were supplied with a single scenario based in 2030, where—as a result of Artificial Intelligence technology implementation—employees were going to be displaced. Using Torbert’s (Organizational wisdom and executive courage, New Lexington Press, San Francisco, 1998) ‘first, second and third person’ research theory, participants were asked to independently review their thoughts, sense, and image of the future from a fixed mindset position (considered to be the worst case), then from a growth mindset perspective (best case), and then do the same collectively. Five key findings are outlined which support the principle that having a growth mindset is a key component of adaptive capacity and futures literacy. The five key findings conclude that AI adaptation processes need to include compassion and authenticity, embodiment, fundamental needs and motivations, mutual learning and considering what lies beyond the edges of the organisation (Bateson in Small arcs of larger circles: framing through other patterns, Triarchy Press, Axminster, 2018). (shrink)

Artificial intelligence, conceived either as an attempt to provide models of human cognition or as the development of programs able to perform intelligent tasks, is primarily interested in theuses of language. It should be concerned, therefore, withpragmatics. But its concern with pragmatics should not be restricted to the narrow, traditional conception of pragmatics as the theory of communication (or of the social uses of language). In addition to that, AI should take into account also the mental uses of language (in (...) reasoning, for example) and the existential dimensions of language as a determiner of the world we (and our computers) live in. In this paper, the relevance of these three branches of pragmatics-sociopragmatics, psychopragmatics, and ontopragmatics-for AI are explored. (shrink)

The potential for artificial intelligences and robotics in achieving the capacity of consciousness, sentience and rationality offers the prospect that these agents have minds. If so, then there may be a potential for these minds to become dysfunctional, or for artificial intelligences and robots to suffer from mental illness. The existence of artificially intelligent psychopathology can be interpreted through the philosophical perspectives of mental illness. This offers new insights into what it means to have either robot or human mental disorders, (...) but may also offer a platform on which to examine the mechanisms of biological or artificially intelligent psychiatric disease. The possibility of mental illnesses occurring in artificially intelligent individuals necessitates the consideration that at some level, they may have achieved a mental capability of consciousness, sentience and rationality such that they can subsequently become dysfunctional. The deeper philosophical understanding of these conditions in mankind and artificial intelligences might therefore offer reciprocal insights into mental health and mechanisms that may lead to the prevention of mental dysfunction. (shrink)

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be (...) preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. (shrink)

The notion of “responsibility gap” with artificial intelligence (AI) was originally introduced in the philosophical debate to indicate the concern that “learning automata” may make more difficult or impossible to attribute moral culpability to persons for untoward events. Building on literature in moral and legal philosophy, and ethics of technology, the paper proposes a broader and more comprehensive analysis of the responsibility gap. The responsibility gap, it is argued, is not one problem but a set of at least four interconnected (...) problems – gaps in culpability, moral and public accountability, active responsibility—caused by different sources, some technical, other organisational, legal, ethical, and societal. Responsibility gaps may also happen with non-learning systems. The paper clarifies which aspect of AI may cause which gap in which form of responsibility, and why each of these gaps matter. It proposes a critical review of partial and non-satisfactory attempts to address the responsibility gap: those which present it as a new and intractable problem (“fatalism”), those which dismiss it as a false problem (“deflationism”), and those which reduce it to only one of its dimensions or sources and/or present it as a problem that can be solved by simply introducing new technical and/or legal tools (“solutionism”). The paper also outlines a more comprehensive approach to address the responsibility gaps with AI in their entirety, based on the idea of designing socio-technical systems for “meaningful human control", that is systems aligned with the relevant human reasons and capacities. (shrink)

Making Your Mind Matter is a practical guide to effective thinking in college and in everyday life, following the WISE model.

In their paper, “Conversational Artificial Intelligence in Psychotherapy: A New Therapeutic Tool or Agent?” Sedlakova and Trachsel (2023) claim that therapeutic insights and therapeutic changes are...

This article deals with the prospect of genetically enhancing intelligence. We identify and contrast social attitudes (disapproval) to the use of future genetic technology with social attitudes (approval) for environmental methods of enhancing intelligence. Using various forms of the argument that the means by which enhancement is achieved has moral significance, we look for differences that could justify the different attitudes. We find that the different attitudes cannot be ethically justified. We predict that the lack of ethical justification for distinguishing (...) between means of enhancement is likely to result in the eventual acceptance of genetic enhancement of intelligence. (shrink)

In _Matter and Consciousness_, Paul Churchland presents a concise and contemporary overview of the philosophical issues surrounding the mind and explains the main theories and philosophical positions that have been proposed to solve them. Making the case for the relevance of theoretical and experimental results in neuroscience, cognitive science, and artificial intelligence for the philosophy of mind, Churchland reviews current developments in the cognitive sciences and offers a clear and accessible account of the connections to philosophy of mind. For this (...) third edition, the text has been updated and revised throughout. The changes range from references to the iPhone's "Siri" to expanded discussions of the work of such contemporary philosophers as David Chalmers, John Searle, and Thomas Nagel. Churchland describes new research in evolution, genetics, and visual neuroscience, among other areas, arguing that the philosophical significance of these new findings lies in the support they tend to give to the reductive and eliminative versions of materialism. Matter and Consciousness, written by the most distinguished theorist and commentator in the field, offers an authoritative summary and sourcebook for issues in philosophy of mind. It is suitable for use as an introductory undergraduate text. (shrink)

The “Value Alignment Problem” is the challenge of how to align the values of artificial intelligence with human values, whatever they may be, such that AI does not pose a risk to the existence of humans. Existing approaches appear to conceive of the problem as "how do we ensure that AI solves the problem in the right way", in order to avoid the possibility of AI turning humans into paperclips in order to “make more paperclips” or eradicating the human race (...) to “solve climate change”. This paper proposes an approach to Alignment rooted in the Enactive theory of mind that reconceptualises it as "how do we make relevant to AI what it relevant to humans". This conceptualisation is supported with a discussion of 4E cognition and goes on to suggest that the Alignment problem and the Frame problem are the same problem. The paper concludes with a discussion of the tradeoffs of the different approaches to value alignment. (shrink)

The “Value Alignment Problem” is the challenge of how to align the values of artificial intelligence with human values, whatever they may be, such that AI does not pose a risk to the existence of humans. A fundamental feature of how the problem is currently understood is that AI systems do not take the same things to be relevant as humans, whether turning humans into paperclips in order to “make more paperclips” or eradicating the human race to “solve climate change”. (...) Specifically, existing approaches approaches to alignment appear to be concerned with how AI might *solve* problems in the relevant way. This paper presents and explores an approach to alignment rooted in the Enactive Theory of mind. It offers an alternative conception of the alignment as “how do we make relevant to AI what is relevant to humans?” In this conception, alignment is concerned with building AI so that it *discerns* and defines the problem in the relevant way. In this way, the Alignment Problem is shown to be the same problem as the Frame Problem. The paper concludes with a consideration of tradeoffs between these conceptions of the alignment problem. (shrink)

Abstract. Intelligent Tutoring System Builder (ITSB) is an authoring tool designed and developed to aid teachers in constructing intelligent tutoring systems in a multidisciplinary fields. The teacher is needed to create a set of pedagogical fundamentals, which, in line, are inured to automatically build up a broad tutor framework and construct an intelligent tutoring system. In this paper an explanation of the theory and the architecture of the tool is outlined. A presentation of several system components, the requirements of the (...) different components, integration of these components in ITSB tool are shown. Furthermore, implanting of requirements, cognitive principle, and common design fundamentals in the tool to ease the use of teachers. A variety of design matters, an example of building an intelligent tutoring system for teaching Java language using ITSB tool and an evaluation are presented. (shrink)

Advanced AI systems are rapidly making their way into medical research and practice, and, arguably, it is only a matter of time before they will surpass human practitioners in terms of accuracy, reliability, and knowledge. If this is true, practitioners will have a prima facie epistemic and professional obligation to align their medical verdicts with those of advanced AI systems. However, in light of their complexity, these AI systems will often function as black boxes: the details of their contents, (...) calculations, and procedures cannot be meaningfully understood by human practitioners. When AI systems reach this level of complexity, we can also speak of black-box medicine. In this paper, we want to argue that black-box medicine conflicts with core ideals of patient-centered medicine. In particular, we claim, black-box medicine is not conducive for supporting informed decision-making based on shared information, shared deliberation, and shared mind between practitioner and patient. (shrink)

The aim of this paper is to apply the metaphysics of John Duns Scotus in constructing a new conception of matter which does not stand in opposition to the mental realm, but is rather composed of both physical and mental elements. The paper is divided into four parts. Section one addresses Scotus’ claim that matter is intelligible and actual in itself. Section two aims to show that matter can be seen as a deprived thinking being. Section (...) three analyzes Scotus’ conception of place. The final section brings together the conclusions of the three preceding parts to confront the Cartesian psycho-physical problem anew and to suggest a viable solution. (shrink)

This article develops a conceptual framework for regulating Artificial Intelligence (AI) that encompasses all stages of modern public policy-making, from the basics to a sustainable governance. Based on a vast systematic review of the literature on Artificial Intelligence Regulation (AIR) published between 2010 and 2020, a dispersed body of knowledge loosely centred around the “framework” concept was organised, described, and pictured for better understanding. The resulting integrative framework encapsulates 21 prior depictions of the policy-making process, aiming to achieve gold-standard societal (...) values, such as fairness, freedom and long-term sustainability. This challenge of integrating the AIR literature was matched by the identification of a structural common ground among different approaches. The AIR framework results from an effort to identify and later analytically deduce synthetic, and generic tool for a country-specific, stakeholder-aware analysis of AIR matters. Theories and principles as diverse as Agile and Ethics were combined in the “AIR framework”, which provides a conceptual lens for societies to think collectively and make informed policy decisions related to what, when, and how the uses and applications of AI should be regulated. Moreover, the AIR framework serves as a theoretically sound starting point for endeavours related to AI regulation, from legislation to research and development. As we know, the (potential) impacts of AI on society are immense, and therefore the discourses, social negotiations, and applications of this technology should be guided by common grounds based on contemporary governance techniques, and social values legitimated via dialogue and scientific research. (shrink)

Henry Shevlin’s paper—“How could we know when a robot was a moral patient?” – argues that we should recognize robots and artificial intelligence (AI) as psychological moral patients if they are cognitively equivalent to other beings that we already recognize as psychological moral patients (i.e., humans and, at least some, animals). In defending this cognitive equivalence strategy, Shevlin draws inspiration from the “behavioral equivalence” strategy that I have defended in previous work but argues that it is flawed in crucial respects. (...) Unfortunately—and I guess this is hardly surprising—I cannot bring myself to agree that the cognitive equivalence strategy is the superior one. In this article, I try to explain why in three steps. First, I clarify the nature of the question that I take both myself and Shevlin to be answering. Second, I clear up some potential confusions about the behavioral equivalence strategy, addressing some other recent criticisms of it. Third, I will explain why I still favor the behavioral equivalence strategy over the cognitive equivalence one. (shrink)

The moral enhancement of human beings is a constant theme in the history of humanity. Today, faced with the threats of a new, globalised world, concern over this matter is more pressing. For this reason, the use of biotechnology to make human beings more moral has been considered. However, this approach is dangerous and very controversial. The purpose of this article is to argue that the use of another new technology, AI, would be preferable to achieve this goal. Whilst (...) several proposals have been made on how to use AI for moral enhancement, we present an alternative that we argue to be superior to other proposals that have been developed. (shrink)

If the central problem in philosophical ethics is determining and defining the scope of moral value, our normative ethical theories must be able to explain on what basis and to what extent entities have value. The scientific foundation of contemporary biosemiotic theory grounds a theory of moral value capable of addressing this problem. Namely, it suggests that what is morally relevant is semiosis. Within this framework, semiosis is a morally relevant and natural property of all living things thereby offering us (...) an ecological, as opposed to merely environmental, ethic. A consequence of this semiotic theory is that living things are accorded inherent moral value based on their natural relational properties—their ability to signify. This consequence establishes a hierarchy of inherent moral value based on the scope of signification: the larger the Umwelten, the greater the value. This paper argues that a robust semiotic moral theory can take into account a much wider scope of inherent value.. These consequences have positive ramifications for environmental ethics in their recognition of the natural ecological networks in which each organism is bound. This presentation of a biosemiotic model of value offers a justificatory strategy for our contemporary moral intuitions concerning our semiotic/moral relationships with living things while also productively pushing our normative ethical boundaries. (shrink)

William Paley ( Natural Theology , 1802) developed the argument-from-design. The complex structure of the human eye evinces that it was designed by an intelligent Creator. The argument is based on the irreducible complexity ("relation") of multiple interacting parts, all necessary for function. Paley adduces a wealth of biological examples leading to the same conclusion; his knowledge of the biology of his time was profound and extensive. Charles Darwin’s Origin of Species is an extended argument demonstrating that the "design" of (...) organisms can be explained by natural selection. Moreover, the dysfunctions, defects, waste, and cruelty that prevail in the living world are incompatible with a benevolent and omnipotent Creator. They come about by a process that incorporates chance and necessity, mutation and natural selection. In addition to science, there are other ways of knowing, such as art, literature, philosophy, and religion. Matters of value, meaning, and purpose transcend science. (shrink)

The aim of this paper is to focus on the reception of Plotinus’ concept of matter in the Renaissance philosopher Giordano Bruno and his early Italian dialogue De la causa, principio et uno. I argue that Bruno’s concept of materia in De la causa, principio et uno reflects Plotinus’ theory of intelligible matter in Ennead ii 4 [12] 2–5 as well as Plotinus’ positive view of the perceptible world in Enneads ii 9 [33] and iv 8 [6]. (...) It is suggested that Bruno interprets Plotinus as an ancient philosopher who supported the unity and homogeneity of matter. Giordano Bruno’s reception of Plotinus in De la Causa, principio et uno could enlighten contemporary discussions in Neoplatonic studies concerning the question of matter in the Enneads. (shrink)

M̀atter Matters is a work of genius. The work exhibits a breathtaking spread of erudition from antiquity to the present, mobilized to elucidate the early modern significance of the concept of matter. The slight play of words in the title expresses the principal thesis of the work, that mathematics is intelligible for Descartes if and only if matter exists as its object. Smith understands, better than anyone, how Descartes could claim, literally, that "my physics is nothing but (...) geometry." Many will be convinced, some dismayed, and all will be dazzled by this book.'---Thomas M. Lennon, The University of Western Ontario". (shrink)

Hume famously warned us that the ‘[The] ultimate springs and principles are totally shut up from human curiosity and enquiry’. Or, again, Newton: ‘Hitherto I have not been able to discover the cause of these properties of gravity … and I frame no hypotheses.’ Aristotelian science was concerned with just such questions, the specification of occult qualities, the real essences that answer the question What is matter, etc?, the preoccupation with circular definitions such as dormative virtues, and so on. (...) The rise of modern science is usually seen as a break with the sterility of Aristotelianism, so what exactly is it that modern science does discover, if it is not the essential nature of matter, of force, of energy, of space and time? A famous answer was provided by Poincaré: ‘The true relations between these real objects are the only reality we can attain.’ This is often regarded as the manifesto of so-called structural realism, as espoused in recent years by John Worrall, for example ). In response to the arguments of Larry Laudan against convergent realism, Worrall points to the continuity in the formal relations between elements of reality expressed by mathematical equations, while the intrinsic nature of these elements of reality gets constantly revised. (shrink)

“Ontological emergence” of inherent high-level properties with causal powers is witnessed nowhere. A non-substantialist conception of emergence works much better. It allows downward causation, provided our concept of causality is transformed accordingly.

Background:The debate over the ethical implications of care robots has raised a range of concerns, including the possibility that such technologies could disrupt caregiving as a core human moral activity. At the same time, academics in information ethics have argued that we should extend our ideas of moral agency and rights to include intelligent machines.Research objectives:This article explores issues of the moral status and limitations of machines in the context of care.Design:A conceptual argument is developed, through a four-part scheme derived (...) from the work of Alasdair MacIntyre. No empirical data are used.Ethical consideration:No primary data were gathered for this study. Secondary sources and authorship have been acknowledged throughout.Findings / discussion:Certain kinds of social experience, including the narrative unity of a life, and the giving and receiving of care, are essential for moral development. Machines, no matter how advanced, cannot participate in such experiences in key respects, and thus cannot develop as practical reasoners.Conclusion:It follows that they cannot be moral agents and that they cannot care. There are, it seems, no such things as care robots. In view of the institutional power of tech companies and commissioning bodies, care practitioners need to take more of a lead in developing new assistive technologies which are appropriate to their practice. (shrink)

There is no dispute over the existence of functions and processes that operate outside consciousness. No one knows what his or her liver is doing, and we all shed a tear when Lassie comes home, even though we know we are watching a movie with a dog who responds to off‐camera signals. Where matters become interesting (and contentious) is over such issues as whether unconscious processes are routinized and inflexible – in a word, stupid – or whether they can be (...) seen as sophisticated, flexible, and adaptive – in a word, intelligent. In the cognitive sciences, until recently, the former perspective dominated for reasons which are rooted not in any objective data base, but in philosophical considerations. The long‐standing presumption of a not‐very‐bright unconscious is, we suspect, the end product of a continuing adherence to Lockean and Cartesian epistemic traditions. While proponents of these two orientations didn't agree on much, they were of one mind with regard to the proposition that that which is mental is conscious. Contemporary psychologists and philosophers who feel comfortable with this position tend to view unconscious cognitive processes as low‐level, crude, primitively connectionistic, and rather stupid, since they equate sophisticated control operations with the functions of consciousness. (shrink)

The current discourse of New Materialism seeks to chart a way of addressing our contemporary predicament around environmental destruction through reassessing our relationship and attitudes to matter. This book argues that the panentheism of the 11th century Indian Hindu thinker Abhinavagupta offers a cogent philosophical model that gives us new ways of thinking about matter, which can help a contemporary New Materialist thought. What makes panentheism an attractive model for Abhinavagupta's philosophy is its Tantric impetus towards both the (...) materiality of the world and the transcendence of divinity, proposing a philosophy that finds consciousness-a subjectivity as, and at the very core of matter. With this, Abhinavagupta's articulation of a foundational and encompassing subjectivity proposes a panentheist solution to a familiar conundrum, one we still grapple with today-that is: how does consciousness, which is so unlike matter, how does it actually connect to the materiality of our world? In familar 21st century terms, how does mind connect to body? This book brings this question to bear in comparative fashion on contemporary issues: our current concerns around what is sentient-animals? viruses? artificial intelligence?-set in relation to Abhinavagupta's articulation of what gives rise to sentience via his use of the term vimarśa; our current conceptions of information as data-articulated in juxtaposition to Abhinavagupta's theology of mantra, mystic sound; examining Abhinavagupta's use of wonder (camatkāra) as as a philosophical concept, and how his cosmological system (tattva) underwrites his understanding of a foundational subjectivity. (shrink)

According to how AI has defined itself from its beginning, thinking in non-living matter, i.e., without life, is possible. The premise of symbolic AI is that operating on representations of reality machines can understand it. When this assumption did not work as expected, the mathematical model of the neuron became the engine of artificial “brains.” Connectionism followed. Currently, in the context of Machine Learning success, attempts are made at integrating the symbolic and connectionist paths. There is hope that Artificial (...) General Intelligence (AGI) performance can be achieved. As encouraging as neuro-symbolic AI seems to be, it remains unclear whether AGI is actually a moving target as long as AI itself remains ambiguously defined. This paper makes the argument that the intelligence of machines, expressed in their performance, reflects how adequate the means used for achieving it are. Therefore, energy use and the amount of data necessary qualify as a good metric for comparing natural and artificial performance. (shrink)

This groundbreaking proceedings volume explores the integration of Artificial Intelligence (AI) across key domains—healthcare, finance, education, robotics, industrial and other engineering applications —unveiling its transformative potential and practical implications. With a multidisciplinary lens, it transcends technical aspects, fostering a comprehensive understanding while bridging theory and practice. Approaching the subject matter with depth, the book combines theoretical foundations with real-world case studies, empowering researchers, professionals, and enthusiasts with the knowledge and tools to effectively harness AI. Encompassing diverse AI topics—machine learning, (...) natural language processing, computer vision, data analytics and supervisory control — the volume showcases state-of-the-art techniques propelling AI advancements. Structured into four parts: Part 1: Artificial Intelligence (AI), explores evolving deep neural networks, reinforcement learning, and explainable AI, providing a deep dive into the technical foundations of AI advancements. Part 2: Robotics and Control Systems, delves into the integration of AI in robotics and automatic control, addressing supervisory control, automated robotic movement coordination, anomaly detection, dynamic programming, and fault tolerance, offering insights into the evolving landscape of intelligent automation. Part 3: AI and Society, examines the societal impact of AI through chapters on ethical considerations, economic growth, environmental engagements, and hazard management, providing a holistic perspective on AI's role in shaping society. Part 4: PhD Symposium, presents the future of AI through cutting-edge research, covering legal and ethical dimensions, privacy considerations, and computationally efficient solutions, offering a glimpse into the next generation of AI advancements. Catering to a diverse audience—from industry leaders to students—the volume consolidates the expertise of renowned professionals, serving as a comprehensive resource for navigating the ever-evolving AI landscape. An essential reference for those staying at the forefront of AI developments. (shrink)

The focus of this paper is the following claim: as a purely conceptual matter, the moral truths could be pretty much anything, and we should assume this in assessing our reliability at grasping moral truths. This claim, which I call No Content, plays a key role in an important skeptical argument against realist moral knowledge – the Normative Lottery Argument. In this paper, I argue that moral realists can, and should, reject No Content. My argument centers on the idea (...) of practical intelligibility. I explore different aspects of practical intelligibility, and I argue that such intelligibility sets a constraint on the possibilities we should consider when assessing our reliability at grasping moral truths. (shrink)