Spermatozoa reach the fallopian tube during ovulation by traveling through the female reproductive tract mucus. This non‐Newtonian viscoelastic medium facilitates spermatozoon movement to accomplish fertilization or, in some cases, blocks spermatozoon movement, leading to infertility. While rheological properties are known to affect spermatozoon motility with in vitro models using synthetic polymers, their precise effects in vivo are understudied. This paper reviews the rheological measurements of reproductive tract mucus during ovulation in humans and model animals, focusing on viscosity and its potential (...) effect on spermatozoa. Mucus viscosity in the female reproductive tract's different compartments is poorly understood. While information on this subject is incomplete, most mammals appear to have a viscosity decrease along their female reproductive tracts. Based on this sparse information, we hypothesize that viscosity changes in female reproductive tracts may guide spermatozoa to eggs, a novel concept that could improve our understanding of reproductive biology. (shrink)

The convergence of humans and artificial intelligence (AI) systems introduces new dynamics into the cultural and intellectual landscape. Complementing emerging cultural evolution concepts such as machine culture, AI agents represent a significant techno-sociological development, particularly within the anthropological study of Web3 as a community focused on decentralization through blockchain. Despite their growing presence, the cultural significance of AI agents remains largely unexplored in academic literature. Toward this end, we conceived hybrid netnography, a novel interdisciplinary approach that examines the cultural and (...) intellectual dynamics within digital ecosystems by analyzing the interactions and contributions of both human and AI agents as co-participants in shaping narratives, ideas, and cultural artifacts. We argue that, within the Web3 community on the social media platform X, these agents challenge traditional notions of participation and influence in public discourse, creating a “hybrid marketplace of ideas”—a conceptual space where human- and AI-generated ideas coexist and compete for attention. We examine the current state of AI agents in idea generation, propagation, and engagement, positioning their role as cultural agents through the lens of memetics and encouraging further inquiry into their cultural and societal impact. Additionally, we address the implications of this paradigm for privacy, intellectual property, and governance, highlighting the societal and legal challenges of integrating AI agents into the hybrid marketplace of ideas. (shrink)

The blockchain social movement led to the emergence of Web3, a new, token-orchestrated iteration of the World Wide Web comprised of decentralized applications. With Web3, users can adopt a unique digital identity, known as a self-sovereign identity, that allows them to have access to their data and be central administrators of their transportable and interoperable identity. An inherent feature of digital identity in Web3 is that, in some cases, it can live forever. Web3 users, therefore, may accumulate digital assets, such (...) as non-fungible tokens, in an attempt to leave a digital legacy behind. Terror-management theory, a social and evolutionary psychology theory, was theoretically applied to the act of digital asset accumulation as a potential mechanism of escaping death-related fears. In contrast, the current uses of non-fungible tokens (ie, proof-of-ownership) and soulbound tokens (ie, proof-of-character) were evaluated from a Logotherapy perspective to inform how Web3 could evolve toward a Decentralized Society. (shrink)

One of the major values of animal ethical theory can be found in the light it sheds on practical ethical problems involving animals. McCulloch and Reiss’ paper does precisely this regarding the culling of badgers in England to limit the spread of tuberculosis. Perspicaciously realizing that societal ethics represents a combination of utilitarian and rights-based theorizing, the authors apply both of these perspectives to the issue, noting that both theoretical approaches generate a rejection of culling in the presence of (...) other viable alternatives. In addition, the authors suggest and defend the use of an Animal Welfare Impact Assessment tool to assess the impact of various management approaches on the animals, and demonstrate its congruence with both the ethical theories considered, and with societal moral attitudes. In this way, they show that their conclusion is directly compatible with the societal ethic, in my view a major prerequisite for effecting social change. (shrink)

Autonomous AI agents present transformative opportunities and significant governance challenges. Existing frameworks, such as the EU AI Act and the NIST AI Risk Management Framework, fall short of addressing the complexities of these agents, which are capable of independent decision-making, learning, and adaptation. To bridge these gaps, we propose the ETHOS (Ethical Technology and Holistic Oversight System) framework—a decentralized governance (DeGov) model leveraging Web3 technologies, including blockchain, smart contracts, and decentralized autonomous organizations (DAOs). ETHOS establishes a global registry for AI (...) agents, enabling dynamic risk classification, proportional oversight, and automated compliance monitoring through tools like soulbound tokens and zero-knowledge proofs. Furthermore, the framework incorporates decentralized justice systems for transparent dispute resolution and introduces AI-specific legal entities to manage limited liability, supported by mandatory insurance to ensure financial accountability and incentivize ethical design. By integrating philosophical principles of rationality, ethical grounding, and goal alignment, ETHOS aims to create a robust research agenda for promoting trust, transparency, and participatory governance. This innovative framework offers a scalable and inclusive strategy for regulating AI agents, balancing innovation with ethical responsibility to meet the demands of an AI-driven future. (shrink)

Cooperation is vital to our survival and progress. Evolutionary game theory offers a lens to understand the structures and incentives that enable cooperation to be a successful strategy. As artificial intelligence agents become integral to human systems, the dynamics of cooperation take on unprecedented significance. The convergence of human-agent teaming, contract theory, and decentralized frameworks like Web3—grounded in transparency, accountability, and trust—offers a foundation for fostering cooperation by establishing enforceable rules and incentives for humans and AI agents. We conceptualize Incentivized (...) Symbiosis as a social contract between humans and AI, inspired by Web3 principles and encoded in blockchain technology, to define and enforce rules, incentives, and consequences for both parties. By exploring this paradigm, we aim to catalyze new research at the intersection of systems thinking in AI, Web3, and society, fostering innovative pathways for cooperative human-agent coevolution. (shrink)

A computational theory of consciousness should include a quantitative measure of consciousness, or MoC, that (i) would reveal to what extent a given system is conscious, (ii) would make it possible to compare not only different systems, but also the same system at different times, and (iii) would be graded, because so is consciousness. However, unless its design is properly constrained, such an MoC gives rise to what we call the boundary problem: an MoC that labels a system as conscious (...) will do so for some – perhaps most – of its subsystems, as well as for irrelevantly extended systems (e.g., the original system augmented with physical appendages that contribute nothing to the properties supposedly supporting consciousness), and for aggregates of individually conscious systems (e.g., groups of people). This problem suggests that the properties that are being measured are epiphenomenal to consciousness, or else it implies a bizarre proliferation of minds. We propose that a solution to the boundary problem can be found by identifying properties that are intrinsic or systemic: properties that clearly differentiate between systems whose existence is a matter of fact, as opposed to those whose existence is a matter of interpretation (in the eye of the beholder). We argue that if a putative MoC can be shown to be systemic, this ipso facto resolves any associated boundary issues. As test cases, we analyze two recent theories of consciousness in light of our definitions: the Integrated Information Theory and the Geometric Theory of consciousness. (shrink)

The agentic web refers to a vision of the internet where AI agents play a central role in facilitating interactions, automating tasks, and enhancing user experiences. Realizing this vision requires us to rethink how we govern the internet. Within the agentic web, the promise of AI systems becoming more decentralized and autonomous represents unique challenges and opportunities for governance, necessitating innovative approaches to ensure responsible integration into society. Toward this end, we propose the Know Your Agent framework, designed to manage (...) Decentralized AI agents through identity verification, behavioral monitoring, and accountability mechanisms. Our approach integrates protocol science and legal engineering, utilizing blockchain technology to support these efforts. (shrink)

Don Marquis' future‐like‐ours account is regarded as the best secular anti‐abortion position because he frames abortion as a wrongful killing via deprivation of a valuable future. Marquis objects to the reductio ad absurdum of contraception as being immoral because it is too difficult to identify an individual that is deprived of a future. To demonstrate why Marquis’ treatment of the contraception reductio is flawed by his own future‐like‐ours line of reasoning, I offer an argument for why there is indeed a (...) candidate for harm—the ovum—for it can be viewed as providing the functional foundation for a new life through (1) mitochondrial DNA inheritance, (2) paternal histone restructuring during fertilization, and (3) ability to initiate parthenogenesis. As evidenced by these distinct and natural features of ova, candidate (2) “some ovum or other” should be morally prioritized as the direct candidate for harm in the contraception reductio. By assessing the philosophical inconsistencies in Marquis’ future‐like‐ours argument, this paper provides strong metaphysical grounds for rejecting the best secular anti‐abortion position. (shrink)

Current approaches to AI governance often fall short in anticipating a future where AI agents manage critical tasks, such as financial operations, administrative functions, and beyond. As AI agents may eventually delegate tasks among themselves to optimize efficiency, understanding the foundational principles of human value exchange could offer insights into how AI-driven economies might operate. Just as trust and value exchange are central to human interactions in open marketplaces, they may also be critical for enabling secure and efficient interactions among (...) AI agents. While cryptocurrencies could serve as the foundation for monetizing value exchange in a collaboration and delegation dynamic among AI agents, a critical question remains: how can these agents reliably determine whom to trust, and how can humans ensure meaningful oversight and control as an economy of AI agents scales and evolves? This paper is a call for a collective exploration of cryptoeconomic incentives, which can help design decentralized governance systems that allow AI agents to autonomously interact and exchange value while ensuring human oversight via progressive decentralization. Toward this end, I propose a research agenda to address the question of agent-to-agent trust using AgentBound Tokens (ABTs)—non-transferable, non-fungible tokens uniquely tied to individual AI agents, akin to Soulbound tokens for humans in Web3. By staking ABTs as collateral for autonomous actions within an agent-to-agent network via a proof-of-stake mechanism, agents may be incentivized towards ethical behavior, and penalties for misconduct are automatically enforced. (shrink)

A recently proposed model of sensory processing suggests that perceptual experience is updated in discrete steps. We show that the data advanced to support discrete perception are in fact compatible with a continuous account of perception. Physiological and psychophysical constraints, moreover, as well as our awake-primate imaging data, imply that human neuronal networks cannot support discrete updates of perceptual content at the maximal update rates consistent with phenomenology. A more comprehensive approach to understanding the physiology of perception (and experience at (...) large) is therefore called for, and we briefly outline our take on the problem. (shrink)

In this book, Reiss argues in favor of a tight fit between evidence, concept and purpose in our causal investigations in the sciences. There is no doubt that the sciences employ a vast array of techniques to address causal questions such as controlled experiments, randomized trials, statistical and econometric tools, causal modeling and thought experiments. But how do these different methods relate to each other and to the causal inquiry at hand? Reiss argues that there is no "gold (...) standard" in settling causal issues against which other methods can be measured. Rather, the various methods of inference tend to be good only relative to certain interpretations of the word "cause", and each interpretation, in turn, helps to address some salient purpose but not others. The main objective of this book is to explore the metaphysical and methodological consequences of this view in the context of numerous cases studies from the natural and social sciences. (shrink)

Philosophy of Economics: A Contemporary Introduction is the first systematic textbook in the philosophy of economics. It introduces the epistemological, metaphysical and ethical problems that arise in economics, and presents detailed discussions of the solutions that have been offered. Throughout, philosophical issues are illustrated by and analysed in the context of concrete cases drawn from contemporary economics, the history of economic ideas, and actual economic events. This demonstrates the relevance of philosophy of economics both for the science of economics and (...) for the economy. This text will provide an excellent introduction to the philosophy of economics for students and interested general readers alike. (shrink)

What is the correct concept behind measures of inflation? Does money cause business activity or is it the other way around? Shall we stimulate growth by raising aggregate demand or rather by lowering taxes and thereby providing incentives to produce? Policy-relevant questions such as these are of immediate and obvious importance to the welfare of societies. The standard approach in dealing with them is to build a model, based on economic theory, answer the question for the model world and then (...) apply the results to economic phenomena outside. Data come in, if at all, only in testing a limited number of the model's consequences. Despite some critical voices, economic methodology too has by and large subscribed to a "theory first" approach to applied economics. Error in Economics systematically develops an alternative to the theory-based orthodoxy. It places the methodical study of evidence at the centre of the scientific enterprise and thus provides a foundation for a methodology of evidence-based economics. But the book does not stop at the truism that claims should be based on the best available evidence. Rather, detailed studies in the areas of measurement, causal inference and policy analysis show what it means for a claim to be evidence-based in the context of a concrete case. The examples discussed concern topics as diverse as consumer price indices, radio spectrum auctions, the transmission mechanism, natural experiments on minimum wages and the evaluation of counterfactuals for policy. Error in Economics is essential reading for economic methodologists, philosophers of science and anyone interested in how claims about socio-economic matters are validated. (shrink)

ABSTRACTTaking some controversial claims philosopher Jason Brennan makes in his book Against Democracy as a starting point, this paper argues in favour of two theses: There is No Such Thing as Superior Political Judgement; There Is No Such Thing as Uncontroversial Social Scientific Knowledge. I conclude that social science experts need to be kept in check, not given more power.

The concept of representation has been a key element in the scientific study of mental processes, ever since such studies commenced. However, usage of the term has been all but too liberal—if one were to adhere to common use it remains unclear if there are examples of physical systems which cannot be construed in terms of representation. The problem is considered afresh, taking as the starting point the notion of activity spaces—spaces of spatiotemporal events produced by dynamical systems. It is (...) argued that representation can be analyzed in terms of the geometrical and topological properties of such spaces. Several attributes and processes associated with conceptual domains, such as logical structure, generalization and learning are considered, and given analogues in structural facets of activity spaces, as are misrepresentation and states of arousal. Based on this analysis, representational systems are defined, as is a key concept associated with such systems, the notion of representational capacity. According to the proposed theory, rather than being an all or none phenomenon, representation is in fact a matter of degree—that is can be associated with measurable quantities, as is behooving of a putative naturalistic construct. (shrink)

In this article we introduce a logical structure for normative reasoning, called Normative Detachment Structure with Ideal Conditions, that can be used to represent the content of certain legal texts in a normalized way. The structure exploits the deductive properties of a system of bimodal logic able to distinguish between ideal and actual normative statements, as well as a novel formalization of conditional normative statements able to capture interesting cases of contrary-to-duty reasoning and to avoid deontic paradoxes. Furthermore, we illustrate (...) how the theoretical framework proposed can be mechanized to get an automated procedure of query-answering on an example of legal text. (shrink)

Thought experiments are ubiquitous in science and especially prominent in domains in which experimental and observational evidence is scarce. One such domain is the causal analysis of singular events in history. A long‐standing tradition that goes back to Max Weber addresses the issue by means of ‘what‐if’ counterfactuals. In this paper I give a descriptive account of this widely used method and argue that historians following it examine difference makers rather than causes in the philosopher’s sense. While difference making is (...) neither necessary nor sufficient for causation, to establish difference makers is more consistent with the historians’ more ultimate purposes. †To contact the author, please write to: Department of Philosophy, Erasmus University, 3000 DR Rotterdam, The Netherlands; e‐mail: reiss@fwb.eur.nl. (shrink)

Francesco Guala once wrote that ‘The problem of extrapolation is a minor scandal in the philosophy of science’. This paper agrees with the statement, but for reasons different from Guala’s. The scandal is not, or not any longer, that the problem has been ignored in the philosophy of science. The scandal is that framing the problem as one of external validity encourages poor evidential reasoning. The aim of this paper is to propose an alternative—an alternative which constitutes much better evidential (...) reasoning about target systems of interest, and which makes do without consideration of external validity. (shrink)

This paper presents arguments that challenge what I call the fact/value separability thesis: the idea, roughly, that factual judgements can be made independently of judgements of value. I will look at arguments to the effect that facts and values are entangled in the following areas of the scientific process in economics: theory development, economic concept formation, economic modelling, hypothesis testing, and hypothesis acceptance.

Two approaches to evidential reasoning compete in the biomedical and social sciences: the experimental and the pragmatist. Whereas experimentalism has received considerable philosophical analysis and support since the times of Bacon and Mill, pragmatism about evidence has been neither articulated nor defended. The overall aim is to fill this gap and develop a theory that articulates the latter. The main ideas of the theory will be illustrated and supported by a case study on the smoking/lung cancer controversy in the 1950s.

In this paper we make a proposal for reforming biomedical research that is aimed to align re-search more closely with the so-called fair-share principle according to which the proportions of global resources as-signed to different diseases should agree with the ratios of human suffering associated with those diseases.

Recent progress in artificial intelligence has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and board games, achieving performance that equals or even beats that of humans in some respects. Despite their biological inspiration and performance achievements, these systems differ from human intelligence in crucial ways. We review progress in cognitive science suggesting that truly human-like learning and thinking (...) machines will have to reach beyond current engineering trends in both what they learn and how they learn it. Specifically, we argue that these machines should build causal models of the world that support explanation and understanding, rather than merely solving pattern recognition problems; ground learning in intuitive theories of physics and psychology to support and enrich the knowledge that is learned; and harness compositionality and learning-to-learn to rapidly acquire and generalize knowledge to new tasks and situations. We suggest concrete challenges and promising routes toward these goals that can combine the strengths of recent neural network advances with more structured cognitive models. (shrink)

All univocal analyses of causation face counterexamples. An attractive response to this situation is to become a pluralist about causal relationships. "Causal pluralism" is itself, however, a pluralistic notion. In this article, I argue in favor of pluralism about concepts of cause in the social sciences. The article will show that evidence for, inference from, and the purpose of causal claims are very closely linked. Key Words: causation • pluralism • evidence • methodology.

In this paper we make a proposal for reforming biomedical research that is aimed to align re-search more closely with the so-called fair-share principle according to which the proportions of global resources as-signed to different diseases should agree with the ratios of human suffering associated with those diseases.

A recent movement in the social sciences and philosophy of the social sciences focuses on mechanisms as a central analytical unit. Starting from a pluralist perspective on the aims of the social sciences, I argue that there are a number of important aims to which knowledge about mechanisms—whatever their virtues relative to other aims—contributes very little at best and that investigating mechanisms is therefore a methodological strategy with fairly limited applicability. Key Words: social science • mechanisms • explanation • critical (...) realism • methodology. (shrink)

One way to make philosophy of science more socially relevant is to attend to specific scientific practises that affect society to a great extent. One such practise is biomedical research. This paper looks at contemporary U.S. biomedical research in particular and argues that it suffers from important epistemic, moral and socioeconomic failings. It then discusses and criticises existing approaches to improve on the status quo, most prominently by Thomas Pogge (a political philosopher), Joseph Stiglitz (a Nobel-prize winning economist) and James (...) Robert Brown (a philosopher of science). Finally, it sketches an alternative proposal and argues for its superiority. The proposal has four components: changing the intellectual property regime; instituting independent clinical research; aligning innovators' and patients' interests; and enacting additional regulation. (shrink)

An Aims-based Curriculum spells out a ground-breaking alternative to the familiar school curriculum constructed around a number of largely academic subjects. Its starting point is not subjects, but what schools should be for. It argues that aims are not to be seen as high-sounding principles that can be easily ignored: they are the lifeblood of everything a school does. -/- The book begins with general aims to do with equipping each learner to lead a personally fulfilling life, and to help (...) others to do so too. From these, they derive more specific aims covering the personal qualities, skills and understanding needed for a life of personal, civic and vocational well-being. -/- The second half of the book, on political realities of implementation, takes this process of aims-derivation further. Some of its detailed aims, but by no means all, overlap with conventional curriculum objectives. It also looks at the role of the state in curriculum decisions, as well as the implications of the book’s central argument for student choice, school ethos, assessment, inspection and teacher education . (shrink)

Jeffrey Friedman’s Power Without Knowledge argues forcefully that there are inherent limitations to the predictability of human action, due to a circumstance he calls “ideational heterogeneity.” However, our resources for predicting human action somewhat reliably in the light of ideational heterogeneity have not been exhausted yet, and there are no in-principle barriers to progress in tackling the problem. There are, however, other strong reasons to think that disagreement among epistocrats is bound to persist, such that it will be difficult to (...) decide who has “the right answer” to a given technocratic problem. These reasons have to do with competing visions of the good society, fact/value entanglement, and the fragility of the facts of the social sciences. (shrink)

The purpose of this paper was to determine whether the individual attributes of locus of control, gender, major in college and years of job experience affect the acceptability of certain workplace behaviors. A total of 198 college students of a mid-sized southeastern university formed the sample for this study. Locus of control, gender and years of job experience were found to have some affect on whether an individual considered a certain behavior acceptable or unacceptable.

In this short paper, we propose a special class of quantum systems with implicit quantum uncertainties without any probability structure followed by the dynamical behavior of the systems. When a system is deterministic or random, it does not capture the essence of freedom of choice (FOC), which is the ability to make decisions followed by one’s preferences, free from both deterministic and random outcomes. The proposed special class of quantum systems contains non-deterministic yet non-random outcomes, and so they open the (...) possibility of having FOC within the systems. We also examine examples of such a special class of quantum systems that do not violate the postulates of quantum mechanics. (shrink)

Major online platforms deploy an array of policies and data-driven legislative and enforcement mechanisms, transforming economic, social, and technological powers into political might. While platforms use private law to legitimate the exercise of this form of power, the novel political relations and tools have a tremendous public impact, both on individuals’ and communities’ political freedom and on the public sphere. Digital rights literature that tends to focus on particular rights, such as privacy or freedom of expression, deals less with the (...) implications of platforms’ emerging political authority. The article addresses this lacuna by (1) analyzing the quasi-sovereign power of platforms, (2) mapping how this form of power disrupts political freedom and the public sphere, (3) revealing a theoretical trap that blocks existing attempts to address the threats and (4) developing a bottom-up approach to resolve this bind. The article proposes the creation of “Users Unions” – legal structures that create affordance for users to have a collective voice within platforms’ corporate governance and decision-making mechanisms. The proposed structural reform could mitigate the power disparities between users and online platforms and assist in respecting, protecting, and fulfilling users’ political rights. (shrink)

This paper aims (a) to provide characterizations of realism and instrumentalism that are philosophically interesting and applicable to economics; and (b) to defend instrumentalism against realism as a methodological stance in economics. Starting point is the observation that ‘all models are false’, which, or so I argue, is difficult to square with the realist's aim of truth, even if the latter is understood as ‘partial’ or ‘approximate’. The three cheers in favour of instrumentalism are: (1) Once we have usefulness, truth (...) is redundant. (2) There is something disturbing about causal structure. (3) It's better to do what one can than to chase rainbows. (shrink)

I present an alternative account of causation in the biomedical and social sciences according to which the meaning of causal claims is given by their inferential relations to other claims. Specifically, I will argue that causal claims are inferentially related to certain evidential claims as well as claims about explanation, prediction, intervention and responsibility. I explain in some detail what it means for a claim to be inferentially related to another and finally derive some implication of the proposed account for (...) the epistemology, semantics and metaphysics of causation. (shrink)

As is well understood, the values inherent in the dominant neoclassical economic paradigm are self- interest and optimisation. These are the values that guide individuals and policymakers in advanced capitalist economies in their economic decision making. As a consequence, the economics discipline, arguably, is insufficiently oriented to helping people and organisations make wise choices, choices about what is really and truly in people's best interests. In other words, there is strong reason to believe that economics has a wisdom deficit. This (...) paper draws on great philosophers such as Aristotle to explain what wisdom is and why, although economics is concerned with the normative aspect of decision making, economics has too infrequently been used to help people or their societies make wise decisions. This paper is also concerned with how a society's economic decision-making processes can be improved in order that these processes incorporate a much greater dose of wisdom. One relevant question here is: can we learn with the help of philosophers, psychologists and organisation researchers how to make economic decisions that apply the practical wisdom that Aristotle advocated? This paper's overall purpose is first to point the way toward greater decision-making wisdom, and second to propose one method for improving the wisdom of important economic-related decision making. Hopefully, this paper will serve to put the issue of decision-making wisdom higher on the agenda of economists and, as a consequence, lead to wiser decisions in the economic sphere, thereby reducing the wisdom deficit. (shrink)

In the present work we illustrate how two sorts of defeasible reasoning that are fundamental in the normative domain, that is, reasoning about exceptions and reasoning about violations, can be simulated via monotonic propositional theories based on a bimodal language with primitive operators representing knowledge and obligation. The proposed theoretical framework paves the way to using native theorem provers for multimodal logic, such as MleanCoP, in order to automate normative reasoning.

This paper explores Kierkegaard’s method of irony and his distinct conception of temporality through the philosophy of Emmanuel Levinas. It suggests that Kierkegaard makes an ironic use of the term ‘sacrifice.’ Rather than asking us to abandon all human preferential relationships in favor of an abstract (religious) love to an anonymous neighbor, it advances the view that Kierkegaard’s prime objective is therapeutic. Kierkegaard seeks to disabuse us of the idea that we can fully possess faith, or indeed, anything meaningful whatsoever, (...) such as the love that pulsates in our hearts for a family member, romantic partner, friend, or even to ourselves. (shrink)

_Existential and Spiritual Issues in Death Attitudes_ provides: an in-depth examination of death attitudes, existentialism, and spirituality and their relationships; a review of the major theoretical models; clinical applications of these models to issues such as infertility, bereavement, anxiety, and suicide; and an introduction to meaning management theory and how it can be applied to grief counseling. In this new volume, death is treated both as a threat to meaning and as an opportunity to create meaning. The first section introduces (...) theory and methodology to connect the latest empirical research on death attitudes to the philosophical/psychological existential and spirituality literature. Part II presents the latest empirical research on subjects such as end-of-life decisions and living with HIV. The final section considers therapeutic applications to issues including suicide, infertility, bereavement, and anxiety. The concluding chapter highlights the book’s common themes and provides questions to encourage further investigation of the most critical topics. Psychologists, counselors, social workers, physicians, nurses, and religious leaders, as well as academics in the fields of psychology, gerontology, philosophy, religion, counseling, social work, sociology, and medicine will value this new resource. Main points summarize important ideas of each chapter, making it an appropriate text in courses on death and dying and/or and spirituality. Its clinical applications will appeal to practicing professionals. (shrink)

Cushman's rationalization account can be extended to cover another part of his portrayal of representational exchange: thought experiments that lead to conclusions about the self. While Cushman's argument is compelling, a full account of rationalization as adaptive will need to account for the divergence in rationalizing one's actions compared to the actions of others.

In recent years discussions centered around digital inheritance have increased among social media users and across blockchain ecosystems. As a result digital assets such as social media content cryptocurrencies and non-fungible tokens have become increasingly valuable and widespread, leading to the need for clear and secure mechanisms for transferring these assets upon the testators death or incapacitation. This study proposes a framework for digital inheritance using soulbound tokens and the social recovery pallet as a use case in the Polkadot and (...) Kusama blockchain networks. The findings discussed within this study suggest that while soulbound tokens and the social recovery pallet offer a promising solution for creating a digital inheritance plan the findings also raise important considerations for testators digital executors and developers. While further research is needed to fully understand the potential impacts and risks of other technologies such as artificial intelligence and quantum computing this study provides a primer for users to begin planning a digital inheritance strategy and for developers to develop a more intuitive solution. (shrink)