As systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications, understanding these black box models has become paramount. In response, Explainable AI (XAI) has emerged as a field of research with practical and ethical benefits across various domains. This paper not only highlights the advancements in XAI and its application in real-world scenarios but also addresses the ongoing challenges within XAI, emphasizing the need for broader perspectives and collaborative efforts. We bring together experts from diverse (...) fields to identify open problems, striving to synchronize research agendas and accelerate XAI in practical applications. By fostering collaborative discussion and interdisciplinary cooperation, we aim to propel XAI forward, contributing to its continued success. Our goal is to put forward a comprehensive proposal for advancing XAI. To achieve this goal, we present a manifesto of 27 open problems categorized into nine categories. These challenges encapsulate the complexities and nuances of XAI and offer a road map for future research. For each problem, we provide promising research directions in the hope of harnessing the collective intelligence of interested stakeholders. (shrink)

What explains the truth of a universal generalization? Two types of explanation can be distinguished. While an ‘instance-based explanation’ proceeds via some or all instances of the generalization, a ‘generic explanation’ is independent of the instances, relying instead on completely general facts about the properties or operations involved in the generalization. This intuitive distinction is analyzed by means of a truthmaker semantics, which also sheds light on the correct logic of quantification. On the most natural version of the semantics, this (...) analysis vindicates some claims made—without a proper defense—by Michael Dummett, Solomon Feferman, and others. Where instance-based explanations are freely available, classical logic is shown to be warranted. By contrast, intuitionistic logic remains warranted regardless of what explanations are available. (shrink)

Both in everyday life and in moral philosophy, many think that our own past wrongdoing can undermine our standing to indignantly blame others for similar wrongdoing. In recent literature on the ethics of blame, we find two different kinds of explanation for this. Relative moral status accounts hold that to have standing to blame, you must be better than the person you are blaming, in terms of compliance with the norm. Fault-based accounts hold that those who blame others for things (...) of which they are also guilty exhibit familiar moral faults, such as making an exception of oneself, and that these faults explain why they lack standing. I argue in support of relative moral status accounts, showing that they both better trace our practice of dismissing blame on the basis of lack of standing, and that they have more explanatory resources than have been appreciated. (shrink)

Many artificial intelligence (AI) systems currently used for decision-making are opaque, i.e., the internal factors that determine their decisions are not fully known to people due to the systems’ computational complexity. In response to this problem, several researchers have argued that human decision-making is equally opaque and since simplifying, reason-giving explanations (rather than exhaustive causal accounts) of a decision are typically viewed as sufficient in the human case, the same should hold for algorithmic decision-making. Here, I contend that this argument (...) overlooks that human decision-making is sometimes significantly more transparent and trustworthy than algorithmic decision-making. This is because when people explain their decisions by giving reasons for them, this frequently prompts those giving the reasons to govern or regulate themselves so as to think and act in ways that confirm their reason reports. AI explanation systems lack this self-regulative feature. Overlooking it when comparing algorithmic and human decision-making can result in underestimations of the transparency of human decision-making and in the development of explainable AI that may mislead people by activating generally warranted beliefs about the regulative dimension of reason-giving. (shrink)

There has been a push in recent years to provide better explanations for how AIs make their decisions. Most of this push has come from the ethical concerns that go hand in hand with AIs making decisions that affect humans. Outside of the strictly ethical concerns that have prompted the study of explainable AIs (XAIs), there has been research interest in the mere possibility of creating XAIs in various domains. In general, the more accurate we make our models the harder (...) they are to explain. Go playing AIs like AlphaGo and KataGo provide fantastic examples of this phenomenon. In this paper, I discuss a non-exhaustive list of the leading theories of explanation and what each of these theories would say about the explainability of AI-played moves of Go. Finally, I consider the possibility of ever explaining AI-played Go moves in a way that meets the four principles of XAI. I conclude, somewhat pessimistically, that Go is not as imminently explainable as other domains. As such, the probability of having an XAI for Go that meets the four principles is low. (shrink)

There has been much debate recently on the question whether essence can explain modality. Here, I examine two routes to an essentialist account of modality. The first is Hale's argument for the necessity of essence, which I will argue is — notwithstanding recent attempted defences of it — invalid by its very structure. The second is the proposal that it is essential to essential truth that it is necessary. After offering three possible versions of the view, I will argue that (...) each fails to provide a metaphysical explanation of necessity in terms of essence. (shrink)

​Imagination will remain a mystery—we will not be able to explain imagination—until we can break it into parts we already understand. Explaining Imagination is a guidebook for doing just that, where the parts are other ordinary mental states like beliefs, desires, judgments, and decisions. In different combinations and contexts, these states constitute cases of imagining. This reductive approach to imagination is at direct odds with the current orthodoxy, according to which imagination is a sui generis mental state or process—one with (...) its own inscrutable principles of operation. Explaining Imagination upends that view, showing how, on closer inspection, the imaginings at work in hypothetical reasoning, pretense, the enjoyment of fiction, and creativity are reducible to other familiar mental states—judgments, beliefs, desires, and decisions among them. Crisscrossing contemporary philosophy of mind, cognitive science, and aesthetics, Explaining Imagination argues that a clearer understanding of imagination is already well within reach. (shrink)

The increasing prevalence of mental health issues, particularly stress, has necessitated the development of data-driven, interpretable machine learning models for early detection and intervention. This study leverages multimodal data, including activity levels, perceived stress scores (PSS), and event counts, to predict stress levels among individuals. A series of models, including Logistic Regression, Random Forest, Gradient Boosting, and Neural Networks, were evaluated for their predictive performance. Results demonstrated that ensemble models, particularly Random Forest and Gradient Boosting, performed significantly better compared to (...) Logistic Regression. Random Forest achieved an accuracy of 73%, while Gradient Boosting delivered a balanced precision-recall tradeoff with an accuracy of 72%. Gradient Boosting outperformed in identifying high-stress instances, achieving a recall of 70%, making it the most reliable model for stress prediction. Explainable AI (XAI), which refers to the ability of machine learning models to provide transparent and understandable explanations for their predictions, was employed in this study using SHAP (SHapley Additive exPlanations). SHAP values revealed that Perceived Stress Score (PSS) had the most significant impact on predictions, followed by event count and activity inference. Higher PSS scores strongly correlated with high-stress predictions, while increased event counts and activity levels were associated with lower stress. These findings underscore the importance of incorporating behavioral patterns in stress diagnostics and highlight the utility of explainable models in improving transparency, trust, and usability for clinical decision-making. This research establishes a robust foundation for deploying interpretable machine learning systems to support mental health diagnostics and enhance clinician decision support. (shrink)

Explaining the behaviour of ecosystems is one of the key challenges for the biological sciences. Since 2000, new-mechanicism has been the main model to account for the nature of scientific explanation in biology. The universality of the new-mechanist view in biology has been however put into question due to the existence of explanations that account for some biological phenomena in terms of their mathematical properties (mathematical explanations). Supporters of mathematical explanation have argued that the explanation of the behaviour of ecosystems (...) is usually provided in terms of their mathematical properties, and not in mechanistic terms. They have intensively studied the explanation of the properties of ecosystems that behave following the rules of a non-random network. However, no attention has been devoted to the study of the nature of the explanation in those that form a random network. In this paper, we cover that gap by analysing the explanation of the stability behaviour of the microbiome recently elaborated by Coyte and colleagues, to determine whether it fits with the model of explanation suggested by the new-mechanist or by the defenders of mathematical explanation. Our analysis of this case study supports three theses: (1) that the explanation is not given solely in terms of mechanisms, as the new-mechanists understand the concept; (2) that the mathematical properties that describe the system play an essential explanatory role, but they do not exhaust the explanation; (3) that a non-previously identified appeal to the type of interactions that the entities in the network can exhibit, as well as their abundance, is also necessary for Coyte and colleagues’ account to be fully explanatory. From the combination of these three theses we argue for the necessity of an integrative pluralist view of the nature of behaviour explanation when this is given by appealing to the existence of a random network. (shrink)

Most psychological research aims to uncover generalizations about the mind that hold across subjects. Philosophical discussions of scientific explanation have focused on such generalizations, but in doing so, have often overlooked an important phenomenon: variation. Variation is ubiquitous in psychology and many other domains, and an important target of explanation in its own right. Here I characterize explananda that concern individual differences and formulate an account of what it takes to explain them. I argue that the notion of actual difference (...) making, the only causal concept in the literature that explicitly addresses variation, cannot be used to ground such an account. Instead, I propose a view on which explaining individual differences involves identifying causes that could be intervened on to reduce the variability in the population. This account provides criteria of success for explaining variation and deepens our understanding of causal explanation. (shrink)

This study presents a novel transformer-based model specifically designed for financial forecasting, integrating explainability mechanisms such as SHAP (SHapley Additive exPlanations) values and attention visualizations to enhance interpretability. Unlike previous models, which often compromise between accuracy and transparency, our approach balances predictive accuracy with interpretability, allowing stakeholders to gain deeper insights into the factors driving market changes. By revealing critical market influences through feature importance and attention maps, this model provides both robustness and transparency, catering to the needs of (...) high-stakes financial environments. (shrink)

To create fair and accountable AI and robotics, we need precise regulation and better methods to certify, explain, and audit inscrutable systems.

Essentialist facts, facts about what is essential to what, are explanatorily distinctive. They can often be appealed to in the course of metaphysically explaining some fact, while themselves serving as explanatory ends. In other words, when one arrives in the course of an explanation at an essentialist fact, it often seems like a legitimate place to stop. In certain contexts, they seem to provide a metaphysical backstop to making further explanatory demands. This paper defends the view that essentialist facts are (...) zero-grounded. Just as we can think of certain logical truths as truths derivable from the empty set of premises, we can think of the zero-grounded facts as the facts that obtain in virtue of the empty set of facts. On this picture, the essentialist facts are grounded, but they are grounded literally in nothing—grounded for free, automatically, and by default. -/- This view has been unpopular for many reasons, including concerns about the obscurity of the notion of zero-grounding. Concerns notwithstanding, I make the case that the zero-grounding view fares better than the alternative ground-theoretic accounts in making sense of certain explanatory roles essences plausibly play. After some preliminary remarks on how we should understand what an essentialist fact is as well as which ones serve as explanation stoppers, I introduce a widespread and attractive picture of what the essentialist facts are; they are domain fixing facts. I then argue that this feature of the essentialist facts well-positions them to serve as explanation stoppers. Afterwards, I argue that the zero-ground view best accommodates the domain-fixing conception of essence. (shrink)

Determining the human activity that social processes consist in is a central task for the philosophy of the social sciences. This paper asks: which conception of agency arising from contemporary action theory is the most suitable for social science explanation? It is argued that a movement-centered, Davidsonian picture of agency is not suitable for explaining certain social processes such as strikes and boycotts because, instead of intentional bodily movements, they are explained by the intentional omissions of agents. I propose that (...) instead of intentional bodily movements, social processes are better explained by phenomena in which an agent is taking an active relation both to her mental or bodily processes as well as to what is happening around her. Thus, to fully explain social processes, a comprehensive theory of agency that can account for intentional actions and intentional omissions and a conception of agency that includes both materialist and volitionalist aspects is needed. (shrink)

What determines the degree to which some event harms a subject? According to the counterfactual comparative account, an event is harmful for a subject to the extent that she would have been overall better off if it had not occurred. Unlike the causation based account, this view nicely accounts for deprivational harms, including the harm of death, and for cases in which events constitute a harm rather than causing it. However, I argue, it ultimately fails, since not every intrinsically bad (...) state that is counterfactually dependent on an event contributes to its degree of harm. So while the causation based account is too restrictive, the counterfactual comparative view is not restrictive enough. In light of this, I suggest an alternative, explanation based account of overall harm, according to which the degree to which some event is harmful for a subject is determined by the degree to which (crudely) the states explained by it are overall more intrinsically bad than intrinsically good for her. (shrink)

It is clear that lack of awareness of the consequences of an action can undermine moral responsibility and blame for these consequences. But when and how it does so is controversial. Sometimes an agent believing that the outcome might occur is excused because it seemed unlikely to her, and sometimes an agent having no idea that it would occur is nevertheless to blame. A low or zero degree of belief might seem to excuse unless the agent “should have known better”, (...) but it is unclear how to spell out this normative condition. -/- This chapter combines (a) an independently motivated account of responsibility, blame, and credit as grounded in a normal explanatory relation between agential qualities and objects of responsibility with (b) the familiar Strawsonian idea that moral blame and credit depend on the agent’s quality of will. The resulting explanatory quality of will condition on moral responsibility is then further motivated by being shown to account for the effects on moral blame and credit of justifications, as well as of excuses and undermined control in cases not involving ignorance. -/- The explanatory quality of will condition is finally applied to cases involving various degrees of lack of awareness. Though this condition itself involves no awareness requirement, it is shown how it accounts for the degrees to which lack of awareness can excuse. It is also explained how lack of awareness fails as an excuse exactly when the agent should have known better and can be blamed for not doing so. (shrink)

The physical realm is causally closed, according to physicalists like me. But why is it causally closed, what metaphysically explains causal closure? I argue that reductive physicalists are committed to one explanation of causal closure to the exclusion of any independent explanation, and that as a result, they must give up on using a causal argument to attack mind–body dualism. Reductive physicalists should view dualism in much the way that we view the hypothesis that unicorns exist, or that the Kansas (...) City Royals won the 2003 World Series: false, but not objectionable in any distinctively causal way. My argument turns on connections between explanation, counterfactuals, and inductive confirmation. (shrink)

Scientific realists have claimed that the posit that our theories are (approximately) true provides the best or the only explanation for their success . In response, I revive two non-realists explanations. I show that realists, in discarding them, have either misconstrued the phenomena to be explained or mischaracterized the relationship between these explanations and their own. I contend nonetheless that these non-realist competitors, as well as their realist counterparts, should be rejected; for none of them succeed in explaining a significant (...) list of successes. I propose a related non-realist explanation of success that appears to be the most suitable among those considered. (shrink)

Over the course of human history there appears to have been a global shift in moral values towards a broadly ‘liberal’ orientation. Huemer argues that this shift better accords with a realist than an antirealist metaethics: it is best explained by the discovery of mind-independent truths through intuition. In this article I argue, contra Huemer, that the historical data are better explained assuming the truth of moral antirealism. Realism does not fit the data as well as Huemer suggests, whereas antirealists (...) have underappreciated resources to explain the relevant historical dynamics. These resources include an appeal to socialization, to technological and economical convergences, to lessons learned from history, to changes induced by consistency reasoning and to the social function of moral norms in overcoming some of the cooperation problems that globalizing societies face. I point out that the realist’s explanans has multiple shortcomings, that the antirealist’s explanans has several explanatory virtues, and conclude that the latter provides a superior account of the historical shift towards liberal values. (shrink)

This commentary focuses on explaining the intuition of revelation, an issue that Chalmers (2018) raises in his paper. I first sketch how the truth of revelation provides an explanation for the intuition of revelation, and then assess a physicalist proposal to explain the intuition that appeals to Derk Pereboom’s (2011, 2016, 2019) qualitative inaccuracy hypothesis.

Usually, the B-theory of time is taken to involve the claim that time does not, in reality, pass; after all, on the B-theory, nothing really becomes present and then more and more past, times do not come into existence successively, and which facts obtain does not change. For this reason, many B-theorists have recently tried to explain away one or more aspect(s) of experience that they and their opponents take to constitute an experience of time as passing. In this paper, (...) I examine three prominent proposals of this kind and argue that, though intriguing, the proposals undermine, to some extent, the assumption that there is an element of experience that B-theorists need to take to be illusory. (shrink)

Molinists hold that there are contingently true counterfactuals about what agents would do if put in specific circumstances, that God knows these prior to creation, and that God uses this knowledge in choosing how to create. In this essay we critique Molinism, arguing that if these theses were true, agents would not be free. Consider Eve’s sinning upon being tempted by a serpent. We argue that if Molinism is true, then there is some set of facts that fully explains both (...) Eve’s action and everything else Eve does that influences that action; and that if this is the case, Eve does not act freely. The first premise of this argument follows from the explanatory relations the Molinist is committed to, and the second premise follows from libertarian intuitions about free will. (shrink)

In some cases, there appears to be an asymmetry in the evidential value of statistical and more individualized evidence. For example, while I may accept that Alex is guilty based on eyewitness testimony that is 80% likely to be accurate, it does not seem permissible to do so based on the fact that 80% of a group that Alex is a member of are guilty. In this paper I suggest that rather than reflecting a deep defect in statistical evidence, this (...) asymmetry might arise from a general constraint on rational inquiry. Plausibly the degree of evidential support needed to justify taking a proposition to be true depends on the stakes of error. While relying on statistical evidence plausibly raises the stakes by introducing new kinds of risk to members of the reference class, paradigmatically `individualized' evidence---evidence tracing back to A's voluntary behavior---can lower the stakes. The net result explains the apparent evidential asymmetry without positing a deep difference in the brute justificatory power of different types of evidence. (shrink)

This paper explores the prospects of combining two views. The first view is metaphysical rationalism : all things have an explanation. The second view is metaphysical essentialism: there are real essences. The exploration is motivated by a conflict between the views. Metaphysical essentialism posits facts about essences. Metaphysical rationalism demands explanations for all facts. But facts about essences appear to resist explanation. I consider two solutions to the conflict. Exemption solutions attempt to exempt facts about essences from the demand for (...) explanation. Explanation solutions attempt to explain facts about essences. I argue that exemption solutions are less promising than explanation solutions. I then consider how explanation solutions might be developed. I suggest that a “generative” approach is most promising. I tentatively conclude that the prospects for combining metaphysical rationalism and metaphysical essentialism turn on the viability of a generative approach. This sets the agenda for defending the combination as well as the more general project of explaining essences. (shrink)

In this paper, we present and defend a natural yet novel analysis of normative reasons. According to what we call support-explanationism, for a fact to be a normative reason to φ is for it to explain why there's normative support for φ-ing. We critically consider the two main rival forms of explanationism—ought-explanationism, on which reasons explain facts about ought, and good-explanationism, on which reasons explain facts about goodness—as well as the popular Reasons-First view, which takes the notion of a normative (...) reason to be normatively fundamental. Support-explanationism, we argue, enjoys many of the virtues of these views while avoiding their drawbacks. We conclude by exploring several further important implications: among other things, we argue that the influential metaphor of ‘weighing’ reasons is inapt, and propose a better one; that, contrary to what Berker (2019) suggests, there's no reason for non-naturalists about normativity to accept the Reasons-First view; and that, contrary to what Wodak (2020b) suggests, explanationist views can successfully accommodate what he calls ‘redundant reasons’. (shrink)

For some reason, participants hold agents more responsible for their actions when a situation is described concretely than when the situation is described abstractly. We present examples of this phenomenon, and survey some attempts to explain it. We divide these attempts into two classes: affective theories and cognitive theories. After criticizing both types of theories we advance our novel hypothesis: that people believe that whenever a norm is violated, someone is responsible for it. This belief, along with the familiar workings (...) of cognitive dissonance theory, is enough to not only explain all of the abstract/concrete paradoxes, but also explains seemingly unrelated effects, like the anthropomorphization of malfunctioning inanimate objects. (shrink)

Creativity has often been declared, especially by philosophers, as the last frontier of science. The assumption is that it will defy explanation forever. I will defend two claims in order to oppose this assumption and to demystify creativity: (1) the perspective that creativity cannot be explained wrongly identifies creativity with what I shall call metaphysical freedom; (2) the Darwinian approach to creativity, a prominent naturalistic account of creativity, fails to give an explanation of creativity, because it confuses conceptual issues with (...) explanation. I will close with some remarks on the status and differences in some explanations available in contemporary cognitive science. (shrink)

Do self‐monitoring accounts, a dominant account of the positive symptoms of schizophrenia, explain auditory verbal hallucination? In this essay, I argue that the account fails to answer crucial questions any explanation of auditory verbal hallucination must address. Where the account provides a plausible answer, I make the case for an alternative explanation: auditory verbal hallucination is not the result of a failed control mechanism, namely failed self‐monitoring, but, rather, of the persistent automaticity of auditory experience of a voice. My argument (...) emphasizes the importance of careful examination of phenomenology as providing substantive constraints on causal models of the positive symptoms in schizophrenia. (shrink)

Recently, a number of authors have suggested that the epistemic condition on moral responsibility makes blameworthiness much less common than we ordinarily suppose, and much harder to identify. This paper argues that such epistemically based responsibility skepticism is mistaken. Section 2 sketches a general account of moral responsibility, building on the Strawsonian idea that blame and credit relates to the agent’s quality of will. Section 3 explains how this account deals with central cases that motivate epistemic skepticism and how it (...) avoids some objections to quality of will accounts recently raised by Gideon Rosen. But an intuitive worry brought out by these objections remains. Section 4 spells out this remaining worry and argues that, like traditional metaphysical responsibility skepticism, it has its source in a non-standard explanatory perspective on action, suggesting that strategies for explaining away the intuitive pull of traditional skepticism are applicable in this case too. (shrink)

The vitalism/reductionism debate in the life sciences shows that the idea of emergence as something principally unexplainable will often be falsified by the development of science. Nevertheless, the concept of emergence keeps reappearing in various sciences, and cannot easily be dispensed with in an evolutionary world-view. We argue that what is needed is an ontological nonreductionist theory of levels of reality which includes a concept of emergence, and which can support an evolutionary account of the origin of levels. Classical explication (...) of emergence as “the creation of new properties” is discussed critically, and specific distinctions between various kinds of emergence are introduced for the purpose of developing an ontology of levels, framed in a materialistic and evolutionary perspective. A concept of the relation between levels as being inclusive is suggested, permitting the “local” existence of different ontologies. We identify, as a working hypothesis, four primary levels and explicate their nonhomomorphic interlevel relations. Explainability of emergence in relation to determinism and predictability is considered. Recent research in self-organizing non-linear dynamical systems represents a revival of the scientific study of emergence, and we argue that these recent developments can be seen as a step toward a final “devitalisation” of emergence. (shrink)

For synergistic interactions between humans and artificial intelligence (AI) systems, AI outputs often need to be explainable to people. Explainable AI (XAI) systems are commonly tested in human user studies. However, whether XAI researchers consider potential cultural differences in human explanatory needs remains unexplored. We highlight psychological research that found significant differences in human explanations between many people from Western, commonly individualist countries and people from non-Western, often collectivist countries. We argue that XAI research currently overlooks these variations and that (...) many popular XAI designs implicitly and problematically assume that Western explanatory needs are shared cross-culturally. Additionally, we systematically reviewed over 200 XAI user studies and found that most studies did not consider relevant cultural variations, sampled only Western populations, but drew conclusions about human-XAI interactions more generally. We also analyzed over 30 literature reviews of XAI studies. Most reviews did not mention cultural differences in explanatory needs or flag overly broad cross-cultural extrapolations of XAI user study results. Combined, our analyses provide evidence of a cultural bias toward Western populations in XAI research, highlighting an important knowledge gap regarding how culturally diverse users may respond to widely used XAI systems that future work can and should address. (shrink)

Why does social injustice exist? What role, if any, do implicit biases play in the perpetuation of social inequalities? Individualistic approaches to these questions explain social injustice as the result of individuals’ preferences, beliefs, and choices. For example, they explain racial injustice as the result of individuals acting on racial stereotypes and prejudices. In contrast, structural approaches explain social injustice in terms of beyond-the-individual features, including laws, institutions, city layouts, and social norms. Often these two approaches are seen as competitors. (...) Framing them as competitors suggests that only one approach can win and that the loser offers worse explanations of injustice. In this essay, we explore each approach and compare them. Using implicit bias as an example, we argue that the relationship between individualistic and structural approaches is more complicated than it may first seem. Moreover, we contend that each approach has its place in analyses of injustice and raise the possibility that they can work together—synergistically—to produce deeper explanations of social injustice. If so, the approaches may be complementary, rather than competing. (shrink)

-/- Explaining Consciousness and the Mind-Body Problem Through the Universal Law of Balance -/- Introduction -/- The nature of consciousness and its relationship with the body has been one of the greatest mysteries in philosophy and science. The mind-body problem questions how subjective experience (mind) arises from physical matter (body), while modern neuroscience, quantum mechanics, and artificial intelligence seek to understand the origins of conscious thought. -/- Angelito Malicse’s universal formula, rooted in the universal law of balance in nature, provides (...) a powerful framework for understanding consciousness as an emergent property of equilibrium. If all human decision-making follows natural laws, then consciousness itself—both individual and collective—must also follow the same principles of balance. This essay explores how this perspective can unify philosophical theories, be tested scientifically, and guide the development of artificial intelligence. -/- The Mind-Body Problem and the Universal Formula -/- Historically, the mind-body problem has been debated through dualism, materialism, and panpsychism. -/- 1. Dualism, proposed by René Descartes, suggests that the mind and body are separate substances. However, if consciousness emerges from a balance of biological, cognitive, and environmental factors, then mind and body are not separate but rather two interdependent systems working in harmony. -/- 2. Materialism, the view that consciousness is purely a result of physical processes in the brain, can also be explained through the universal formula. If the brain maintains a homeostatic equilibrium of neural activity, then conscious thought can be seen as a function of maintaining that balance. -/- 3. Panpsychism, the idea that consciousness is a fundamental property of the universe, aligns with the universal formula if all systems—atomic, biological, and cognitive—follow the same balancing principles. -/- Thus, the universal law of balance in nature can unify these perspectives by suggesting that consciousness is a product of equilibrium across multiple levels of reality. -/- Testing the Universal Formula in Neuroscience -/- If consciousness emerges from a balance between the brain, body, and environment, then this should be observable in biological experiments. -/- Brain-Body Synchronization -/- Neuroscientists have found that consciousness is deeply linked to bodily processes such as heartbeat rhythms, breathing patterns, and gut microbiome activity. When these systems are in balance, cognitive clarity and emotional stability increase. Disruptions—such as stress, disease, or neurological disorders—cause imbalances that affect perception and decision-making. -/- Scientific Test: Using fMRI and EEG, researchers can measure how homeostasis in the body correlates with stable brain activity and conscious awareness. If maintaining balance improves cognition, this supports the universal formula’s application to consciousness. -/- Feedback Loops in Decision-Making -/- Cognitive science shows that human thought follows a feedback mechanism—our brain constantly adjusts decisions based on past experiences and environmental input. If the universal formula is correct, then consciousness itself is a continuous process of maintaining equilibrium in decision-making. -/- Scientific Test: Experiments with brain-machine interfaces (BMIs) could simulate disruptions in decision-making balance and measure how the mind adapts. -/- Quantum Mechanics and Consciousness -/- Some scientists propose that consciousness operates at the quantum level, where thought processes may resemble wave superpositions and collapses. -/- Quantum Decision Theory -/- The human brain does not always process information in a straightforward way; rather, it often considers multiple possibilities before reaching a conclusion. This mirrors quantum physics, where particles exist in superposition until they interact with an observer. If consciousness follows the universal law of balance, then the brain may hold multiple mental states in balance before making a final decision. -/- Scientific Test: Studies in quantum cognition compare human decision-making with quantum probability models. If human thought aligns with quantum systems, it suggests that mental balance follows the same natural laws as physical balance in the universe. -/- Microtubule Consciousness Hypothesis -/- Some researchers, such as Roger Penrose and Stuart Hameroff, suggest that tiny structures within neurons (microtubules) generate consciousness through quantum coherence. If consciousness is a process of balance, then maintaining coherence within these structures might regulate awareness. -/- Scientific Test: If external stimuli can enhance or disrupt microtubule coherence, then altering quantum balance should affect conscious states. -/- Artificial Intelligence and the Simulation of Conscious Balance -/- If the universal formula is truly fundamental to consciousness, then AI systems that mimic this balance should develop self-regulating awareness. -/- AI Homeostasis and Adaptive Learning -/- Unlike traditional AI, which follows strict programming, an AI system designed to maintain balance between inputs, processing, and decision-making could behave in a way similar to biological consciousness. This would involve: -/- Self-regulating feedback loops that adjust based on new information. -/- Adaptive responses to environmental changes, like a human mind maintaining homeostasis. -/- Pattern recognition based on equilibrium, where the AI finds optimal solutions by balancing multiple factors. -/- Scientific Test: Developing AI models that learn through balance, rather than rigid programming, could demonstrate whether consciousness emerges from self-regulating equilibrium. -/- Conclusion: A New Understanding of Consciousness -/- The universal law of balance in nature provides a unifying framework for explaining consciousness, bridging philosophy, neuroscience, quantum mechanics, and artificial intelligence. If all decision-making follows natural balance, then consciousness itself is not an isolated phenomenon but a result of maintaining equilibrium across multiple dimensions—biological, cognitive, and universal. -/- By testing this theory scientifically—through brain-body synchronization, quantum cognition, and AI balance modeling—we may uncover the fundamental principles governing human awareness. This could lead to breakthroughs in mental health, decision science, and artificial intelligence, transforming how we understand both human and machine intelligence. -/- Thus, Angelito Malicse’s universal formula may hold the key to one of the greatest mysteries of existence: the true nature of consciousness itself. -/- . (shrink)

An account of depiction should explain its key features. I identify six: that depiction is from a point of view; that it represents its objects as having a visual appearance; that it depictive content is always reasonably detailed; that misrepresentation is possible, but only within limits; and that the ability to interpret depictions co-varies, given general competence with pictures, with knowledge of what the depicted objects look like. All this suggests that picturing works by capturing appearances, but how more precisely (...) does it operate? I show how to use the notion of experienced resemblance in outline shape to analyse depiction in such a way as to answer this question, and to explain the six key features above. (shrink)

In this Chapter, we address the challenge of explaining institutional change, asking whether the much-criticized rational choice perspective can contribute to the understanding of institutional change in political science. We discuss the methodological reasons why rational choice institutionalism (RCI) often assumes that institutional change is exogenous and discontinuous. We then identify and explore the possible pathways along which RCI can be extended to be more useful in understanding institutional change in political science. Finally, we reflect on what RCI theorizing would (...) look like if it started to take endogenous change seriously: by giving up some of its simplifying assumptions, RCI can be a useful tool for analyzing institutional change, but choosing this path has consequences for the generality of the models in RCI as well as for the style of its theorizing. (shrink)

Higher-order evidence appears to have the ability to defeat rational belief. It is not obvious, however, why exactly the defeat happens. In this paper, I consider two competing explanations of higher-order defeat: the “Objective Higher-Order Defeat Explanation” and the “Subjective Higher-Order Defat Explanation.” According to the former explanation, possessing sufficiently strong higher-order evidence to indicate that one’s belief about p fails to be rational is necessary and sufficient for defeating one’s belief about p. I argue that this type of explanation (...) is defective or at best collapses into the other type of explanation. According to the latter explanation, Believing that one’s belief about p fails to be rational (in response to higher-order evidence about p) is necessary and sufficient for defeating one’s belief about p. I argue that this type of explanation is better suited to explain higher-order defeat given that what one is rational to believe partly depends on the relations among one’s doxastic attitudes. Finally, I address an peculiar feature of the Subjective Higher-Order Defeat Explanation: higher-order defeat becomes contingent on one’s response to the higher-order evidence. (shrink)

I analyze the role of infinite idealizations used in the renormalization group (RG hereafter) method in explaining universality across microscopically different physical systems in critical phenomena. I argue that despite the reference to infinite limit systems such as systems with infinite correlation lengths during the RG process, the key to explaining universality in critical phenomena need not involve infinite limit systems. I develop my argument by introducing what I regard as the explanatorily relevant property in RG explanations: linearization* property; I (...) then motivate and prove a proposition about the linearization* property in support of my view. As a result, infinite limit systems in RG explanations are dispensable. (shrink)

Ismael aims for an understanding of the nature of an embedded perspective of agents in a world. If successful, this would explain a cluster of ways in which from an embedded perspective, we experience the world in an array of temporally asymmetric ways. Moreover, these are ways that have led many philosophers to rather metaphysically inflationary views about the nature of time, according to which time itself really is dynamical, and is characterized by the movement of an objectively (i.e., non-perspectival) (...) present. Ismael aims to explain these features of our experience without positing any such metaphysical picture. She argues that there are constraints which prevent us from taking this Olympian conception of the world and our place in it, and that these, jointly, explain why we experience the world in these temporally asymmetric ways. We take up two related questions. First, what it would mean to say that these constraints are not merely epistemic, and second, how far these constraints get us in explaining why we experience the world in these ways. (shrink)

Are the workings of the international world to be explained scientifically, or are they to be understood through their inward meaning? In Explaining and Understanding International Relations philosopher Martin Hollis and international relations scholar Steve Smith join forces to analyse the dominant theories of international relations and to examine the philosophical issues underlying them. The book has three parts. In the first the authors review the growth of the discipline since 1918, pose the 'level of analysis' problem of whether to (...) account for a sytem in terms of its units or vice versa, and contrast the demand of scientific method with those of interpretative understanding. In the second they apply the contrast to four factors often cited in accounting for international behaviour - the international system, the state, bureaucracies, and decision-making individuals. Rival accounts of the games nations play are offered in readiness for the final part, where the authors propose a theoretical agenda, air their differences, and invite readers to take sides. By tackling deep theoretical issues with lucidity and verve this book will excite debate among theorists and students of international relations while also engaging thought about the philosophical character of the social sciences. (shrink)

In this work we present an explainable system for emotion attribution and recommendation (called DEGARI (Dynamic Emotion Generator And ReclassIfier) relying on a recently introduced probabilistic commonsense reasoning framework (i.e. the TCL logic, see Lieto & Pozzato 2020) which is based on a human-like procedure for the automatic generation of novel concepts in a Description Logics knowledge base (see also Lieto et al. 2019, Chiodino et al. 2020 for other applications). In particular, in order to model human-like forms of concept (...) combinations, the TCL logic combines a probabilistic description logics of typicality with the HEAD-MODIFIER heuristics coming from cognitive semantics. In the context of our application of such framework, our system exploits the logic TCL to automatically generate novel commonsense semantic representations of compound emotions (e.g. Love as derived from the combination of Joy and Trust according to Plutchik’s theory of emotions, see Plutchik 2001). The generated emotions corresponds to prototypes, i.e. commonsense representations of given concepts, and have been used to reclassify emotion-related contents in a variety of artistic domains. We have tested our system in the context of the H2020 EU project SPICE for providing artistic recommendations of museum items in the Galleria di Arte Moderna (GAM) of Turin. The obtained results (reported in Lieto et al, 2021 and Lieto at al., to appear) show promising results for what concerns both the acceptance of the provided affective recommendation and the explainability associated to each suggestion made by the users. Here we discuss, the open problems and the lessons learned. -/- . (shrink)

One of the primary, if not most critical, difficulties in the design and implementation of autonomous systems is the black-boxed nature of the decision-making structures and logical pathways. How human values are embodied and actualised in situ may ultimately prove to be harmful if not outright recalcitrant. For this reason, the values of stakeholders become of particular significance given the risks posed by opaque structures of intelligent agents (IAs). This paper explores how decision matrix algorithms, via the belief-desire-intention model for (...) autonomous vehicles, can be designed to minimize the risks of opaque architectures. Primarily through an explicit orientation towards designing for the values of explainability and verifiability. In doing so, this research adopts the Value Sensitive Design (VSD) approach as a principled framework for the incorporation of such values within design. VSD is recognized as a potential starting point that offers a systematic way for engineering teams to formally incorporate existing technical solutions within ethical design, while simultaneously remaining pliable to emerging issues and needs. It is concluded that the VSD methodology offers at least a strong enough foundation from which designers can begin to anticipate design needs and formulate salient design flows that can be adapted to the changing ethical landscapes required for utilisation in autonomous vehicles. (shrink)

I respond to a list of hypotheses explaining why female undergraduates leave philosophy by drawing attention to the period at which we are at and how it affects the task of explanation. I actually focus on ethnic minority underrepresentation, but what I say crosses over: undergraduates one is hoping to attract might well think, “There has to be some problem if these are the proportions at this stage.”.

This paper evaluates the prospects of harnessing “anti-individualism” about the contents of perceptual states to give an account of the epistemology of perception, making special reference to Tyler Burge’s ( 2003 ) paper, “Perceptual Entitlement”. I start by clarifying what kind of warrant is provided by perceptual experience, and I go on to survey different ways one might explain the warrant provided by perceptual experience in terms of anti-individualist views about the individuation of perceptual states. I close by motivating accounts (...) which instead give a more prominent role to consciousness. (shrink)

The idea that ambiguity can be productive in data science remains controversial. Efforts to make scientific publications and data intelligible to computers generally assume that accommodating multiple meanings for words, known as polysemy, undermines reasoning and communication. This assumption has nonetheless been contested by historians, philosophers, and social scientists, who have applied qualitative research methods to demonstrate the generative and strategic value of polysemy. Recent quantitative results from linguistics have also shown how polysemy can actually improve the efficiency of human (...) communication. I present a new conceptual typology based on a synthesis of prior research about the aims, norms, and circumstances under which polysemy arises and is evaluated. The typology supports a contextual pluralist view of polysemy’s value for scientific research practices: polysemy does both substantial positive and negative work in science, but its utility is context-sensitive in ways that are often overlooked by the norms people have formulated to regulate its use, including prior scholars researching polysemy. I also propose that historical patterns in the use of partial synonyms, i.e. terms with overlapping meanings, provide an especially promising phenomenon for integrative research addressing these issues. (shrink)

Many philosophers consider explanation to be objective such that facts explain facts independently of human beings. This paper rejects such an ontological view and argues in favor of an epistemic view, named the pragmatic-rhetorical view, according to which explanations depend on our knowledge and are grounded in the public or scientific discourse.

Ideology is commonly defined along functional, epistemic, and genetic dimensions. This article advances a reasonably unified account that specifies how they connect and locates the mechanisms at work. I frame the account along a recent distinction between anchoring and grounding, endorse an etiological reading of functional explanations, and draw on current work about the epistemology of delusion, looping effects, and structuring causes to explain how ideologies originate, reproduce, and possibly collapse. This eventually allows articulating how the legitimating function of ideologies (...) relates to the constitutive and causal role they play when embedded into the facts they are originally designed to anchor. (shrink)

The paper argues that Daniel Dennett’s reductive account of consciousness in Consciousness Explained goes against theoretical commitments driving much of his previous work. I focus on considerations for the plurality of distinctive explanation of ourselves, as they have been articulated in Dennett's earlier work, and argue that Dennett's reductive framework is not adequately supported in the face of these considerations. The paper details tensions in Dennett’s work and shows how Consciousness Explained departs from the diagnoses of the mind/body problem offered (...) by Ryle, Wittgenstein and Sellars with which Dennett casts it as continuous. (shrink)

This paper introduces a model for evidence denial that explains this behavior as a manifestation of rationality and it is based on the contention that social values (measurable as utilities) often underwrite these sorts of responses. Moreover, it is contended that the value associated with group membership in particular can override epistemic reason when the expected utility of a belief or belief system is great. However, it is also true that it appears to be the case that it is still (...) possible for such unreasonable believers to reverse this sort of dogmatism and to change their beliefs in a way that is epistemically rational. The conjecture made here is that we should expect this to happen only when the expected utility of the beliefs in question dips below a threshold where the utility value of continued dogmatism and the associated group membership is no longer sufficient to motivate defusing the counter-evidence that tells against such epistemically irrational beliefs. (shrink)

In the past decade, three philosophers in particular have recently explored the relation between desert and intrinsic value. Fred Feldman argues that consequentialism need not give much weight – or indeed any weight at all – to the happiness of persons who undeservedly experience pleasure. He defends the claim that the intrinsic value of a state of affairs is determined by the “fit” between the amount of well-being that a person receives and the amount of well-being that the person deserves. (...) Shelly Kagan uses a similar claim to motivate the view that equality is not intrinsically valuable. Thomas Hurka argues that desert is a third-order value, which is a function of the relation between the second-order value of having a virtuous or vicious character and the first-order value of experiencing pleasure or pain. In this paper, we sketch a theory of desert as fittingness and defend a general account of the relation between desert, well-being, and intrinsic value. We then discuss various applications of our “geometry of desert,” including a solution to the problem of the Repugnant Conclusion. In so doing, we explain, revise, and extend many of these authors’ central ideas. (shrink)