Buildings energy consumption is growing gradually and put away around 40% of total energy use. Predicting heating and cooling loads of a building in the initial phase of the design to find out optimal solutions amongst different designs is very important, as ell as in the operating phase after the building has been finished for efficient energy. In this study, an artificial neural network model was designed and developed for predicting heating and cooling loads of a building based on a (...) dataset for building energy performance. The main factors for input variables are: relative compactness, roof area, overall height, surface area, glazing are a, wall area, glazing area distribution of a building, orientation, and the output variables: heating and cooling loads of the building. The dataset used for training are the data published in the literature for various 768 residential buildings. The model was trained and validated, most important factors affecting heating load and cooling load are identified, and the accuracy for the validation was 99.60%. (shrink)

Philosophers working on time-biases assume that people are hedonically biased toward the future. A hedonically future-biased agent prefers pleasurable experiences to be future instead of past, and painful experiences to be past instead of future. Philosophers further predict that this bias is strong enough to apply to unequal payoffs: people often prefer less pleasurable future experiences to more pleasurable past ones, and more painful past experiences to less painful future ones. In addition, philosophers have predicted that future-bias is restricted to (...) first-person preferences, and that people’s third-person preferences are time-neutral. Philosophers disagree vigorously about the normative status of these preferences—i.e., they disagree about whether first-person future-bias is rationally permissible. Time-neutralists, for example, have appealed to the predicted asymmetry between first- and third-person preferences to argue for the rational impermissibility of future-bias. We empirically tested these predictions, and found that while people do prefer more past pain to less future pain, they do not prefer less future pleasure to more past pleasure. This was so in both first and third-person conditions. This suggests that future-bias is typically non-absolute, and is more easily outweighed in the case of positive events. We connect this result to the normative debate over future-bias. (shrink)

Deflationists hold that it does not seem to us, in experience, as though time robustly passes. There is some recent empirical evidence that appears to support this contention. Equally, empirical evidence suggests that we naïvely represent time as dynamical. Thus deflationists are faced with an explanatory burden. If, as they maintain, the world seems to us in experience as though it is non-dynamical, then why do we represent time as dynamical? This paper takes up the challenge of investigating, on the (...) part of the deflationist, one candidate explanation. We hypothesise that people’s belief that the future is what we call deliberatively open partly explains why they represent time as dynamical. In a series of two experiments we test this hypothesis. We find no evidence that beliefs about deliberative openness explain why people represent time as dynamical. Hence there remains an explanatory burden for the deflationist to discharge. (shrink)

People are ‘biased toward the future’: all else being equal, we typically prefer to have positive experiences in the future, and negative experiences in the past. Several explanations have been suggested for this pattern of preferences. Adjudicating among these explanations can, among other things, shed light on the rationality of future-bias: For instance, if our preferences are explained by unjustified beliefs or an illusory phenomenology, we might conclude that they are irrational. This paper investigates one hypothesis, according to which future-bias (...) is explained by our having a phenomenology that we describe, or conceive of, as being as of time robustly passing. We empirically tested this hypothesis and found no evidence in its favour. Our results present a puzzle, however, when compared with the results of an earlier study. We conclude that although robust passage phenomenology on its own probably does not explain future-bias, having this phenomenology and taking it to be veridical may contribute to future-bias. (shrink)

Aggregating individuals’ consistent attitudes might produce inconsistent collective attitudes. Some groups therefore need the capacity to form attitudes that are irreducible to those of their members. Such groups, group-agent realists argue, are agents in control of their own attitude formation. In this paper, however, I show how group-agent realism overlooks the important fact that groups consist of strategically interacting agents. Only by eliminating group agency from our social explanations can we see how individuals vote strategically to gain control of their (...) groups and produce collective attitudes we cannot make sense of if we treat groups as agents. (shrink)

Feminist socially constitutive conceptions of autonomy make the presence of idealized social conditions necessary for autonomy. I argue that such conceptions cannot, when applied under nonideal conditions, play two key feminist theoretical roles for autonomy: the roles of anti-oppressive character ideal and paternalism-limiting concept. Instead, they prescribe action that reinforces oppression. Treated as character ideals, socially constitutive conceptions of autonomy ask agents living under nonideal ones to engage in self-harm or self-subordination. Moreover, conceptions of autonomy that make idealized social conditions (...) a requirement of autonomy yield the conclusion that oppressed agents are appropriate objects of paternalism. (shrink)

This paper sets out an account of trust in AI as a relationship between clinicians, AI applications, and AI practitioners in which AI is given discretionary authority over medical questions by clinicians. Compared to other accounts in recent literature, this account more adequately explains the normative commitments created by practitioners when inviting clinicians’ trust in AI. To avoid committing to an account of trust in AI applications themselves, I sketch a reductive view on which discretionary authority is exercised by AI (...) practitioners through the vehicle of an AI application. I conclude with four critical questions based on the discretionary account to determine if trust in particular AI applications is sound, and a brief discussion of the possibility that the main roles of the physician could be replaced by AI. (shrink)

Climate change can be construed as a question of collective responsibility from two different viewpoints: climate change being inherently a collective problem, or collective entities bearing responsibility for climate change. When discussing collective responsibility for climate change, “collective” can thus refer to the problem of climate change itself, or to the entity causing the harm and/or bearing responsibility for it. The first viewpoint focuses on how climate change is a harm that has been caused collectively. Collective action problem refers to (...) an aggregation of individual actions which together produce an outcome that is not intended at the level of an individual action. It cannot be solved by any one agent acting unilaterally. Instead, climate change action must be enacted and supported by numerous agents. The second way to conceptualize climate change as a question of collective responsibility focuses on the collective entities that bear responsibility for climate change. As a global problem, climate change is linked to the realm of international politics, where states, governments, and intergovernmental organizations are the main collective entities. Other important agential collectives in terms of climate responsibility are corporations, including carbon majors who have produced the bulk of emissions. Climate change has also been theorized as a structural injustice, which combines elements from both the viewpoints on what is collective about responsibility for climate change. (shrink)

It has widely been assumed, by philosophers, that most people unambiguously have a phenomenology as of time passing, and that this is a datum that philosophical theories must accommodate. Moreover, it has been assumed that the greater the extent to which people have said phenomenology, the more likely they are to endorse a dynamical theory of time. This paper is the first to empirically test these assumptions. Surprisingly, our results do not support either assumption. One experiment instead found the reverse (...) correlation: people were more likely to report having passage phenomenology if they endorsed a non-dynamical theory of time. Given that people do not have an unambiguous phenomenology as of time passing, we conclude that this is suggestive evidence in favor of veridical non-dynamism—the view that our phenomenology is veridical, and that it does not unambiguously represent that time passes. Instead, our phenomenology veridically has some quite different content. (shrink)

How should we undertand the role of norms—especially epistemic norms—governing assertive speech acts? Mitchell Green (2009) has argued that these norms play the role of handicaps in the technical sense from the animal signals literature. As handicaps, they then play a large role in explaining the reliability—and so the stability (the continued prevalence)—of assertive speech acts. But though norms of assertion conceived of as social norms do indeed play this stabilizing role, these norms are best understood as deterrents and not (...) as handicaps. This paper explains the stability problem for the maintenance of animal signals, and so human communication, for we are animals too, after all; the mechanics of the handicap principle; the role of deterrents and punishments as an alternative mechanism; and the role of social norms governing assertion for the case of human communication. (shrink)

In this article, we propose the Fair Priority Model for COVID-19 vaccine distribution, and emphasize three fundamental values we believe should be considered when distributing a COVID-19 vaccine among countries: Benefiting people and limiting harm, prioritizing the disadvantaged, and equal moral concern for all individuals. The Priority Model addresses these values by focusing on mitigating three types of harms caused by COVID-19: death and permanent organ damage, indirect health consequences, such as health care system strain and stress, as well as (...) economic destruction. It proposes proceeding in three phases: the first addresses premature death, the second long-term health issues and economic harms, and the third aims to contain viral transmission fully and restore pre-pandemic activity. -/- To those who may deem an ethical framework irrelevant because of the belief that many countries will pursue "vaccine nationalism," we argue such a framework still has broad relevance. Reasonable national partiality would permit countries to focus on vaccine distribution within their borders up until the rate of transmission is below 1, at which point there would not be sufficient vaccine-preventable harm to justify retaining a vaccine. When a government reaches the limit of national partiality, it should release vaccines for other countries. -/- We also argue against two other recent proposals. Distributing a vaccine proportional to a country's population mistakenly assumes that equality requires treating differently situated countries identically. Prioritizing countries according to the number of front-line health care workers, the proportion of the population over 65, and the number of people with comorbidities within each country may exacerbate disadvantage and end up giving the vaccine in large part to wealthy nations. (shrink)

In this paper I argue for an association between impurity and explanatory power in contemporary mathematics. This proposal is defended against the ancient and influential idea that purity and explanation go hand-in-hand (Aristotle, Bolzano) and recent suggestions that purity/impurity ascriptions and explanatory power are more or less distinct (Section 1). This is done by analyzing a central and deep result of additive number theory, Szemerédi’s theorem, and various of its proofs (Section 2). In particular, I focus upon the radically impure (...) (ergodic) proof due to Furstenberg (Section 3). Furstenberg’s ergodic proof is striking because it utilizes intuitively foreign and infinitary resources to prove a finitary combinatorial result and does so in a perspicuous fashion. I claim that Furstenberg’s proof is explanatory in light of its clear expression of a crucial structural result, which provides the “reason why” Szemerédi’s theorem is true. This is, however, rather surprising: how can such intuitively different conceptual resources “get a grip on” the theorem to be proved? I account for this phenomenon by articulating a new construal of the content of a mathematical statement, which I call structural content (Section 4). I argue that the availability of structural content saves intuitive epistemic distinctions made in mathematical practice and simultaneously explicates the intervention of surprising and explanatorily rich conceptual resources. Structural content also disarms general arguments for thinking that impurity and explanatory power might come apart. Finally, I sketch a proposal that, once structural content is in hand, impure resources lead to explanatory proofs via suitably understood varieties of simplification and unification (Section 5). (shrink)

The standard view says that epistemic normativity is normativity of belief. If you’re an evidentialist, for example, you’ll think that all epistemic reasons are reasons to believe what your evidence supports. Here we present a line of argument that pushes back against this standard view. If the argument is right, there are epistemic reasons for things other than belief. The argument starts with evidentialist commitments and proceeds by a series of cases, each containing a reason. As the cases progress, the (...) reasons change from counting in favor of things like having a belief to things like performing ordinary actions. We argue that each of those reasons is epistemic. If the argument succeeds, we should think there are epistemic reasons to consider hypotheses, conduct thought and physical experiments, extend one’s evidence, and perform mundane tasks like eating a sandwich, just as there are epistemic reasons to believe what one’s evidence supports. (shrink)

An adequate account of laws should satisfy at least five desiderata: it should provide a unified account of laws and chances, it should yield plausible relations between laws and chances, it should vindicate numerical chance assignments, it should accommodate dynamical and non-dynamical chances, and it should accommodate a plausible range of nomic possibilities. No extant account of laws satisfies these desiderata. This paper presents a non-Humean account of laws, the Nomic Likelihood Account, that does.

A group is lying when it makes a statement that it believes to be untrue but wants the addressee(s) to believe. But how can we distinguish statements that the group believes to be untrue from honest group statements based on mistaken beliefs or confusion within the group? I will suggest a narrative constraint for honest group statements, made up of two components. Narrative coherence requires that a new group statement should not conflict with group knowledge on the matter, or beliefs (...) of relevant operative subgroups, unless a coherent rationale is given. Narrative intention looks at the process of gathering new evidence on the area of expertise of the group and requires that the group position behind the statement is formed in good faith. The narrative constraint will help to distinguish group lies from more innocent erroneous statements of group beliefs when there is an internal disagreement within the group, including in cases involving spokespersons. (shrink)

This paper contains a critical examination of the prospects for analyses of knowledge that weaken the factivity condition such that knowledge implies approximate truth.

This article critically examines one of the most prevalent metaphors in modern biology, namely the machine conception of the organism (MCO). Although the fundamental differences between organisms and machines make the MCO an inadequate metaphor for conceptualizing living systems, many biologists and philosophers continue to draw upon the MCO or tacitly accept it as the standard model of the organism. This paper analyses the specific difficulties that arise when the MCO is invoked in the study of development and evolution. In (...) developmental biology the MCO underlies a logically incoherent model of ontogeny, the genetic program, which serves to legitimate three problematic theses about development: genetic animism, neo-preformationism, and developmental computability. In evolutionary biology the MCO is responsible for grounding unwarranted theoretical appeals to the concept of design as well as to the interpretation of natural selection as an engineer, which promote a distorted understanding of the process and products of evolutionary change. Overall, it is argued that, despite its heuristic value, the MCO today is impeding rather than enabling further progress in our comprehension of living systems. (shrink)

We attribute knowledge to institutions on a daily basis, saying things like "the government knew about the threat" or "the university did not act upon the knowledge it had about the harassment". Institutions can also attribute knowledge to themselves, like when Maybank Global Banking claims that it offers its customers "deep expertise and vast knowledge" of the Southeast Asia region, or when the United States Geological Survey states that it understands complex natural science phenomena like the probability of earthquakes occurring (...) along a given fault line. This article aims to discover when we can correctly attribute knowledge to an institution. I find this an interesting question, especially because when something does go wrong, all too often the official line of response from institutions is that they were unaware of the situation: in other words, they did not have enough information at their disposal. I will argue that institutions have fewer excuses for being ignorant than individuals do, and that many admissions of institutional knowledge are too modest. I begin by discussing a real-life example of the latter, before turning my attention to the usually fragmented nature of institutional knowledge. I also discuss the robustness of this knowledge, offering a distinction between two types of institutional knowledge. I then discuss knowledge parameters and why institutions have fewer excuses for not knowing about something than individuals do. I round off the chapter by examining institutional knowledge on climate change. (shrink)

What justifies practices of “standing”? Numerous everyday practices exhibit the normativity of standing: forbidding certain interventions and permitting ignoring them. The normativity of standing is grounded in facts about the person intervening and not on the validity of her intervention. When valid, directives are reasons to do as directed. When interventions take the form of directives, standing practices may permit excluding those directives from one’s practical deliberations, regardless of their validity or normative weight. Standing practices are, therefore, puzzling – forbidding (...) giving reasons and, if given, permitting disregarding such reasons. What justifies standing practices are the values that they protect, including privacy, autonomy, independence, valuable relationships, and equal respect. These values count in favor of standing’s duty against certain interventions and, when these duties of non-intervention are breached, the values underpinning those duties count in favor of standing’s permission to discount or exclude those interventions from one’s practical deliberations – the normative weight of those interventions notwithstanding. (shrink)

A familiar interpretation of quantum mechanics (one of a number of views sometimes labeled the "Copenhagen interpretation'"), takes its empirical apparatus at face value, holding that the quantum wave function evolves by the Schrödinger equation except on certain occasions of measurement, when it collapses into a new state according to the Born rule. This interpretation is widely rejected, primarily because it faces the measurement problem: "measurement" is too imprecise for use in a fundamental physical theory. We argue that this is (...) a weak objection, as there may be many ways of making "measurement" precise. However, measurement-collapse interpretations face a more serious objection: a dilemma tied to the quantum Zeno effect. Is measurement itself an observable that can enter superpositions? If yes, then the standard measurement-collapse dynamics is ill-defined. If no, then (at least if measurement is an observable), measurements can never start or finish. The best way out is to deny that measurement is an observable, but this leads to strong and revisionary consequences. This reinforces the view that there is no nonrevisionary interpretation of quantum mechanics. (shrink)

All parties involved in researching, developing, manufacturing, and distributing COVID-19 vaccines need guidance on their ethical obligations. We focus on pharmaceutical companies' obligations because their capacities to research, develop, manufacture, and distribute vaccines make them uniquely placed for stemming the pandemic. We argue that an ethical approach to COVID-19 vaccine production and distribution should satisfy four uncontroversial principles: optimising vaccine production, including development, testing, and manufacturing; fair distribution; sustainability; and accountability. All parties' obligations should be coordinated and mutually consistent. For (...) instance, companies should not be obligated to provide host countries with additional booster shots at the expense of fulfilling bilateral contracts with countries in which there are surges. Finally, any satisfactory approach should include mechanisms for assurance that all parties are honouring their obligations. This assurance enables countries, pharmaceutical companies, global organisations, and others to verify compliance with the chosen approach and protect ethically compliant stakeholders from being unfairly exploited by unethical behaviour of others. (shrink)

Text classification is one of the most important task in natural language processing, In this research, we carried out several experimental research on three (3) of the most popular Text classification NLP classifier in Convolutional Neural Network (CNN), Multinomial Naive Bayes (MNB), and Support Vector Machine (SVN). In the presence of enough training data, Deep Learning CNN work best in all parameters for evaluation with 77% accuracy, followed by SVM with accuracy of 76%, and multinomial Bayes with least performance of (...) 69% accuracy. CNN has the best performance in the presence of large enough training dataset because of the presence of filter/ kernels which help to indentify patterns in text data regardless of their position in the sentence. -/- We repeated the training again with just one-third of our data, at this point SVM comes with the best performance, the performance of CNN noticeably drops but still better than Multinomial Naive Bayes, the reason why SVM works best when we reduce the training data was because of its ability to look for a hyper-plane that creates a boundary between different classes of data so as to properly classify them, so we believed that getting the hyper-plane was more efficient when we reduce the dataset, hence reason for the good performance. Multinomial Naive Bayes have the least performance which we attributed to its assumption of independency between the features which sometimes does not hold true. We concluded that availability of data should be an important factor when choosing classifier for Natural Language Processing Text Classification task. CNN should be use in the presence of enough dataset, and SVM should be use when data is not enough. Multinomial Naive Bayes must not be trusted with state of the art NLP task due to its assumption of independency between the features. (shrink)

Standard decision theory has trouble handling cases involving acts without finite expected values. This paper has two aims. First, building on earlier work by Colyvan (2008), Easwaran (2014), and Lauwers and Vallentyne (2016), it develops a proposal for dealing with such cases, Difference Minimizing Theory. Difference Minimizing Theory provides satisfactory verdicts in a broader range of cases than its predecessors. And it vindicates two highly plausible principles of standard decision theory, Stochastic Equivalence and Stochastic Dominance. The second aim is to (...) assess some recent arguments against Stochastic Equivalence and Stochastic Dominance. If successful, these arguments refute Difference Minimizing Theory. This paper contends that these arguments are not successful. (shrink)

In 'Perceptual Entitlement' (PPR 2003), Tyler Burge argues that on his teleological reliabilist account of perceptual warrant, warrant will persist in non-normal conditions, even radical skeptical scenarios like demon worlds. This paper explains why Burge's explanation falls short. But if we distinguish two grades of warrant, we can explain, in proper functionalist, teleological reliabilist terms, why warrant should persist in demon worlds. A normally functioning belief-forming process confers warrant in all worlds, provided it is reliable in normal conditions when functioning (...) normally. The first grade requires normal functioning. The second grade also requires being situated in normal conditions. (shrink)

This article argues that if panpsychism is true, then there are grounds for thinking that digitally-based artificial intelligence may be incapable of having coherent macrophenomenal conscious experiences. Section 1 briefly surveys research indicating that neural function and phenomenal consciousness may be both analog in nature. We show that physical and phenomenal magnitudes—such as rates of neural firing and the phenomenally experienced loudness of sounds—appear to covary monotonically with the physical stimuli they represent, forming the basis for an analog relationship between (...) the three. Section 2 then argues that if this is true and micropsychism—the panpsychist view that phenomenal consciousness or its precursors exist at a microphysical level of reality—is also true, then human brains must somehow manipulate fundamental microphysical-phenomenal magnitudes in an analog manner that renders them phenomenally coherent at a macro level. However, Sect. 3 argues that because digital computation abstracts away from microphysical-phenomenal magnitudes—representing cognitive functions non-monotonically in terms of digits—digital computation may be inherently incapable of realizing coherent macroconscious experience. Thus, if panpsychism is true, digital AI may be incapable of achieving phenomenal coherence. Finally, Sect. 4 briefly examines our argument’s implications for Tononi’s Integrated Information Theory theory of consciousness, which we contend may need to be supplanted by a theory of macroconsciousness as analog microphysical-phenomenal information integration. (shrink)

Many philosophers hold that ‘one-instant worlds’—worlds that contain a single instant—fail to contain time. We experimentally investigate whether these worlds satisfy the folk concept of time. We found that ~50% of participants hold that there is time in such worlds. We argue that this suggests one of two possibilities. First, the population disagree about whether at least one of the A-, B-, or C-series is necessary for time, with there being a substantial sub-population for whom the presence of neither an (...) A-, B-, nor C-series, is necessary for time, and hence those folk have a radically more minimal concept of time than has been attributed to them by philosophers. Or, second, the population do not disagree about whether at least one of the A-, B-, or C-series is necessary for time, but disagree about what it takes for a world to fail to contain even a C-series. (shrink)

This chapter defends the account of metaphysical indeterminacy of Barnes and Williams against Eklund's objections.

In this book, Rupert Read offers the first outline of a resolute reading, following the highly influential New Wittgenstein 'school', of the Philosophical Investigations. He argues that the key to understanding Wittgenstein's later philosophy is to understand its liberatory purport. Read contends that a resolute reading coincides in its fundaments with what, building on ideas in the later Gordon Baker, he calls a liberatory reading. Liberatory philosophy is philosophy that can liberate the user from compulsive patterns of thought, freeing one (...) for possibilities that were previously obscured. Such liberation is our prime goal in philosophy. This book consists in a sequential reading, along these lines, of what Read considers the most important and controversial passages in the Philosophical Investigations 1, 16, 43, 95 & 116 & 122, 130-3, 149-151, 186, 198-201, 217, and 284-6. Read claims that this liberatory conception is simultaneously an ethical conception. The PI should be considered a work of ethics in that its central concern becomes our relation with others. Wittgensteinian liberations challenge widespread assumptions about how we allegedly are independent of and separate from others. Wittgenstein's Liberatory Philosophy will be of interest to scholars and advanced students working on Wittgenstein, and to scholars of the political philosophy of liberation and the ethics of relation. (shrink)

Precision Medicine is driven by the idea that the rapidly increasing range of relatively cheap and efficient self-tracking devices make it feasible to collect multiple kinds of phenotypic data. Advocates of N = 1 research emphasize the countless opportunities personal data provide for optimizing individual health. At the same time, using biomarker data for lifestyle interventions has shown to entail complex challenges. In this paper, we argue that researchers in the field of precision medicine need to address the performative dimension (...) of collecting data. We propose the fun-house mirror as a metaphor for the use of personal health data; each health data source yields a particular type of image that can be regarded as a ‘data mirror’ that is by definition specific and skewed. This requires competence on the part of individuals to adequately interpret the images thus provided. (shrink)

This chapter argues that emotion recognition is a skill. A skill perspective on emotion recognition draws attention to underappreciated features of this cornerstone of social cognition. Skills have a number of characteristic features. For example, they are improvable, practical, and flexible. Emotion recognition has these features as well. Leading theories of emotion recognition often draw inadequate attention to these features. The chapter advances a theory of emotion recognition that is better suited to this purpose. It proposes that emotion recognition involves (...) scripts. Emotion scripts describe how people are likely to behave in different emotional contexts. Scripts can be improved with the addition of richer social knowledge, they are practical in that they describe and guide social interaction, and they are flexible because they must accommodate the fact that emotions have different behavioral impact depending on the agents involved and the circumstances at play. Learning to recognize emotions through scripts qualifies as a skill. (shrink)

This paper develops a philosophical account of moral disruption. According to Robert Baker (2013), moral disruption is a process in which technological innovations undermine established moral norms without clearly leading to a new set of norms. Here I analyze this process in terms of moral uncertainty, formulating a philosophical account with two variants. On the Harm Account, such uncertainty is always harmful because it blocks our knowledge of our own and others’ moral obligations. On the Qualified Harm Account, there is (...) no harm in cases where moral uncertainty is related to innovation that is “for the best” in historical perspective, or where uncertainty is the expression of a deliberative virtue. The two accounts are compared by applying them to Baker’s historical case of the introduction of mechanical ventilation and organ transplantation technologies, as well as the present-day case of mass data practices in the health domain. (shrink)

The cucumber is a creeping vine that roots in the ground and grows up trellises or other supporting frames, wrapping around supports with thin, spiraling tendrils. The plant may also root in a soilless medium, whereby it will sprawl along the ground in lieu of a supporting structure. The vine has large leaves that form a canopy over the fruits. Among these common diseases, we single out the diseases that affect the cucumber, which is affected by about 22 diseases, with (...) different symptoms for each disease. Today, technology is facilitating human life in all areas of life, and among these facilities are expert systems that have become an integral part of human life as they contain several systems and areas, for example: Artificial Intelligence (AI), which refers to systems or devices that simulate Human intelligence to perform tasks that can improve itself based on some human information, and other areas, and with reference to expert systems and their importance to humans, an integrated expert system has been created in the agricultural field that diagnoses cucumber diseases using CLIPS Expert System language Delphi language. The system was used to design and implement the proposed expert system. The system facilitates the diagnosis of cucumber-related diseases. There is no doubt that this expert system will help farmers and those involved in the agricultural field to diagnose cucumber-related diseases. Objectives: is to help farmers diagnose pear diseases in the correct way and how to treat these diseases. Method: The system contains a program that diagnoses 22 diseases that affect cucumber. Results: The expert system was evaluated by farmers and praised for helping them with it. Conclusion: The expert system for diagnosing cucumber diseases is effective and usable. (shrink)

A theory of the first-person plural occupies a unique place in philosophical investigations into intersubjectivity and social cognition. In order for the referent of the first-person plural—“the We”—to come into existence, it seems there must be a shared ground of communicative possibility, but this requires a non-circular explanation of how this ground could be shared in the absence of a pre-existing context of communicative conventions. Margaret Gilbert’s and John Searle’s theories of collective intentionality capture important aspects of the We, but (...) fail to fully account for this shared ground of communicative possibility. This paper argues that Merleau-Ponty’s concept of intercorporeity helps reconcile the positive aspects of these accounts while also explaining how the genesis of the social world is continuous with perceptual life in general. This enables an account of the first-person plural as dependent on reciprocal communicative interaction without the need to posit a primitive or primordial “we-mode” of consciousness. “Intercorporeity” designates a bodily openness to others that is not fundamentally different in kind from the general style of bodily comportment found in Merleau-Ponty’s rich analyses of perceptual life. (shrink)

This paper is a response to Baumann's comments on "Can Knowledge Really be Non-fative?" In this paper Baumann's suggestions for how those who deny the factivty of knowledge might deal with the argument from inconsistency and explosion are addressed.

This paper shows how the availability heuristic can be used to justify inference to the best explanation in such a way that van Fraassen's infamous "best of a bad lot" objection can be adroitly avoided. With this end in mind, a dynamic and contextual version of the erotetic model of explanation sufficient to ground this response is presented and defended.

Naive realism in philosophy of perception is the view that (successful) perception involves a direct relation between perceiving subjects and the world. The naive realist says that your perception of a cat on the mat is a worldly relation which is partially constituted by the cat and the mat; a spatio-temporal chunk of the world is presenting itself to you. Recently, Elijah Chudnoff and John Bengson have independently developed an extension of this view to intellectual experiences, or intuitions, for traditionally (...) a priori domains. We argue that this view, which we call ‘Intuitional Naive Realism’ (INR), will not have the epistemic advantages that Chudnoff and Bengson claim that it does. In perception, but not intuition, there is a deeper explanation of what makes it the case that one experience is constituted by the world while another is not. Whether or not INR is true, then, it does no interesting epistemological work for traditionally a priori domains. (shrink)

Human persons can act with libertarian freedom in heaven according to one prominent view, because they have freely acquired perfect virtue in their pre-heavenly lives such that acting rightly in heaven is volitionally necessary. But since the character of human persons is not perfect at death, how is their character perfected? On the unilateral model, God alone completes the perfection of their character, and, on the cooperative model, God continues to work with them in purgatory to perfect their own character. (...) I argue that although both models can make sense of all human persons enjoying free will in heaven on various assumptions, the cooperative model allows all human persons in heaven to enjoy a greater degree of freedom. This consideration about the degree of heavenly freedom provides a reason for God to implement the cooperative model. (shrink)

A cognitive ethnography of how bioengineering scientists create innovative modeling methods. In this first full-scale, long-term cognitive ethnography by a philosopher of science, Nancy J. Nersessian offers an account of how scientists at the interdisciplinary frontiers of bioengineering create novel problem-solving methods. Bioengineering scientists model complex dynamical biological systems using concepts, methods, materials, and other resources drawn primarily from engineering. They aim to understand these systems sufficiently to control or intervene in them. What Nersessian examines here is how cutting-edge bioengineering (...) scientists integrate the cognitive, social, material, and cultural dimensions of practice. Her findings and conclusions have broad implications for researchers in philosophy, science studies, cognitive science, and interdisciplinary studies, as well as scientists, educators, policy makers, and funding agencies. In studying the epistemic practices of scientists, Nersessian pushes the boundaries of the philosophy of science and cognitive science into areas not ventured before. She recounts a decades-long, wide-ranging, and richly detailed investigation of the innovative interdisciplinary modeling practices of bioengineering researchers in four university laboratories. She argues and demonstrates that the methods of cognitive ethnography and qualitative data analysis, placed in the framework of distributed cognition, provide the tools for a philosophical analysis of how scientific discoveries arise from complex systems in which the cognitive, social, material, and cultural dimensions of problem-solving are integrated into the epistemic practices of scientists. Specifically, she looks at how interdisciplinary environments shape problem-solving. Although Nersessian’s case material is drawn from the bioengineering sciences, her analytic framework and methodological approach are directly applicable to scientific research in a broader, more general sense, as well. (shrink)

How should we make sense of praise and blame and other such reactions towards collective agents like governments, universities, or corporations? Collective agents can be appropriate targets for our moral feelings and judgements because they can maintain and express moral positions of their own. Moral agency requires being capable of recognising moral considerations and reasons. It also necessitates the ability to react reflexively to moral matters, i.e. to take into account new moral concerns when they arise. While members of a (...) collective agent are capable of this, the collective frames the thinking of the individual moral agents within it and affects their options in myriad ways. The moral positions thus formed and expressed belong to the collective. Crucially, unlike marginal moral agents, collective agents as moral actors can be held fully responsible for their acts and omissions. (shrink)

In this paper, I discuss whether different interpretations of the ‘aim’ of belief—both the teleological and normative interpretations—have the resources to explain certain descriptive and normative features of suspended belief (suspension). I argue that, despite the recent efforts of theorists to extend these theories to account for suspension, they ultimately fail. The implication is that we must either develop alternative theories of belief that can account for suspension, or we must abandon the assumption that these theories ought to be able (...) to account for suspension. To close, I briefly consider some of the reasons we have in favour of pursing each of these options, and I suggest that it is worth exploring the possibility that suspension is best understood as its own attitude, independently of theories of belief’s ‘aim’. (shrink)

We address the ethics of scenarios in which one party entraps, intentionally tempts or intentionally tests the virtue of another. We classify, in a new manner, three distinct types of acts that are of concern, namely acts of entrapment, of intentional temptation and of virtue testing. Our classification is, for each kind of scenario, of itself neutral concerning the question whether the agent acts permissibly. We explain why acts of entrapment are more ethically objectionable than like acts of intentional temptation (...) and why these, in turn, are more ethically objectionable than like acts of virtue testing. Along the way, we scrutinize, and eventually reject, the view that acts of entrapment are ethically unacceptable because intentional temptation is involved in entrapment. (shrink)

Perception is a central means by which we come to represent and be aware of particulars in the world. I argue that an adequate account of perception must distinguish between what one perceives and what one's perceptual experience is of or about. Through capacities for visual completion, one can be visually aware of particular parts of a scene that one nevertheless does not see. Seeing corresponds to a basic, but not exhaustive, way in which one can be visually aware of (...) an item. I discuss how the relation between seeing and visual awareness should be explicated within a representational account of the mind. Visual awareness of an item involves a primitive kind of reference: one is visually aware of an item when one's visual perceptual state succeeds in referring to that particular item and functions to represent it accurately. Seeing, by contrast, requires more than successful visual reference. Seeing depends additionally on meta-semantic facts about how visual reference happens to be fixed. The notions of seeing and of visual reference are both indispensable to an account of perception, but they are to be characterized at different levels of representational explanation. (shrink)

There is a close conceptual relation between the notions of religious disenchantment and scientific naturalism. One way of resisting philosophical and cultural implications of the scientific image and the subsequent process of disenchantment can be found in attempts at sketching a reenchanted worldview. The main issue of accounts of reenchantment can be a rejection of scientific results in a way that flies in the face of good reason. Opposed to such reenchantment is scientific naturalism which implies an entirely disenchanted worldview. (...) However, one of the main problems of scientific naturalism are placement problems. A reenchanted worldview does have the conceptual resources to avoid placement problems, yet seems to throw out the baby with the bathwater. A dilemma results: the Scylla of an undesirable scientific naturalism and the Charybdis of a rampant, seemingly prescientific reenchanted worldview. In this article I argue that there is a safe middle passage between these two options, i.e. the recently proposed liberal naturalism which allows for a moderate normative reenchantment. Liberal naturalism lets us have it both ways: avoiding the placement problems while retaining a necessary and reasonable adherence to science, thereby avoiding both an all-too restrictive scientific naturalism. (shrink)

This paper explores types of organisational ignorance and ways in which organisational practices can affect the knowledge we have about the causes and effects of our actions. I will argue that because knowledge and information are not evenly distributed within an organisation, sometimes organisational design alone can create individual ignorance. I will also show that sometimes the act that creates conditions for culpable ignorance takes place at the collective level. This suggests that quality of will of an agent is not (...) necessary to explain culpable ignorance in an organisational setting. (shrink)

Universities are knowledge institutions. Compared to several other knowledge institutions (e.g. schools, government research organisations, think tanks), research universities have unusual, anarchic organisational features. We argue that such anarchic features are not a weakness. Rather, they reflect the special standing of research universities among knowledge institutions. We contend that the distributed, self-organising mode of knowledge production maintains a diversity of approaches, topics and solutions needed in frontier research, which involves generating relevant knowledge under uncertainty. Organisational disunity and inconsistencies should sometimes (...) be protected by institutional structures and procedures in order for research universities to best serve their purpose as knowledge institutions. The quality control for the knowledge produced stems from knowledge fields, clusters of knowledge and research that exist beyond the confines of individual organisations. The diversity of epistemic contributions is therefore kept in check by the order imposed by the internal logic of science as a social practice. Our argument provides a new defence for the autonomy of research conducted at universities. (shrink)

A naturalistic theory of intentionality is proposed that differs from previous evolutionary and tracking theories. Full-blown intentionality is constructed through a series of evolvable refinements. A first, minimal version of intentionality originates from a conjectured internal process that estimates an organism’s own fitness and that continually modifies the organism. This process produces the directedness of intentionality. The internal estimator can be parsed into intentional components that point to components of the process that produces fitness. It is argued that such intentional (...) components can point to mistaken or non-existing entities. Different Fregian senses of the same reference correspond to different components that have different roles in the estimator. Intentional components that point to intentional components in other organisms produce directedness towards semi-abstract entities. Finally, adding a general, population-wide means of communication enables intentional components that point to fully abstract entities. Intentionality thus naturalized has all of its expected properties: being directed; potentially making errors; possibly pointing to non-existent, abstract, or rigid entities; capable of pointing many-to-one and one-to-many; distinguishing sense and reference; having perspective and grain; and having determinate content. Several examples, such as ‘swampman’ and ‘brain-in-a-vat’, illustrate how the theory can be applied. (shrink)

The ethical question is whether university mask mandates should be relaxed. I argue that the use of face masks by healthy individuals has uncertain benefits, which potential harms may outweigh, and should therefore be voluntary. Systematic reviews by the World Health Organization (WHO) and Cochrane Acute Respiratory Infections concluded that the use of face masks by healthy individuals in the community lacks effectiveness in reducing viral transmission based on moderate-quality evidence. The only two randomized controlled trials of face masks published (...) during the pandemic found little to no benefit. Without high-quality evidence, it is difficult to justify a requirement rather than a recommendation. Notwithstanding, one might argue that the precautionary principle justifies mask mandates. If the precautionary principle can justify implementing mask mandates due to the risk of forgoing possible benefit, then it might also be able to justify not implementing mask mandates due to the risk of potential harm caused by the intervention. It is commonly thought that there is little to lose from the use of face masks, but this is not necessarily true. It is possible that masks have done more harm than good. (shrink)

According to the character condition, a person is morally responsible for an action A only if a character trait of hers non-accidentally motivates her performing A. But that condition is untenable according to the out of character objection because people can be morally responsible for acting out of character. We reassess this common objection. Of the seven accounts of acting out of character that we outline, only one is even a prima facie counterexample to the character condition. And it is (...) not obvious that people act out of character in that sense. We argue that whether the out of character objection succeeds ultimately depends on the unnoticed methodological commitment that cases that may not resemble human life provide good data for theorizing about moral responsibility. But even if such cases provide good data, the forcefulness of the objection is at least deflated given that its persuasive power is supposed to come from clear real-life cases. (shrink)

In this paper significant challenges are raised with respect to the view that explanation essentially involves unification. These objections are raised specifically with respect to the well-known versions of unificationism developed and defended by Michael Friedman and Philip Kitcher. The objections involve the explanatory regress argument and the concepts of reduction and scientific understanding. Essentially, the contention made here is that these versions of unificationism wrongly assume that reduction secures understanding.