Does the scope of beliefs that people can form on the basis of perception remain fixed, or can it be amplified with learning? The answer to this question is important for our understanding of why and when we ought to trust experts, and also for assessing the plausibility of epistemic foundationalism. The empirical study of perceptual expertise suggests that experts can indeed enrich their perceptual experiences through learning. Yet this does not settle the epistemic status of their beliefs. One might (...) hold that the background knowledge of experts is the cause of their enriched perceptual experience – what is known as cognitive permeation – and so their subsequent beliefs are only mediately justified because they are epistemically dependent on this background knowledge. I argue against this view. Perceptual expertise is not the result of cognitive permeation but is rather the result of perceptual learning, and perceptual learning does not involve cognition in a way that entails cognitive permeation. Perceptual expertise thus provides a means of widening the scope of the immediately justified beliefs that experts can form. (shrink)

I shall argue that where a coercive public health policy is backed by a clear medical consensus, appropriately reconsidered in the light of claims of doubters, there is sometimes a moral obligation on the part of the public to defer to the experts. The argument will be geared to the continuing controversy in the UK over the safety of the measles/mumps/rubella (MMR) vaccine. vaccine.

Expert testimony figures in recent debates over how best to understand the norm of assertion and the domain-specific epistemic expectations placed on testifiers. Cases of experts asserting with only isolated second-hand knowledge (Lackey 2011, 2013) have been used to shed light on whether knowledge is sufficient for epistemically permissible assertion. I argue that relying on such cases of expert testimony introduces several problems concerning how we understand expert knowledge, and the sharing of such (...) class='Hi'>knowledge through testimony. Refinements are needed to clarify exactly what principles are being tested by such cases; but once refined, such cases raise more questions than they answer. (shrink)

Given the sheer vastness of the totality of contemporary human knowledge and our individual epistemic finitude it is commonplace for those of us who lack knowledge with respect to some proposition(s) to appeal to experts (those who do have knowledge with respect to that proposition(s)) as an epistemic resource. Of course, much ink has been spilled on this issue and so concern here will be very narrowly focused on testimony in the context of epistemological views that incorporate (...) evidentialism and internalism, and which are either reductivist or non-reductivist in nature. Also, as the main question about testimony addressed here is whether or not testimony can provide any basic justification at all, attention will be narrowly focused on the simple case where one is presented with testimony that something is the case from only one source and on one occasion. It turns out that there are some seriously odd epistemic features of such appeals to expertise that arise both for those who intend to accept internalism, evidentialism and reductivism about justification by testimony and for those who intend to accept internalism, evidentialism and non-reductivism about justification by testimony. (shrink)

Questions about knowledge in expert sport are not only of applied significance: they also take us to the heart of foundational and heavily-disputed issues in the cognitive sciences. To a first (rough and far from uncontroversial) approximation, we can think of expert ‘knowledge’ as whatever it is that grounds or is applied in (more or less) effective decision-making, especially when in a competitive situation a performer follows one course of action out of a range of possibilities. (...) In these research areas, studies of motor expertise have for many years actively contributed to broader debates in philosophy and psychology (Abernethy, Burgess-Limerick, & Parks, 1994; Williams, Davids, & Williams, 1999). When we navigate the world flexibly and more or less successfully, how much is this due to a capacity to represent it? In considering alternative options, or planning future actions, we seem to transcend our present environment in some way: what is the balance or relation here between highly-tuned bodily dispositions and background knowledge of the world and its patterns? What changes in these regards as we gain experience and adapt to more complex and challenging environments? Is know-how fundamentally different in kind from ordinary factual knowledge of the world, or knowledge-that? And if expertise in a domain does involve or depend on a knowledge base that is somehow more organized or deeper than that of novices, how is this knowledge selectively and appropriately deployed, often under severe time constraints? (shrink)

How can we make sense of numerous instances of experts in politics, law enforcement, national security, military defense, fire arms, public health, culture, and history working closely with creators of scripted television series in the USA today? Why do TV makers need them? Why and how do these experts come to Hollywood? In order to answer these questions, I carried out a Bourdieusian field analysis of contemporary American TV series production, with a focus on how knowledge about political and (...) social issues is produced and used in the TV industry. I identify four major expertise providers—the state, social movements, research organizations, and independent experts—and build a macro model of expertise exchange in the field of Hollywood TV. I argue that expertise in Hollywood is a form of capital which Hollywood professionals exchange for symbolic capital within the industry and in the field of power; it is also a form of capital that agents of the state, social movements, and research organizations exchange for symbolic capital in the field of power; and finally, independent experts trade their knowledge to accumulate economic and symbolic capital within the industry. This model is based on the analysis of data I collected during fieldwork in Los Angeles over 10 months in 2017–2019, which includes 159 interviews, 7 observation sessions, and archival materials. (shrink)

The original concept of epistemic dependence suggests uncritical deference to expert opinions for non-experts. In the light of recent work in science studies, however, the actual situation of epistemic dependence is seen to involve the necessary and ubiquitous need for lay evaluations of scientific experts. As expert knowledge means restricted cognitive access to some epistemic domain, lay evaluations of expert knowledge are rational and informed only when the criteria used by non-experts when judging experts are (...) different from the criteria used by experts when making their claims. The distinction between ‘substantial knowledge’ and ‘contextual knowledge’ allows for the laypeople to know with experts without having to know precisely what experts know. Such meta-expert evaluations are not specific to the public sphere outside science, nor are they limited internally to science, but they are present in a wide range of contexts in and around science. The paper legitimizes the concept of contextual knowledge by relating it to the relevant literature, and expounds the idea by identifying some elements of such a knowledge. (shrink)

In the last chapter of The Public and its Problems John Dewey outlines the alleged fallacy of "the democratic creed". According to him the fallacy is described as conflating emancipation with the capacity to rule, i.e. the capacity to make policy decisions. His point is that the power to make decisions does not entail a capacity to make good choices. Capable are those in the know, the experts who are "intellectually qualified". The answer to the fallacy is to propose epistocracy: (...) The rule of experts – as Walter Lippman had come close to arguing. But Dewey tries to refute the argument for epistocracy. He rehearses the old platonic wisdom that the harmonious state... (shrink)

Chest pain is the pain felt in the chest by infants, children and adolescents. In most cases the pain is not associated with the heart. It is mainly recognized by the observance or report of pain by the infant, child or adolescent by reports of distress by parents or care givers. Chest pain is not unusual in children. Lots of children are seen in ambulatory clinics, emergency rooms and hospitals and cardiology clinics. Usually there is a benign cause for the (...) pain for utmost children. Certain patients have conditions that are serious and perhaps life-threatening. Chest pain in pediatric patients needs careful physical examination and a detailed history that would point to the possibility of a serious cause. Researches of pediatric chest pain are scarce. It has been difficult to create evidence-based guidelines for evaluation. In this paper we propose an expert system to help doctors and parents, and care giver in diagnosing chest pain in infants and children. This expert System is design and implemented in SL5 Object language. (shrink)

We sometimes seek expert guidance when we don’t know what to think or do about a problem. In challenging cases concerning medical ethics, we may seek a clinical ethics consultation for guidance. The assumption is that the bioethicist, as an expert on ethical issues, has knowledge and skills that can help us better think about the problem and improve our understanding of what to do regarding the issue. The widespread practice of ethics consultations raises these questions and (...) more: -/- • What would it take to be a moral expert? • Is anyone a moral expert, and if so, how could a non-expert identify one? • Is it in any way problematic to accept and follow the advice of a moral expert as opposed to coming to moral conclusions on your own? • What should we think and do when moral experts disagree about a practical ethical issue? -/- In what follows, we address these theoretical and practical questions about moral expertise. (shrink)

The truth of every human being is the end his life with death, and this leads to leaving assets and funds for those after him and can lead to hate between the heirs, it has made a point of Islamic law on all aspects of life, including the subject of the inheritance of the deceased. The main problem is how to get the knowledge of the basics of inheritance. This paper reviews work done in the use of expert (...) system software to calculate inheritance in Islam. A proposed expert system was designed and developed using CLIPS language to calculate the inheritance in Islam. (shrink)

In this chapter, I survey and assess various answers to two basic questions concerning experts: (1) What is an expert?; (2) How can laypeople identify the relevant experts? These questions are not mutually independent, since the epistemology and the metaphysics of experts should go hand in hand. On the basis of our platitudes about experts, I will argue that the prevailing accounts of experts such as truth-linked, knowledge-linked, understanding-linked or service-oriented accounts are inadequate. In contrast, I will defend (...) an evidence-linked account of expertise. In the second part of the chapter, I address the question of how laypeople can identify experts in this sense. Here, I will argue that agreement among experts plays a major role. I will outline how laypeople can follow this criterion without running into circularity. (shrink)

In this paper, I argue that widespread expert disagreement about sufficiently many issues central to a democratic decision-making procedure can nullify the duty to vote. I begin by drawing a distinction between different ways that we might conceive of the duty to vote, i.e. whether it is a duty to vote, no matter how one votes, or a duty to vote well. I then review some prominent arguments in favor of the existence of the duty to vote and suggest (...) that they go through only when the potential voter in question would vote well. So the most promising existing arguments for the duty to vote, if successful, really show not merely that citizens have a duty to vote, but more strongly that they have a duty to vote well. I then discuss the epistemology of expert disagreement to show how circumstances of expert disagreement can nullify such a duty by making it impossible to vote well. To my knowledge, no one has yet brought considerations of the epistemology of expert disagreement to bear on this topic. That is my aim in the main argument of this paper. The remainder of the paper addresses alternative characterizations of ‘voting well’, and argues that on other plausible characterizations, expert disagreement will still often nullify the duty to vote. (shrink)

This abstract is a synopsis of the paper "An Expert System for Diagnosing Whooping Cough Using CLIPS." The bacterium Bordetella pertussis causes whooping cough, a highly infectious respiratory ailment with several phases of symptoms. An accurate and timely diagnosis is critical for effective treatment and the avoidance of future transmission. The construction of an expert system for detecting whooping cough using the CLIPS (C Language Integrated Production System) architecture is highlighted in this abstract. The expert system provides (...) standardized and systematic evaluation, which reduces the chance of misdiagnosis and improves patient outcomes. Maintenance and upgrades are required to keep the system current with growing medical knowledge. More study in this area has the potential to advance expert systems in identifying and managing a variety of medical disorders. (shrink)

A consensus in a scientific community is often used as a resource for making informed public-policy decisions and deciding between rival expert testimonies in legal trials. This paper contains a social-epistemic analysis of the high-profile Bendectin drug controversy, which was decided in the courtroom inter alia by deference to a scientific consensus about the safety of Bendectin. Drawing on my previously developed account of knowledge-based consensus, I argue that the consensus in this case was not knowledge based, (...) hence courts’ deference to it was not epistemically justified. I draw sceptical lessons from this analysis regarding the value of scientific consensus as a desirable and reliable means of resolving scientific controversies in public life. (shrink)

Local and global dependencies and interactions between individuals, groups and institutions are becoming increasingly opaque and risky. This is due to increased importance of highly complex abstract systems created and supported in order to maintain of transport, communications, finance, energy, media, security infrastructure, as well as social and cultural institutions. These systems require the knowledge and skills of experts. Professionals that not only satisfy identified needs, but also create new thereby contribute the development of cultural narcissism phenomenon. The aim (...) of the book is to discuss relations of experts and mass narcissism, on the background of shaping the knowledge societies and knowledge-based economies, and moreover their transformations towards the societies and economies based on creativity and wisdom. Undertaken analysis is contribute to sociology of expertise and intervention by indicating four selected contemporary issues: dilemmas of the knowledge society development; selection between trust substitutes and its reconstruction methods; transformations of social stratification; and the choice of pathways to socio-economic development. (shrink)

Migraine is a complex neurological disorder characterized by recurrent moderate to severe headaches, accompanied by additional symptoms such as nausea, sensitivity to light and sound, and visual disturbances. Accurate and timely diagnosis of migraines is crucial for effective management and treatment. However, the diverse range of symptoms and overlapping characteristics with other headache disorders pose challenges in the diagnostic process. In this research, we propose the development of an expert system for migraine diagnosis using artificial intelligence and the CLIPS (...) (C Language Integrated Production System) framework. The expert system utilizes a rule-based inference engine to analyze patient-reported symptoms and provide reliable diagnoses or probability scores indicating the likelihood of migraine. The knowledge base of the expert system is designed based on expert knowledge obtained from medical professionals specializing in migraines. The collected knowledge is translated into a structured format suitable for the CLIPS inference engine, incorporating rules and facts to represent the diagnostic criteria and associated symptoms. The system prompts users to provide relevant information about their symptoms, medical history, and potential triggers. It applies the defined rules and facts to evaluate the likelihood of migraine and generate accurate diagnoses or probability scores. Preliminary evaluation results demonstrate the potential of the expert system as a valuable tool for diagnosing migraines. A dataset of anonymized patient records with confirmed migraine cases was used to test the system. The diagnoses generated by the expert system were compared against the known diagnoses, and a high level of accuracy was observed, with 90% of cases correctly diagnosed as migraines. These results highlight the effectiveness and reliability of the system in assisting medical professionals in the diagnosis of migraines. The proposed expert system offers several advantages for migraine diagnosis. It leverages the collective knowledge and expertise of experienced migraine specialists, providing a standardized and consistent approach to diagnosis. The system can handle large amounts of patient data and effectively analyse complex relationships between symptoms, risk factors, and diagnostic criteria. Furthermore, it offers real-time feedback and recommendations, supporting medical professionals in their clinical decision-making process. Future work involves refining the expert system based on feedback from medical experts, expanding the knowledge base to encompass a wider range of symptoms and risk factors, and conducting further evaluations to enhance its accuracy and applicability in clinical settings. The development of an expert system for migraine diagnosis has the potential to improve the diagnostic process, leading to more effective management and treatment strategies for individuals suffering from migraines. (shrink)

Diabetes is a major public health issue that affects the nations of our time to a large extent and is described as a non-communicable epidemic. Diabetes mellitus is a common disease where there is too much sugar (glucose) floating around in your blood. This occurs because either the pancreas can’t produce enough insulin or the cells in body have become resistant to insulin. The concentration in this paper is on diagnosis diabetes by designing a proposed expert system. The main (...) goal of this expert system is to get the appropriate diagnosing of the illness, dealing with it quickly, and tips for permanent treatment whenever possible is given out. SL5 object expert system language was used for designing and implementing the proposed expert system. (shrink)

This work treats the correlative concepts knowledge and opinion, in various senses. In all senses of ‘knowledge’ and ‘opinion’, a belief known to be true is knowledge; a belief not known to be true is opinion. In this sense of ‘belief’, a belief is a proposition thought to be true—perhaps, but not necessarily, known to be true. All knowledge is truth. Some but not all opinion is truth. Every proposition known to be true is believed to (...) be true. Some but not every proposition believed to be true is known to be true. Our focus is thus on propositional belief (“belief-that”): the combination of propositional knowledge (“knowledge-that”) and propositional opinion (“opinion-that”). Each of a person’s beliefs, whether knowledge or opinion, is the end result of a particular thought process that continued during a particular time interval and ended at a particular time with a conclusive act—a judgment that something is the case. This work is mainly about beliefs in substantive informative propositions—not empty tautologies. We also treat objectual knowledge (knowledge of objects in the broadest sense, or “knowledge-of”), operational knowledge (abilities and skills, “knowledge-how-to”, or “know-how”), and expert knowledge (expertise). Most points made in this work have been made by previous writers, but to the best of our knowledge, they have never before been collected into a coherent work accessible to a wide audience. -/- Key words: belief, knowledge/opinion, propositional, operational, objectual, cognition, . (shrink)

Practical knowledge is discussed in close relation to practical expertise. For both anti-intellectualists and intellectualists, the knowledge of how to φ is widely assumed to entail the practical expertise in φ-ing. This paper refutes this assumption. I argue that non-experts can know how to φ via other experts’ knowledge of φ-ing. Know-how can be ‘outsourced’. I defend the outsourceability of know-how, and I refute the objections that reduce outsourced know-how to the knowledge of how to ask (...) for help, of how to get things done, or of external contents. Interestingly, outsourcing differs from social cooperation, collective agency, testimonial transmission, and many other notions in social-epistemological debates. Thus, outsourcing provides not only a hitherto unconsidered form of know-how but also a novel way for knowledge to be social. Furthermore, outsourcing plausibly involves a ‘social’ cognitive extension that does not rest on EMT or HEC. Given the outsourceability of know-how, we must reconsider the nature of know-how and expertise, as well as the relation between non-experts and experts. (shrink)

The role of scientists as experts is crucial to public policymaking. However, the expert role is contested and unsettled in both public and scholarly discourse. In this paper, I provide a systematic account of the role of scientists as experts in policymaking by examining whether there are any normatively relevant differences between this role and the role of scientists as researchers. Two different interpretations can be given of how the two roles relate to each other. The separability view states (...) that there is a normatively relevant difference between the two roles, whereas the inseparability view denies that there is such a difference. Based on a systematic analysis of the central aspects of the role of scientists as experts – that is, its aim, context, mode of output, and standards, I propose a moderate version of the separability view. Whereas the aim of scientific research is typically to produce new knowledge through the use of scientific method for evaluation and dissemination in internal settings, the aim of the expert is to provide policymakers and the public with relevant and applicable knowledge that can premise political reasoning and deliberation. (shrink)

Mouth ulcers, also known as canker sores, are a common oral health issue affecting a significant portion of the population. Early and accurate diagnosis of mouth ulcers is crucial for effective treatment and prevention of complications. This paper presents an expert system developed using CLIPS (C Language Integrated Production System) to diagnose mouth ulcer disease. The expert system utilizes a rule-based approach, incorporating a comprehensive knowledge base consisting of symptoms, risk factors, and medical literature related to mouth (...) ulcers. By employing an inference engine, the system evaluates patient input against the rules and generates a diagnosis based on the matching symptoms and relevant factors. The system also provides detailed explanations and recommendations for each diagnosis, aiding healthcare professionals and patients in understanding the condition and selecting appropriate treatment options. The development and validation of the expert system involved a multi-step process, including knowledge acquisition, rule formulation, and testing against a diverse dataset of mouth ulcer cases. The system's performance was evaluated by comparing its diagnoses with those made by medical professionals, demonstrating a high level of accuracy and consistency. The implementation of an expert system for diagnosing mouth ulcer disease offers several advantages, including the ability to provide timely and accessible healthcare services, reduce misdiagnosis rates, and assist healthcare professionals in decision-making processes. Moreover, it empowers individuals to make informed decisions about their health and seek appropriate medical intervention. This paper contributes to the field of medical expert systems by showcasing the practical application of CLIPS in the diagnosis of mouth ulcer disease. The results demonstrate the potential of expert systems as valuable tools for healthcare professionals and patients alike, enhancing the efficiency and accuracy of diagnosis in oral health care. (shrink)

Mainstream analytic epistemology regards knowledge as the property of individuals, rather ‎than groups. Drawing on insights from the reality of knowledge production and dissemination ‎in the sciences, I argue, from within the analytic framework, that this view is wrong. I defend ‎the thesis of ‘knowledge-level justification communalism’, which states that at least some ‎knowledge, typically knowledge obtained from expert testimony, is the property of a ‎community and possibly none of its individual members, in that (...) only the community or some ‎members of it collectively possesses knowledge-level justification for its individual members’ ‎beliefs. I address several objections that individuals, qua individuals, have or are able to ‎acquire knowledge-level justification for all the beliefs they obtain from expert testimony. I ‎argue that the problem I identify with individualism is invariant under any specific account of ‎justification, internalist or externalist. ‎. (shrink)

Abstract: Colon cancer is a prevalent and life-threatening disease, necessitating accurate and timely diagnosis for effective treatment and improved patient outcomes. This research paper presents the development of a knowledge-based system for diagnosing colon cancer using the CLIPS language. Knowledge-based systems offer the potential to assist healthcare professionals in making informed diagnoses by leveraging expert knowledge and reasoning mechanisms. The methodology involves acquiring and structuring medical knowledge specific to colon cancer, followed by the implementation of (...) a knowledge- based system using CLIPS. The system's design integrates relevant medical databases and employs advanced reasoning mechanisms to facilitate accurate diagnosis. Evaluation results demonstrate the system's effectiveness, with high accuracy and sensitivity rates compared to existing methods. The findings highlight the potential of knowledge-based systems in improving clinical practice and patient care. The research contributes to the growing field of medical informatics by demonstrating the feasibility and effectiveness of CLIPS-based knowledge systems for colon cancer diagnosis. Future research can focus on enhancing system performance and expanding its scope to encompass other types of cancer diagnoses. (shrink)

The internet has considerably changed epistemic practices in science as well as in everyday life. Apparently, this technology allows more and more people to get access to a huge amount of information. Some people even claim that the internet leads to a democratization of knowledge. In the following text, we will analyze this statement. In particular, we will focus on a potential change in epistemic structure. Does the internet change our common epistemic practice to rely on expert opinions? (...) Does it alter or even undermine the division of epistemic labor? The epistemological framework of our investigation is a naturalist-pragmatist approach to knowledge. We take it that the internet generates a new environment to which people seeking information must adapt. How can they, and how should they, expand their repertory of social markers to continue the venture of filtering, and so make use of the possibilities the internet apparently provides? To find answers to these questions we will take a closer look at two case studies. The first example is about the internet platform WikiLeaks that allows so-called whistle-blowers to anonymously distribute their information. The second case study is about the search engine Google and the problem of personalized searches. Both instances confront a knowledge-seeking individual with particular difficulties which are based on the apparent anonymity of the information distributor. Are there ways for the individual to cope with this problem and to make use of her social markers in this context nonetheless? (shrink)

There is no doubt that custard apple diseases are among the important reasons that destroy the Custard Apple plant and its agricultural crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases is a good step to provide the appropriate and correct treatment. Determining the treatment with high accuracy depends on the method used to correctly diagnose the disease, expert systems can greatly help in avoiding damage to these plants. The expert system (...) correctly diagnoses Custard Apple disease to make it easier for farmers to find the right treatment based on the appropriate diagnosis. Objectives: A specialized syllable language system was established for the diagnosis of Custard Apple plant disease. (shrink)

The United States Fish and Wildlife Service in Alaska, USA, conducted a species status assessment for a petition to list the Alexander Archipelago wolf (Canis lupus ligoni) under the Endangered Species Act in 2020-2022. This federal undertaking could not be adequately prepared without including the knowledge of Indigenous People who have a deep cultural connection with the subspecies. Our objective is to communicate the authoritative expertise and voice of the Indigenous People who partnered on the project by demonstrating how (...) their knowledge contributed to the species status assessment. The Indigenous knowledge applied in the assessment is the cultural and intellectual property of those who have shared it. We employed rapid appraisal research to expeditiously develop a preliminary and qualitative understanding of Indigenous People's cultural and ecological knowledge of Alexander Archipelago wolves. We used semi-directed interviewing and inductive coding from grounded theory for text analysis. Indigenous knowledge contributed to the agency's understanding of the Alexander Archipelago wolf in Southeast Alaska and helped the agency with their classification decision. Indigenous research partners explained the rich cultural significance and position of wolves in Tlingit society and described human–wolf relationships and ecological interactions. The agency used a single-species assessment approach based in species ecology and conservation biology, whereas the Indigenous wolf experts applied a multi-species, community ecology approach based in a sociocultural context of balance and respect. The Indigenous wolf experts successfully addressed knowledge gaps identified by the agency. The partners were challenged by a short regulatory timeframe that did not allow for comprehensive study of Indigenous knowledge and constrained review and feedback by Indigenous experts. The United States Fish and Wildlife Service learned that its assessment framework was not designed to account for an Indigenous worldview. To level the playing field, the agency and Indigenous experts should discuss how to co-develop an assessment framework that equitably applies both perspectives. (shrink)

With the rapid development of artificial intelligence (AI), understanding its capabilities and limitations has become significant for mitigating unfounded anxiety and unwarranted optimism. As part of this endeavor, this study delves into the following question: Can AI become an expert? More precisely, should society confer the authority of experts on AI even if its decision-making process is highly opaque? Throughout the investigation, I aim to identify certain normative challenges in elevating current AI to a level comparable to that of (...) human experts. First, I will narrow the scope by proposing the definition of an expert. Along the way, three normative components of experts -trust, explainability, and responsibility-will be presented. Subsequently, I will suggest why AI cannot become a trustee, successfully transmit knowledge, or take responsibility. Specifically, the arguments focus on how these factors regulate expert judgments, which are not made in isolation but within complex social connections and spontaneous dialogue. Finally, I will defend the plausibility of the presented criteria in response to a potential objection, the claim that some machine learning-based algorithms, such as AlphaGo, have already been recognized as experts. (shrink)

I propose to study one problem for epistemic dependence on experts: how to locate experts on what I will call cognitive islands. Cognitive islands are those domains for knowledge in which expertise is required to evaluate other experts. They exist under two conditions: first, that there is no test for expertise available to the inexpert; and second, that the domain is not linked to another domain with such a test. Cognitive islands are the places where we have the fewest (...) resources for evaluating experts, which makes our expert dependences particularly risky. -/- Some have argued that cognitive islands lead to the complete unusability of expert testimony: that anybody who needs expert advice on a cognitive island will be entirely unable to find it. I argue against this radical form of pessimism, but propose a more moderate alternative. I demonstrate that we have some resources for finding experts on cognitive islands, but that cognitive islands leave us vulnerable to an epistemic trap which I will call runaway echo chambers. In a runaway echo chamber, our inexpertise may lead us to pick out bad experts, which will simply reinforce our mistaken beliefs and sensibilities. (shrink)

In this paper a Knowledge-Based System (KBS) for determining the appropriate students major according to his/her preferences for sophomore student enrolled in the Faculty of Engineering and Information Technology in Al-Azhar University of Gaza was developed and tested. A set of predefined criterions that is taken into consideration before a sophomore student can select a major is outlined. Such criterion as high school score, score of subject such as Math I, Math II, Electrical Circuit I, and Electronics I taken (...) during the student freshman year, number of credits passed, student cumulative grade point average of freshman year, among others, were then used as input data to KBS. KBS was designed and developed using Simpler Level Five (SL5) Object expert system language. KBS was tested on three generation of sophomore students from the Faculty of Engineering and Information Technology of the Al-Azhar University, Gaza. The results of the evaluation show that the KBS is able to correctly determine the appropriate students major without errors. (shrink)

Knowledge brokers are among the main channels of communication between scientists and the public and a key element to establishing a relation of trust between the two. But translating knowledge from the scientific community to a wider audience presents several difficulties, which can be accentuated in times of crisis. In this paper we study some of the problems that knowledge brokers face when communicating in times of crisis. During the first wave of the COVID-19 pandemic, we collected (...) interviews with Italian experts that played a major role as knowledge brokers in the local media. We asked them questions about five main topics: the features and role of science communicators; the use of language in communicating science; the importance of the relation of trust with the public; the peculiarity of communicating in a context of emergency; the problem of disagreement among experts, and its public perception and communication. The goal of this paper is to understand, through the words of knowledge brokers themselves, what they consider as best practices (and obstacles) to create trust between scientists and the public. Our empirical work can inform normative accounts of what knowledge brokering should be about. (shrink)

Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and solutions, and (...) also allows ordinary users to contribute exact problem reports in a structured manner. Objectives: The main goal of this Knowledge Based System is to get the suitable problem desktop PC symptoms and the correct way to solve the errors. Methods: In this paper the design of the proposed Knowledge Based System which was produced to help users of desktop PC in knowing many of the problems and error such as : Power supply problems, CPU errors, RAM dumping error, hard disk errors and bad sectors and suddenly restarting PC. The proposed Knowledge Based System presents an overview about desktop PC hardware errors are given, the cause of fault are outlined and the solution to the problems whenever possible is given out. CLIPS Knowledge Based System language was used for designing and implementing the proposed expert system. Results: The proposed PC desktop troubleshooting Knowledge Based System was evaluated by IT students and they were satisfied with its performance. (shrink)

Background: Dengue Disease is a mosquito-borne tropical disease caused by the dengue virus, symptoms typically begin three to fourteen days after infection. This may include a high fever, headache, vomiting, muscle and joint pains, and a characteristic skin rash. Dengue serology is applied in different settings, such as for surveillance, in health care facilities in endemic areas and in travel clinics in non-endemic areas. The applicability and quality of serological tests in dengue endemic regions has to be judged against a (...) background of potential cross reactivity with other flavi-viruses, difficulties in distinguishing primary from secondary infections and technological problems related to the fact that most dengue endemic regions are relatively poor of resources .Objectives: to help doctors and patients in diagnosing Dengue Disease and give them the information of how to prevent Dengue Disease and to be able to understand the signs and symptoms of Dengue Disease. Methods: We collected all relevant material for Dengue Disease. Then we designed and implemented a knowledge based system for diagnosing Dengue Disease using SL5 Object Language. Results: The knowledge based system was evaluated by a group of Patients and specialized doctors and they found it very friendly and easy to use. (shrink)

There is a large gap between the specialized knowledge of scientists and laypeople’s understanding of the sciences. The novice-expert problem arises when non-experts are confronted with (real or apparent) scientific disagreement, and when they don’t know whom to trust. Because they are not able to gauge the content of expert testimony, they rely on imperfect heuristics to evaluate the trustworthiness of scientists. This paper investigates why some bodies of scientific knowledge become polarized along political fault lines. (...) Laypeople navigate conflicting epistemic and social demands in their acceptance of scientific testimony; this might explain their deference to scientific fringe theories, which often goes together with denying established scientific theories. I evaluate three approaches to mitigate denialism: improving the message, improving the messenger, and improving the environment in which the message is conveyed. (shrink)

A newborn baby is an infant within the first 28 days of birth. Diagnosis and treatment of infant diseases require specialized medical resources and expert knowledge. However, there is a shortage of such professionals globally, particularly in low-income countries. To address this challenge, a knowledge-based system was designed to aid in the diagnosis and treatment of neonatal diseases. The system utilizes both machine learning and health expert knowledge, and a hybrid data mining process model was (...) used to extract knowledge from a clinical dataset. The PART algorithm achieved the highest performance result with 98.06% accuracy under 10-fold cross-validation, and the generated rules were used to develop the knowledge-based system. The system achieved 90.9% accuracy in system performance testing and 89.2% in user acceptance testing, and is intended to serve as an assistant tool for healthcare experts. (shrink)

Mango is an economically significant fruit crop cultivated in various tropical and subtropical regions around the world. However, the productivity and quality of mangoes can be severely impacted by a range of pests. This research paper introduces an innovative approach to identify mango pests using an expert system. The expert system integrates knowledge from entomology and plants to provide accurate identification of common mango pests. The paper outlines the development and implementation of the expert system using (...) Clips shell, which utilizes rule-based techniques to analyze symptoms associated with mango pests. By inputting observed symptoms, such as leaf spots, fruit damage, leaf mild and stem cankers the system can accurately identify the specific pest species affecting the mango tree. For each pest, the paper discusses their specific symptoms and Favorable conditions that affect the mango plant. By understanding the identification and symptoms of these pests, mango growers and agricultural professionals can implement appropriate pest management strategies to mitigate the economic losses caused by these insects. The research presented in this paper aims to contribute to the body of knowledge on mango pest management, facilitating sustainable mango production and ensuring the availability of high-quality mangoes in global markets. (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)

There has been a particular emphasis on knowledge and competence as increasingly important resources for successful enterprises. This notion of knowledge is based on “positive knowledge” that knowing is merely a constructive, linear and accumulative process. We will introduce the notion of “negative knowledge” that involves “giving up” or “bracketing” knowledge in certain situations. When experts encounter something that is incompatible with their knowledge, they should be sensitive enough to recognise a new situation by (...) suspending their action. In addition to exploring the idea of “unlearning”, the paper introduces three other aspects of negative knowledge: “to know what we do not know”, “to know what not to do” and the value of failures. Negative knowledge seems to be possible, useful, and even necessary in expert organisations since old ways of thinking or knowing something often prevent us to see new potentials. (shrink)

In most domains of human life, we are willing to accept that there are experts with greater knowledge and competencies that distinguish them from non-experts or laypeople. Despite this fact, the very recognition of expertise curiously becomes more controversial in the case of “moral experts”. Do moral experts exist? And, if they indeed do, are there ethical reasons for us to follow their advice? Likewise, can emerging technological developments broaden our very concept of moral expertise? In this article, we (...) begin by arguing that the objections that have tried to deny the existence (and convenience) of moral expertise are unsatisfactory. After that, we show that people have ethical reasons to ask for a piece of moral advice in daily life situations. Then, we argue that some Artificial Intelligence (AI) systems can play an increasing role in human morality by becoming moral experts. Some AI-based moral assistants can qualify as artificial moral experts and we would have good ethical reasons to use them. (shrink)

Scientific consensus is widely deferred to in public debates as a social indicator of the existence of knowledge. However, it is far from clear that such deference to consensus is always justified. The existence of agreement in a community of researchers is a contingent fact, and researchers may reach a consensus for all kinds of reasons, such as fighting a common foe or sharing a common bias. Scientific consensus, by itself, does not necessarily indicate the existence of shared (...) class='Hi'>knowledge among the members of the consensus community. I address the question of under what conditions it is likely that a consensus is in fact knowledge based. I argue that a consensus is likely to be knowledge based when knowledge is the best explanation of the consensus, and I identify three conditions—social calibration, apparent consilience of evidence, and social diversity, for knowledge being the best explanation of a consensus. (shrink)

Sanford Goldberg argues for Content Externalism by drawing our attention to the extent to which an individual’s concepts depend on the concepts of others. More specifically, he focuses on cases that involve knowledge transmission between experts and non-experts to make his point. In this paper, I argue that the content internalist cannot only plausibly respond to his argument but that Content Internalism offers a more plausible account of intentional content with regard to knowledge transmission than does Content Externalism.

We argue that common knowledge, of the kind used in reasoning in law and computing is best analyzed using a dialogue model of argumentation (Walton & Krabbe 1995). In this model, implicit premises resting on common knowledge are analyzed as endoxa or widely accepted opinions and generalizations (Tardini 2005). We argue that, in this sense, common knowledge is not really knowledge of the kind represent by belief and/or knowledge of the epistemic kind studied in current (...) epistemology. This paper takes a different approach, defining it in relation to a common commitment store of two participants in a rule-governed dialogue in which two parties engage in rational argumentation (Jackson & Jacobs 1980; van Eemeren & Grootendorst 2004). A theme of the paper is how arguments containing common knowledge premises can be studied with the help of argumentation schemes for arguments from generally accepted opinion and expert opinion. It is argued that common knowledge is a species of provi- sional acceptance of a premise that is not in dispute at a given point in a dia- logue, but may later be defeated as the discussion proceeds . (shrink)

In elite sport, the advantages demonstrated by expert performers over novices are sometimes due in part to their superior physical fitness or to their greater technical precision in executing specialist motor skills. However at the very highest levels, all competitors typically share extraordinary physical capacities and have supremely well-honed techniques. Among the extra factors which can differentiate between the best performers, psychological skills are paramount. These range from the capacities to cope under pressure and to bounce back from setbacks, (...) to the knowledge of themselves, opponents, and the domain, which experts access and apply in performance. In the companion chapter on breadth and depth of knowledge in expert sport (see Chapter 11), we discussed the forms or kinds of knowledge deployed by elite athletes, and described some lines of research which seek to tap and study such expert knowledge (McPherson & MacMahon, 2008; McRobert, Ward, Eccles & Williams, 2011). In this chapter we focus more directly on questions about methods for measuring or more accurately assessing expert knowledge, in particular addressing a wider range of methods to help us understand what experts know. Suggesting that sport researchers can productively adopt and adapt existing qualitative methodologies for integration with more standard quantitative methods, we introduce and survey a number of areas of qualitative research in psychology. (shrink)

The Knowledge Based System for Diagnosing Breast Cancer is used to assist medical students to improve their education on diagnosis and counseling the process of analyzing the biopsy image of the microscope, determining the type of tumor and the treatment method for each case and identifying the disease related questions. According to the Ministry of Health in its annual report in Gaza, between 2009 and 2014 there are 7069 cases of breast cancer, and in 2014 there are 1502 cases (...) of breast cancer . We are now in the age of visual information where 65% of the populations are visual learners; the Knowledge Based System is the easiest way to ensure students remember the information in the long term, using visual and textual information. The Knowledge Based System has an easy-to-use interface to help students diagnose the disease and enhance their information about the disease; the system can be used on smart phones. This Knowledge Based System can be divided into three main parts: The first part is specific questions for the patient, to help student to know questions type. The second part is the process of analyzing the biopsy sample image, to see if the biopsy image is intact or infected. The last part is the video shows ways to treat breast cancer in the form of animation. (shrink)

The study sought to investigate the level of the knowledge possessed by Home Economics lecturers and students on the objectives of Patchwork and Quilting Craft. The design of the study was a descriptive survey. The study was carried out in Colleges of Education in South-East zone of Nigeria. The population of the study comprised of all the Home Economics lecturers and final year students in Colleges of Education. A census sampling approach was used in selecting all the lecturers and (...) students for the study. A researcher-developed questionnaire titled, “Level of knowledge on the Objectives of Patchwork and Quilting Craft Questionnaire” was used for data collection. The instrument was validated by experts in Home Economics and Measurement and Evaluation in Universities and Colleges of Education. The reliability of the instrument was determined using Cronbach’s alpha procedure and an index of 0.84 was obtained. The instrument was administered and collected back by five research assistants. Mean and standard deviation were used for data analysis. Findings show that twenty-four possible specific objectives of teaching patchwork and quilting craft in colleges of education were identified. There was a significant difference at p < 0.05 between the mean ratings of Home Economics lecturers and students on the objectives of teaching patchwork and quilting craft. Based on the findings, it was recommended that lecturers and students of Home Economics should be adequately retrained to gain more knowledge of the objectives of patchwork and quilting craft in colleges of Education. (shrink)

Background: Persimmon is a grassy, perennial plant, belonging to the oral platoon, square-shaped leg, bifurcated, erect, and ranging in height from (10 - 201 cm). Home to Europe and Asia. The Persimmon plant has many benefits, the most important of which are pain relief, treatment of gallbladder disorders, the expulsion of gases, anti-inflammatory, and relaxing nerves. While the Persimmon plant is the ideal option for the start of gardens, it is prone to some common diseases that affect the plant's growth. (...) Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper, the design of the proposed Expert System was produced to help Farmers and those interested in agriculture in diagnosing many of the Persimmon diseases such as Persimmon rust, Verticillium wilt, Anthracnose, Powdery mildew, Black Stem Rot, Stem and stolon canker, Septoria leaf spot. The proposed expert system presents an overview of Persimmon diseases are given, the cause of diseases outlined and the treatment of disease whenever possible is given out. CLIPS Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Persimmon diseases diagnosis expert system was evaluated by Agricultural Students at AL Azhar University and some friends interested in agriculture and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for Farmers and those interested in agriculture. (shrink)

Interdisciplinary understanding requires integration of insights from different perspectives, yet it appears questionable whether disciplinary experts are well prepared for this. Indeed, psychological and cognitive scientific studies suggest that expertise can be disadvantageous because experts are often more biased than non-experts, for example, or fixed on certain approaches, and less flexible in novel situations or situations outside their domain of expertise. An explanation is that experts’ conscious and unconscious cognition and behavior depend upon their learning and acquisition of a set (...) of mental representations or knowledge structures. Compared to beginners in a field, experts have assembled a much larger set of representations that are also more complex, facilitating fast and adequate perception in responding to relevant situations. This article argues how metacognition should be employed in order to mitigate such disadvantages of expertise: By metacognitively monitoring and regulating their own cognitive processes and representations, experts can prepare themselves for interdisciplinary understanding. Interdisciplinary collaboration is further facilitated by team metacognition about the team, tasks, process, goals, and representations developed in the team. Drawing attention to the need for metacognition, the article explains how philosophical reflection on the assumptions involved in different disciplinary perspectives must also be considered in a process complementary to metacognition and not completely overlapping with it. (Disciplinary assumptions are here understood as determining and constraining how the complex mental representations of experts are chunked and structured.) The article concludes with a brief reflection on how the process of Reflective Equilibrium should be added to the processes of metacognition and philosophical reflection in order for experts involved in interdisciplinary collaboration to reach a justifiable and coherent form of interdisciplinary integration. An Appendix of “Prompts or Questions for Metacognition” that can elicit metacognitive knowledge, monitoring, or regulation in individuals or teams is included at the end of the article. (shrink)

Lung cancer is a serious and deadly disease that affects the lungs, which are responsible for taking in oxygen and expelling carbon dioxide from the body. The disease can develop in any part of the lungs and is usually caused by smoking or exposure to certain chemicals. The main Objective: of this expert system is to provide an accurate diagnosis of lung cancer and the appropriate treatment options. In this paper, Methods: we present the design and implementation of an (...) expert system that can assist physicians in diagnosing lung cancer and determining the best course of treatment. The system provides an overview of the disease, its causes, symptoms, diagnosis, and treatment, along with relevant medical information. Results: The system was developed using the Clips expert system language and evaluated by medical professionals who found it to be an effective tool for diagnosing and treating lung cancer. Conclusion: The proposed expert system has the potential to improve patient outcomes and reduce healthcare costs associated with the treatment of lung cancer. (shrink)

It has often been noted that Socratic cross-examination is problematic as a method of inquiry, i.e., as a method for 'acquiring' knowledge. Rarely has it been noticed that there are problems with cross-examination when used for the purposes of 'testing' for knowledge. In the 'Charmides', Socrates commits himself to the following principle: In order to discriminate between the person who knows and the person who does not know the subject matter covered by a particular discipline (technê), one must (...) have mastered that discipline. But if Socrates' disavowals of moral knowledge are sincere, it would seem to follow from this principle that, contrary to what Socrates says in many early dialogues, he cannot successfully test claims to moral expertise through cross-examination. Through an examination of the conditions that Socrates places on knowledge and on mastering a 'technê', I show how this problem can be resolved. (shrink)

During the Covid-19 pandemic, a significant number of people has seemingly been lured in believing conspiracy theories. Many deliberately disregarded expert advices by virologists and physicians to reduce new infections. This turning away from traditional expert authorities exemplifies the »crisis of expertise« that has been discussed in the philosophy of science for some time, namely that many people seem to have lost their trust in the established authority of expert knowledge and are looking for epistemic alternatives, (...) especially on the Internet and in particular on social media. In this article, this digital cultural trend will be analysed. Will people actually becoming more epistemically autonomous as a result of this new tend? Attention is drawn to the epistemic and moral vulnerability of people who opt for new media as epistemic alternatives instead of relying on traditional expert opinion. It will be shown that some important presuppositions about the Internet and, especially, social media tools as alternative ways to gathering information and find moral support in a group of likeminded people do not hold. (shrink)