In this paper the difficulties arising out of a necessary examination of expert systems as to the ‘correctness’ of functioning are outlined. The argumentation is based on the problematic use of the knowledge term in expert system development and the design perspectives connected with the cognitivistic knowledge concept. It becomes obvious that fundamental problems in system development will involve negative consequences for utilization. The perspective developed from this analysis is assuming that these problems have to (...) be taken into account in development and have to be elucidated for utilization. (shrink)

On the example of the online game Akinator, the basic principles on which programs of this type are built are considered. Effective technics have been proposed by which artificial intelligence systems can build logical inferences that allow to identify an unknown subject from its description. To confirm the considered hypotheses, the terminological analysis of definition of the program "Akinator" offered by the author is carried out. Starting from the assumptions given by the author's definition, the article complements their definitions (...) presented by other researchers and analyzes their constituent theses. Finally, some proposals are made for the next steps in improving the program. The Akinator program, at one time, became one of the most famous online games using artificial intelligence. And although this was not directly stated, it was clear to the experts in the field of artificial intelligence that the program uses the techniques of expert systems and is built on inference rules. At the moment, expert systems have lost their positions in comparison with the direction of neural networks in the field of artificial intelligence, however, in the case considered in the article, we are talking about techniques using both directions – hybrid systems. Games for filling semantics interact with the user, expanding their semantic base and use certain strategies to achieve the best result. The playful form of such semantics filling programs is beneficial for researchers by involving a large number of players. The article examines the techniques used by the Akinator program, and also suggests possible modifications to it in the future. This study, first of all, focuses on how the knowledge base of the Akinator program is built, it consists of incomplete sets, which can be filled and adjusted as a result of further iterations of the program launches. It is important to note our assumption that the order of questions used by the program during the game plays a key role, because it determines its strategy. It was identified that the program is guided by the principles of nonmonotonic logic – the assumptions constructed by the program are not final and can be rejected by it during the game. The three main approaches to acquisite semantics proposed by Jakub Šimko and Mária Bieliková are considered, namely, expert work, crowdsourcing and machine learning. Paying attention to machine learning, the Akinator program using machine learning to build an effective strategy in the game presents a class of hybrid systems that combine the principles of two main areas in artificial intelligence programs – expert systems and neural networks. (shrink)

Knowledge engineering is the term given to the process of developing expert systems and knowledge engineers are the people who acquire the requisite knowledge from experts and structure that knowledge into a useable computer program. As knowledge engineering becomes a more accepted technology, there is increasing concern about attendant social costs, such as job displacement or possible exploitation of experts. This paper reports on our efforts to explore this latter issue by scrutinizing how (...) knowledge engineers think about the domain expert and the role that person plays in system development. To accomplish this aim, we asked several samples of novice engineers to write story completions to a preamble that describes a knowledge engineer encountering a reluctant expert who may be fearing job loss if the system is implemented. The resulting accounts were content-analysed for insights as to how novice system builders think about experts. The results indicate that experts are conceived more as a tool to be used rather than a person to be respected. (shrink)

Disciplinary boundaries become increasingly unclear when grappling with “wicked problems,” which present a complex set of policy, cultural, technological, and scientific dimensions. “T-shaped” professionals, i.e. individuals with a depth and breadth of expertise, are being called upon to play a critical role in complex problem-solving. This paper unpacks the notion of the “T-shaped expert” and seeks to situate it within the broader academic literature on expertise, integration, and developmental learning. A component of this project includes an exploratory study, which (...) is aimed at evaluating the emergent attributes of T-shaped expertise in two different educational programs completed between January and May in 2015. The two programs build disciplinary knowledge in science, technology engineering, and mathematics fields at the core, while expanding the students’ awareness and comprehension of other expertise. The courses introduced science and engineering students to case study topics focusing around complex human-technological-ecological systems in a nanotechnology and society course; and the governance of genetically modified organisms in a science, technology, and society course. We analyze pre- and post-test data from this pilot project before presenting findings that pertain to student learning, as well as variants in the methodology and reflect on the utility of the selected methodology for evaluating expertise as it evolves over time. The paper closes with a discussion of a theory of acquisition with implications for delineating early attributes and characteristics of T-shaped expertise. (shrink)

This five volume collection brings together a carefully selected array of contributions from a variety of disciplines. Featuring essays from philosophers who have investigated the foundations of knowledge, and addressing different forms of knowledge in society such as common sense and practical knowledge, this collection also discusses the role of knowledge in economic process and gives attention to the role of expert knowledge in political decision making. Including a collection of articles from the sociology (...) of knowledge and science, the set also provides a new introduction and full index by the editors, making it a unique and invaluable research resource for both student and scholar. Coverage includes: 1. Foundations of Knowledge - Knowledge, Experience and Mind - Knowledge and Reality - Knowledge and Skepticism - Knowledge and Ignorance - Knowledge and Uncertainty 2: Knowledge and Society: Forms of Knowledge - Everyday Knowledge - Practical knowledge - Tacit knowledge - Secret Knowledge - Scientific Knowledge - Hermeneutics - Knowledge Construction - Indigenous (traditional) knowledge 3: Knowledge and the Economy - The Economics of Knowledge - Knowledge and Organisations - Knowledge Acquisition - Knowledge Based Systems (firms) - Knowledge Management - Knowledge and Information - Knowledge and Law 4: Politics and Knowledge - Science and Policy-Making - The Power of Ideas and Discourse - The Politics of Knowledge 5: Sociology of Knowledge and Science - Classical Perspectives - Modern Views - Science Studies. (shrink)

Knowledge elicitation is one of the more problematic phases of knowledge based systems development. Two specific problems that have received inadequate attention in the literature are the process of expert selection and the use of a broader, socially and politically informed, frame of reference for knowledge elicitation. This paper builds on the few attempts to consider these problems. It contributes to a novel interpretation of the broader knowledge acquisition context using the powerful notion (...) of stakeholders. More specifically, it proposes the application of an interpretive stakeholder analysis approach previously developed in information systems research. It is argued that the identification of knowledge based systems’ and knowledge elicitation stakeholders and the investigation of their viewpoints not only enriches the knowledge elicitation process, it also contributes to a broader understanding of knowledge based systems development. (shrink)

To understand the role of expert systems as a medium for transferring knowledge and skills within organisations requires an understanding of the nature of expertise within working life contexts. Central to this issue of transfer is the debate on the nature of tacit/implicit knowledge and the problem of formalising it in explicit form. This paper considers the British approach to the development of knowledge-based systems, which is regarded as being predominantly rationalistic, and compares it (...) with the Scandinavian approach, which is regarded as being predominantly humanistic. The paper proposes that crucial to the debate on the transfer of knowledge and skills is the development of expert systems as communications media which aims at enhancing and sharing the knowledge and skills of users. A human-centred approach for the future is proposed which brings the above two traditions together thereby providing a developmental framework for knowledge based systems. (shrink)

This paper describes the processes of cognitive modeling and representation of human expertise for developing an ontology and knowledge base of an expert system. An ontology is an organization and classification of knowledge. Ontological engineering in artificial intelligence (AI) has the practical goal of constructing frameworks for knowledge that allow computational systems to tackle knowledge-intensive problems and supports knowledge sharing and reuse. Ontological engineering is also a process that facilitates construction of the (...) class='Hi'>knowledge base of an intelligent system, which can be defined as a computer program that can duplicate problem-solving capabilities of human experts in specific areas. This paper presents the processes of knowledge acquisition, analysis, and representation, which laid the basis for ontology construction. In this case, the processes are applied in ontological engineering for construction of an expert system in the domain of monitoring of a petroleum production and separation facility. The acquired knowledge was also formally represented in two knowledge acquisition tools. (shrink)

This paper describes the processes of cognitive modeling and representation of human expertise for developing an ontology and knowledge base of an expert system. An ontology is an organization and classification of knowledge. Ontological engineering in artificial intelligence has the practical goal of constructing frameworks for knowledge that allow computational systems to tackle knowledge-intensive problems and supports knowledge sharing and reuse. Ontological engineering is also a process that facilitates construction of the knowledge (...) base of an intelligent system, which can be defined as a computer program that can duplicate problem-solving capabilities of human experts in specific areas. This paper presents the processes of knowledge acquisition, analysis, and representation, which laid the basis for ontology construction. In this case, the processes are applied in ontological engineering for construction of an expert system in the domain of monitoring of a petroleum production and separation facility. The acquired knowledge was also formally represented in two knowledge acquisition tools. (shrink)

PurposeTo use the power of knowledge acquisition and machine learning in the development of a collaborative computer classification system based on the features of age-related macular degeneration (AMD).MethodsA vocabulary was acquired from four AMD experts who examined 100 ophthalmoscopic images. The vocabulary was analyzed, hierarchically structured, and incorporated into a collaborative computer classification system called IDOCS. Using this system, three of the experts examined images from a second set of digital images compiled from more than 1000 patients with (...) AMD. Images were annotated, and features were identified and defined. Decision trees, a machine learning method, were trained on the data collected and used to extract patterns. Interrelationships between the data from the different clinicians were investigated.ResultsSix drusen classes in the structured vocabulary were largely sufficient to describe all the identified features. The decision trees classified the data with 76.86% to 88.5% accuracy and distilled patterns in the form of hierarchical trees composed of 5 to 15 nodes. Experts were largely consistent in their characterization of soft, and to a lesser extent, hard drusen, but diverge in definition of other drusen. Size and crystalline morphology were the main determinants of drusen type across all experts.ConclusionsMachine learning is a powerful tool for the characterization of disease phenotypes. The creation of a defined feature set for AMD will facilitate the development of an IDOCS-based classification system. (shrink)

The standards for translating texts in specialized fields have become particularly rigorous with the increasing complexity of material and growing demand for its translation. While translations simply aimed at communication and produced by machine translation are proliferating, the need for reliable and high-quality translations is also increasing. The demand for expert-dependable legal translation is higher than ever, requiring competence-based training in the field of legal translation. This paper describes a guided-task framework for developing subject area competence at the earliest (...) stage of an English–Arabic legal translation course. It presents the three most problematic phases of concept processing in legal translation in terms of: legal systems; branches of law; and genre-based phraseology. The approach presented below is part of a more general study that aims to describe the first course in a series of three graduate courses on legal translation, each of them motivated by a guided-task framework that has the aim of developing three specific competences in legal translation: legal concept processing => subject area competence; documentary research => instrumental competence; and legal rhetorics => communicative and textual competence. In this paper we intend to focus on the first course of legal concept processing as a key prerequisite for legal knowledge development. We illustrate the relevance of addressing specific variables when analysing legal concepts in the text that is to be translated, before proceeding to the information search and communication, according to established formulae and conventions. (shrink)

This article is concerned with the history and current state of research activities into medical expert systems (MES) in Japan. A brief review of expert systems' work over the last ten years is provided and here is a discussion on future directions of artificial intelligence (AI) applications in medicine, which we expect the Japanese AI community in medicine (AIM) to undertake.

Based on the standpoint close to that of philosophical functionalism, the paper addresses the history and present state of scientific research on artificial reconstruction of some of the rational thinking functions, and acquisition of valid knowledge of phenomenally given actuality, by way of engineering artificial intelligent automata. Thereby, the author examines the settings of emergence of an attendant basic ontology, and the place of logic in the process of knowing, by intelligent automata and humans, accordingly. Analysis and collations (...) are made by proceeding from the phenomenalistic logic and ontology presupposition in the theory of experience and knowing, as previously detailed by the author. Under this presupposition, the actual is considered temporally ordered facts with attached significance used to order them logically, in reciprocally defining them logical relations as a result of phenomenal statements on their identification and re-identification as such. The paper offers an overview of primary logical and ontological foundations for operation of intelligent automata classed as “expert systems” in their collation with a correspondent model of functionally determined meaningful activity of humans, while making the case for the observation on a sufficient functional parallelism between them, against the background of their noted specifics. By moving on to engineering intelligent automata classed as “machine learning systems” grounded on “connectionism”, prospects for overcoming the deficit of reflexive plasticity in “artificial intelligence”, and the effect of fundamental convergence between the human functional intelligence and an “artificial” intelligence, are clarified. Admitting a demonstrated functional success of such intelligent automata in the functional context, along with their logic being affined to that of humans, the notion of intelligence incurs significant de-humanization. Manuscript received 14.02.2020. (shrink)

Although technology is often viewed as value-free, an anthropological perspective suggests that technological tools embody values and assumptions of their builders. Drawing upon extended field research, this article investigates the construction of work in the expert systems community of artificial intelligence. Describing systematic deletions in practitioners' representations of their own work, the article relates these to both the selectivity of conventional knowledge acquisition procedures and the tendency of expert systems to "fall off the (...) class='Hi'>knowledge cliff." Although system builders see the latter problem as purely technical, this article suggests that it is also the result of nontechnical factors, including the system builders' own tacit assump tions. This article supports the view that technology has a cultural dimension. (shrink)

This book is written in homage to Nicola Guarino. It is a tribute to his many scientific contributions to the new discipline, applied ontology, he struggled to establish. Nicola Guarino is widely recognized as one of the pioneers in formal and applied ontology. Renow – and sometimes even criticized – for his deep interest for the subtlest details of theoretical analysis, all throughout his career he has held the conviction that all science has to be for the benefit of society (...) at large, hence his motto that ontologies are not just for making information systems interoperable, but also – and more importantly – for making people (users of the systems) understand each other. He was among the first to realize that, to capture the intended meaning of the terms used by an information system, applied ontology has necessarily to be an interdisciplinary enterprise. Nicola’s early career developed in the areas of data systems and expert systems in physics and biomedical engineering. The lack of methodologies in expert systems led him to turn to philosophical logic as a source of inspiration, prompting him to attend the meetings of the analytic philosophy group at the University of Padua, and to discover a whole new world. It was the end of the 1980s and in that period the term ‘ontology’ started to be used to indicate a shared vocabulary across a community. Recognizing the potentials of this idea, Nicola began studying philosophical work. Knowing that language remains one of the pivotal elements in knowledge acquisition and representation, he paired it with the study of linguistic analysis. The combination of the two fields proved to be fundamental to shape his research vision, which could be summarized as: ontological analysis is hard, yet unavoidable to address the pervasive need for explicit, meaningful and transparent information systems. In other words, ontology makes sense. (shrink)

Artificial Intelligence, and the cognitivist view of mind on which it is based, represent the last stage of the rationalist tradition in philosophy. This tradition begins when Socrates assumes that intelligence is based on principles and when Plato adds the requirement that these principles must be strict rules, not based on taken-for-granted background understanding. This philosophical position, refined by Hobbes, Descartes and Leibniz, is finally converted into a research program by Herbert Simon and Allen Newell. That research program is now (...) in trouble, so we must return to its source and question Socrates' assumption that intelligence consists in solving problems by following rules, and that one acquires the necessary rules by abstracting them from specific cases. A phenomenological description of skill acquisition suggests that the acquisition of expertise moves in just the opposite direction: from abstract rules to particular cases. This description of expertise accounts for the difficulties that have confronted AI for the last decade. (shrink)

The development of reasoning systems exploiting expert knowledge from interactions with humans is a non-trivial problem, particularly when considering how the information can be coded in the knowledge representation. For example, in human development, the acquisition of knowledge at one level requires the consolidation of knowledge from lower levels. How is the accumulated experience structured to allow the individual to apply knowledge to new situations, allowing reasoning and adaptation? We investigate how this (...) can be done automatically by an iCub that interacts with humans to acquire knowledge via demonstration. Once consolidated, this knowledge is used in further acquisitions of experience concerning preconditions and consequences of actions. Finally, this knowledge is translated into rules that allow reasoning and planning for novel problem solving, including a Tower of Hanoi scenario. We thus demonstrate proof of concept for an interaction system that uses knowledge acquired from human interactions to reason about new situations. (shrink)

Dear Readers,Welcome to this issue of our beloved Bangladesh Journal of Bioethics! In this sweltering heat we are all seeking for some cool and comfort. We bring this issue of BJB on different ethical practices and bring up related questions. Are we respecting the rights of every human being when we are either doing research or practicing health service provision? What are the minimum norms and standards to be maintained or are we circumventing those? The issue looks into different issues (...) and provides us with indepth information, queries, fears and reservations.In the article on Knowledge, attitude and practice of medical ethics among medical intern students in a Medical College in Kathmandu, Ramesh P Aacharyaand Yagya L Shakya, report on a Knowledge Attitude and Practice survey of 46 medical undergraduate interns of Maharajgunj Medical Campus. The result of the survey is quite interesting. ‘Doctors know the best irrespective of patients’ opinion was agreed upon by 35 %, ‘Confidentiality cannot be kept in modern era and should be abandoned’ was strongly disagreed by 34.8% and disagreed by 60.9%. The Authors hope that the findings will assist the faculties to strengthen the teaching of medical ethics and guiding the interns for ethical professional conduct. In the article titled Organizational Justice and Employee’s Service Behavior in the Healthcare Organizations in Bangladesh is an agenda for Research, Md. Nuruzzaman and Md. Humayun Kabir Talukder present a conceptual framework and a set of hypotheses regarding the relationships among distributive justice, procedural justice, interactional justice, employee’s citizenship behaviour, role prescribed behaviour and counterproductive behavior in the healthcare organizations in Bangladesh. The authors state that the purpose is to assist the policy makers and service providers in identifying desirable and undesirable HRM practices in order to maintain optimum level of employee commitment for ensuring quality and efficient service delivery to the communities. Though the article is theoretical it may be useful for the policy makers and service providers. If an operational research could be carried out to test the hypothesis the practical utility of the concept could be tested in Bangladesh.Zoheb Rafique in the article Ethical Justification of Conducting Research Trials in Lower and Middle Income Countries Including Pakistan: The Responsibilities of Research Enterprises explores the ethical aspects of research sponsored by commercial agencies. He looks into the factors that influence selection of a study site for a sponsored trial particularly in traditional countries like Pakistan where cultural values add to the problem in assuring that research is conducted in an ethical manner. In this paper, the Author discusses the responsibilities of researchers and funders in low and middle income countries like Pakistan and the ethical justifications of doing research trials in developing countries. He concludes that research participants should be fully informed about the research trial and their participation and it is their right to know all risks and benefits so that they have the option of rejecting participation.The article on Ethical aspects of Dhaka University Tele-medicine System by Ahmed Raihan Abir provides and analysis of the tele- medicine system in Dhaka University. The Author is a member of an extended group at Dhaka University (DU) which has been developing telemedicine equipment and data acquisition software to promote telemedicine practice in Bangladesh. Recently the Telemedicine group of DU and a local NGO named SAMAMA with support from Service innovation fund (SIF) of the Prime Minister Office (PMO) of Bangladesh took the initiative to establish eight rural telemedicine centers and one expert center for the field trial of telemedicine in Bangladesh. The aim of this paper is to examine the ethical challenges of such health care system and the effort to overcome these problems before starting the field trial. The author looks into the details of Data confidentiality and security, Responsibilities of Doctor and Rural Technician, Quality of service and Implications of telemedicine in Bangladesh. He concludes that DU telemedicine project will essentially bring the services of qualified medical experts to the doorsteps of the common people throughout the country, even in the remote rural areas. Although a telemedicine cannot match a face to face consultation, DU tele-medicine system is much better than no consultation at all.Sifat Rahman in the article on Ethical Issues of Fair Subject Selection in Research provides an overview of the criterion for maintaining ethical standards for conducting research. The Author reviews the three fundamental conditions to be met for adhering to strict ethical standards which are: Respect for Persons by protecting the autonomy of people, treating them with courtesy and respect and obtaining informed consent.; Beneficence which incorporates the philosophy of "Do no harm" while maximizing benefits for the research project and minimizing risks to the research subjects; and Justice by ensuring that reasonable, non-exploitative, and well-considered procedures are administered fairly. Finally the Author concludes that Researchers must be truthful and conduct no deception.Dear Readers, as you can see from the above ethics and maintaining the values in research and services are of utmost importance in the improvement of the quality of life. Through our queries, questions and sense of respect for every living being can our endeavors to ensure ethics in all spheres of development be successful.Dear Readers, please keep on sending your articles, notes or thoughts to us. Your participation will make a difference in the quality of our lives.Best regardsTahera AhmedEditor. (shrink)

We introduce an innovative technique that quantifies human expertise development in such a way that humans and artificial systems can be directly compared. Using this technique we are able to highlight certain fundamental difficulties associated with the learning of a complex task that humans are still exceptionally better at than their computer counterparts. We demonstrate that expertise goes through significant developmental transitions that have previously been predicted but never explicated. The first signals the onset of a steady increase in (...) global awareness that begins surprisingly late in expertise acquisition. The second transition, reached by only a very few experts in the world, shows a major reorganisation of global contextual knowledge resulting in a relatively minor gain in skill. We are able to show that these empirical findings have consequences for our understanding of the way in which expertise acquisition may be modelled by learning in artificial intelligence systems. This point is emphasised with a novel theoretical result showing explicitly how our findings imply a non-trivial hurdle for learning for suitably complex tasks. (shrink)

The concept of school inclusion applied to disabled children knows an international distribution and is more or less used in national contexts, but with wide variations in interpretation. The concept of disability tends to be supplanted by other terms such as «special needs». These notional transformations are at the heart of the tensions that exist within the education system and also perform in their relations with various external partners, including experts of disability and parents. The major issues are those of (...) the educational finalities of the institutions and practices for these children: separate or common socialization, people development or acquisition of knowledge, perspectives of skilled labor or not etc. Among the possible approaches to the current problem, the first step is the analysis of the regulatory and institutional legislative, established in France for so-called «disabled» children. The second step is favored by the approach of ethnographic field which has the advantage of showing the representations and practices of actors in everyday life. The example developed is that of an elementary school in the city of Paris, which seeks to meet the challenge of hosting the difference while maintaining the goal of «academic excellence.» In this tension, how are teachers, specialists, parents, children with disabilities among their peers? What finally are the evolutions outlook? (shrink)

This study aimed to explore practices and strategies that have successfully reduced time-to-proficiency of the workforce in large multinational organisations and develop a model based on them. The central research question of this study was: How can organisations accelerate time-to-proficiency of employees in the workplace? The study addressed three aspects: the meaning of accelerated proficiency, as seen by business leaders; the business factors driving the need for shorter time-to-proficiency and benefits accrued from it; and practices and strategies to shorten time-to-proficiency (...) of the workforce. 85 participants (n=85) from 7 countries who represented 10 economic sectors, 20 business sectors and 28 industry groups contributed 66 successful bounded project cases. A qualitative research approach was used. Data were collected through in-depth interviews with project leaders and by collecting additional project case documents. Data were analysed using thematic analysis to identify the themes in the data. Matrix analysis was then used to perform within-case and cross-case analysis to compare the project cases. 11 overarching themes were developed from the data analysis, out of which two overarching themes explained the characteristics of job-role proficiency and accelerated proficiency, while three overarching themes described the magnituide and scale of time-to-proficiency business problem, business drivers for accelerating proficiency and business benefits of reduced time-to-proficiency. Six overarching themes revealed the business practices employed by organisations to reduce time-to-proficiency: (1) Defining business-driven proficiency measures in terms of expected business outcomes from a job role; (2) Developing a proficiency reference map of all the inputs, conditions and roadblocks that determine or influence how required business outcomes are being produced in a job role; (3) Sequencing an efficient proficiency path of activities and experiences ordered to produce the desired business outcomes in the shortest possible time; (4) Manufacturing accelerated contextual experiences by leveraging on-the-job opportunities or training interventions in a compressed time-frame; (5) Promoting an active emotional immersion through engagements, consequences, stakes, feedback and proficiency assessments; and (6) Setting up a proficiency eco-system, providing timely support to performers while doing the job such as enabling job environment, highly involved manager, structured mentoring from experts, purposeful social connectivity with peers, leveraging subject matter experts and on-demand performance support systems. Organisations orchestrated these six business practices as an input-output-feedback system to reduce time-to-proficiency of the workforce. A conceptual model (Accelerated Proficiency Model) was developed representing interactions among six business-level practices/processes as a closed-loop system to explain the concept and process of accelerated proficiency in the workplace. These practices were implemented through a set of twenty-four strategies proven successful in various contexts. The strategies employed were much beyond the boundaries of conventional training interventions. The job itself acted as the primary mechanism to accelerate proficiency. A two-level hierarchical framework (6/24 framework of strategies) was also constructed in the form of a checklist consisting of six practices and twenty-four strategies for practitioners. Overall, the findings of this research study contribute significantly to the body of knowledge on accelerated proficiency. In particular, the conceptual model and the framework developed in this study can be implemented across a range of contexts, business sectors, job types and settings to reduce time-to-proficiency of the workforce. (shrink)