The research aims to identify the learning organizations and their role in achieving organizational excellence in the Palestinian universities in Gaza Strip. The researchers used descriptive analytical approach and used the questionnaire as a tool for information gathering. The questionnaires were distributed to senior management in the Palestinian universities. The study population reached (344) employees in senior management is dispersed over (3) Palestinian universities. A stratified random sample of (182) workers from the Palestinian universities was selected and the (...) recovery rate was (69.2%). Statistical analysis (SPSS) program was used for analysis and processing the data. The research found the following results: there is a fair degree of approval on "cognitive dimension", there is a high approval about the importance of "organizational dimension", there is moderately consent of the importance of "Community dimension", there is a large degree of consent about the importance of axis of the "leadership excellence", there is a large degree of consent about the importance of axis of the "service-excellence", there is a fair degree approval about the importance of the axis of "cognitive excellence", and there is a moderately consent of the importance of "Organizational Excellence". The research found a group of recommendations including: the need to develop appropriate strategies for the University, employ modern technology in information systems, in addition to provide appropriate environment that achieve learning organizations, develop technological infrastructure, adopt universities for knowledge management in the academic and administrative departments because knowledge is the core of the work of these departments, create technological incubators in universities to adopt excellence academic research projects, and protected them, support them, and market them. Establishing of centers of excellence for scientific research in the university.The need for cooperation and coordination between local, Arab and international universities for the exchange of knowledge, information, and participation programs and training courses, as it provides an opportunity to develop the capabilities and skills of personnel and expertise. (shrink)

The research aims to identify the trends of Palestinian higher educational institutions in Gaza Strip as learning organizations from the perspective of senior management in the Palestinian universities in Gaza Strip. The researchers used descriptive analytical approach and used the questionnaire as a tool for information gathering. The questionnaires were distributed to senior management in the Palestinian universities. The study population reached (344) employees in senior management is dispersed over (3) Palestinian universities. A stratified random sample of (182) (...) employees from the Palestinian universities was selected and the recovery rate was (69.2%). Statistical analysis (SPSS) program was used for analysis and processing the data. The study found the following results: There is an agreement about: the importance of the focus of "organizational structure" with an average approval, the importance of "technological infrastructure" axis with high approval, and the importance of "strategic" with an average approval. The results concluded that the study sample agree on the importance of "organizational dimension" highly. The results showed that the sample believe that the "strategic leadership" level in the universities got medium-approval. There is a fair level agreement about the axis of interest "teams / committees". There is an agreement about the importance of the "human dimension" moderately. The results showed that the sample is highly agreed about the importance of focus of the "knowledge management", and the focus of the "continuing education". They agreed weakly to somewhat about the importance of the focus of "scientific research", moderately agree about the importance of the center of "institutional culture", agree moderately on the importance of "cognitive dimension". The results showed that the sample largely agree on the importance of the focus of "strategic partnerships and alliances". They agree highly on the axis "keep up with the labor market" and on the focus of the importance of "technology incubators". The results showed that the sample moderately agree about the importance of the theme on "consulting and training", the importance of the focus of "social responsibility", and the focus of the "Community dimension". The study found a group of recommendations including: there is a need to provide suitable environment that achieve learning organizations. There is a need to develop the technological infrastructure (hardware, software, networks, databases, and human skills) because of the great advantages that they offer. The universities need to adopt knowledge management in the academic and administrative departments because knowledge is the core of the work of these departments. The establishment of technology incubators in universities to adopt outstanding university research projects, to protect, to supports, and to market them; furthermore, to develop the capabilities and skills of employees in the field of information technology. (shrink)

Organisms that share the capability of storing information about experiences in the past have an actively generated background resource on which they can compare and evaluate more recent experiences in order to quickly or even better react than in previous situations. This is an essential competence for all reaction and adaptation purposes of living organisms. Such memory/learning skills can be found from akaryotes up to unicellular eukaryotes, fungi, animals and plants, although until recently, it had been mentioned only as (...) a capability of higher animals. With the rise of epigenetics, the context-dependent marking of experiences at both the phenotype and the genotype level is an essential perspective to understand memory and learning in all organisms. Both memory and learning depend on a variety of successful communication processes within the whole organism. (shrink)

The research aims to design a proposed model of learning organizations as an entry point to achieve organizational excellence in the Palestinian universities of Gaza Strip. A random sample of workers were selected from the Palestinian universities consist of (286) employees at recovery rate of (70.3%). The study concluded with a set of results the most important of which: there is a statistically significant relationship between the components of learning organizations and achieving organizational excellence in the (...) Palestinian universities of Gaza Strip from the standpoint of the faculty members. One of the main recommendations of the study: establish the concept of learning organization in leaders and staff of the university through the establishment of specialized courses, and workshops. Turning the status of the university into a learning organization as a strategic objective and the performance of managers are measurement accordingly. Organize visits of the leaders of the university a to the top organizations in this field and to take advantage of their experience and encourage deans and heads of departments to involve their employees in the information on global trends and trends in learning organization through regular meetings. (shrink)

Traditionally, learning organizations face certain constraints related to both exogenous and endogenous factors. This paper models three well-established constraints that employees face while being part of their organizations. One is an explicit constraint on their natural behavior, and two implicit constraints on their endeavor to acquire new knowledge and perform new actions. The implicit constraints, which are elaborated, are related to their relative performance in acquiring new knowledge and by their consecutive actions based on the new knowledge (...) gained. Therefore, this paper attempts to underline such limitations which the agents face under organizational culture and suggest possible strategic initiatives that would effectively counteract such binding limitations to stimulate positive performances from their end. (shrink)

The emerging contemporary natural philosophy provides a common ground for the integrative view of the natural, the artificial, and the human-social knowledge and practices. Learning process is central for acquiring, maintaining, and managing knowledge, both theoretical and practical. This paper explores the relationships between the present advances in understanding of learning in the sciences of the artificial, natural sciences, and philosophy. The question is, what at this stage of the development the inspiration from nature, specifically its computational models (...) such as info-computation through morphological computing, can contribute to machine learning and artificial intelligence, and how much on the other hand models and experiments in machine learning and robotics can motivate, justify, and inform research in computational cognitive science, neurosciences, and computing nature. We propose that one contribution can be understanding of the mechanisms of ‘learning to learn’, as a step towards deep learning with symbolic layer of computation/information processing in a framework linking connectionism with symbolism. As all natural systems possessing intelligence are cognitive systems, we describe the evolutionary arguments for the necessity of learning to learn for a system to reach humanlevel intelligence through evolution and development. The paper thus presents a contribution to the epistemology of the contemporary philosophy of nature. (shrink)

The Russian people are struggling to learn how to create a democracy and a market economy. This paper reviews the results of reform efforts to date and what the Russian people are learning as indicated by changes in answers to public opinion surveys. As a way to continue the social learning process in Russia we suggest the widespread use of process improvement methods in organizations. This paper describes some Russian experiences in using process improvement methods and proposes (...) a strategy for spreading the use of these methods through universities and then through businesses and government agencies. As people use process improvement methods, they gain confidence in their ability to improve the functioning of organizations and society. (shrink)

Learning and Development (L&D) is an organizational process which helps in the development of knowledge and achievement of individual and organizational goals. This is quantitative research employed a descriptive method to determine the impact of Learning and Development Programs on the Core Competencies of Level II employees of the Pasay City Government. The respondents of this study were the two hundred forty-two (242) randomly selected PCG Level II employees of the City Government of Pasay. This research used a (...) survey technique in terms of identifying the impact of L&D programs on the level II employees’ core competencies. The study found out that the participants perceived as competent and advanced level, which means that they are knowledgeable, can perform the actions associated with this skill without assistance from others, and can mentor/coach others in terms of applying the core competencies to perform official functions in reaching operational targets. The result shows that r value is 0.480; and 0.484, respectively, which indicates that there is a positive correlation between variables. Moreover, the P value is less than the significance level of 0.05, thus, it rejects the null hypothesis and support the notion that a relationship exists between the extent of implementation of L&D Programs and proficiency level of core competencies of Level II employees. It is recommended for organizations to evaluate the effectiveness and capability of their training programs to produce desired results relevant to the organizational goals and objectives. A proposed enhancement program may be considered for the inclusion in the implementation matrix of the HRD (L&D) Plan of the City Government for Level II employees. (shrink)

Recognizing that truth is socially constructed or that knowledge and power are related is hardly a novelty in the social sciences. In the twenty-first century, however, there appears to be a renewed concern regarding people’s relationship with the truth and the propensity for certain actors to undermine it. Organizations are highly implicated in this, given their central roles in knowledge management and production and their attempts to learn, although the entanglement of these epistemological issues with business ethics has not (...) been engaged as explicitly as it might be. Drawing on work from a virtue epistemology perspective, this paper outlines the idea of a set of epistemic vices permeating organizations, along with examples of unethical epistemic conduct by organizational actors. While existing organizational research has examined various epistemic virtues that make people and organizations effective and responsible epistemic agents, much less is known about the epistemic vices that make them ineffective and irresponsible ones. Accordingly, this paper introduces vice epistemology, a nascent but growing subfield of virtue epistemology which, to the best of our knowledge, has yet to be explicitly developed in terms of business ethics. The paper concludes by outlining a business ethics research agenda on epistemic vice, with implications for responding to epistemic vices and their illegitimacy in practice. (shrink)

The use of machine learning to medical image classification has seen significant development and implementation in the last several years. Computers can learn to identify patterns, make predictions, and use data to inform their judgements; this capability is known as machine learning, a branch of Artificial intelligence (AI). Classifying images according to their contents allows us to do things like identify the type of sickness, organ, or tissue depicted. Medical picture classification and interpretation using machine learning algorithms (...) has greatly improved the speed and accuracy of diagnosis and treatment. Machine learning algorithms can aid radiologists and doctors in diagnosing patients using medical pictures from X-rays, positron emission tomography (PET), computed tomography (CT), magnetic resonance imaging (MRI), and other scans. (shrink)

After a long search, Jonathan has finally found someone willing to donate a kidney to him and thereby free him from dialysis. Meredith is Jonathan's second cousin, and she considers herself a generous person, so although she barely knows Jonathan, she is willing to help. However, as Meredith learns more about the donation process, she begins to ask questions about Jonathan: “Is he HIV positive? I heard he got it using drugs. Has he been in jail? He's already had one (...) live donor, so what happened to the first kidney? Did he forget to take his drugs or something?” The transplant center must, then, decide if Meredith is, in fact, entitled to answers to these kinds of questions. According to the Consensus Statement on the Live Organ Donor, “It is incumbent on the transplant center to provide full and accurate disclosure to potential donors of all pertinent information regarding risk and benefit to the donor and recipient.” But whether answers to the Meredith's questions count as “pertinent information regarding the risk and benefit” is the issue at hand. (shrink)

This book assembles recent research on memory and learning in plants. Organisms that share a capability to store information about experiences in the past have an actively generated background resource on which they can compare and evaluate coming experiences in order to react faster or even better. This is an essential tool for all adaptation purposes. Such memory/learning skills can be found from bacteria up to fungi, animals and plants, although until recently it had been mentioned only as (...) capabilities of higher animals. With the rise of epigenetics the context dependent marking of experiences on the genetic level is an essential perspective to understand memory and learning in organisms. -/- Plants are highly sensitive organisms that actively compete for environmental resources. They assess their surroundings, estimate how much energy they need for particular goals, and then realize the optimum variant. They take measures to control certain environmental resources. They perceive themselves and can distinguish between ‘self’ and ‘non-self’. They process and evaluate information and then modify their behavior accordingly. -/- The book will guide scientists in further investigations on these skills of plant behavior and on how plants mediate signaling processes between themselves and the environment in memory and learning processes. (shrink)

This paper has two parts: In the first part, I give a general survey of the various reasons 17th and 18th century life scientists and metaphysicians endorsed the theory of pre-existence according to which God created all living beings at the creation of the universe, and no living beings are ever naturally generated anew. These reasons generally fall into three categories. The first category is theological. For example, many had the desire to account for how all humans are stained by (...) original sin (we were all there). As another example of a theological motivation, some take the organism as an obvious starting point for a teleological argument for God’s existence, and this staring point is sometimes developed into a full-blown theory of pre-existence. The second category could be thought of as non-theological metaphysical, and paramount here is the desire to deal with the metaphysical problem of individuation. So, for example, Leibniz embraces a version of hylomorphism in order to overcome difficulties with Descartes’ theory of material substance, including the difficulty of how to account for enduring material individuals, and Leibniz’s hylomorphism is closely linked with his embrace of pre-existence. The third category might be termed “biological”, and one example of such a concern is how to explain the organic unity of living beings where the whole seems to ontologically precede the parts. This is frequently translated into a temporal priority of whole to parts, and thus pre-existence is posited. Of course, many natural philosophers of the early modern period embrace pre-existence for more than one reason, but in general, these are the three classes of motivations one might have for embracing the theory. In the second part of the paper I examine in detail one argument that appears in the work of Malebranche. On the face of it, this argument seems to be a biological one, specifically the biological or organic holism argument mentioned above. But upon closer examination, I shall argue, Malebranche’s reasons for endorsing pre-existence bring together several of the arguments discussed in the first part of the paper. I conclude with some considerations about what we can learn about Malebranche as a natural philosopher from his motivations for holding the pre-existence doctrine of generation. (shrink)

Broadening access to both computational and educational resources is crit- ical to diffusing machine learning (ML) innovation. However, today, most ML resources and experts are siloed in a few countries and organizations. In this article, we describe our pedagogical approach to increasing access to applied ML through a massive open online course (MOOC) on Tiny Machine Learning (TinyML). We suggest that TinyML, applied ML on resource-constrained embedded devices, is an attractive means to widen access because TinyML leverages (...) low-cost and globally accessible hardware and encourages the development of complete, self-contained applications, from data collection to deployment. To this end, a collaboration between academia and industry produced a four part MOOC that provides application-oriented instruction on how to develop solutions using TinyML. The series is openly available on the edX MOOC platform, has no prerequisites beyond basic programming, and is designed for global learners from a variety of backgrounds. It introduces real-world applications, ML algorithms, data-set engineering, and the ethi- cal considerations of these technologies through hands-on programming and deployment of TinyML applications in both the cloud and on their own microcontrollers. To facili- tate continued learning, community building, and collaboration beyond the courses, we launched a standalone website, a forum, a chat, and an optional course-project com- petition. We also open-sourced the course materials, hoping they will inspire the next generation of ML practitioners and educators and further broaden access to cutting-edge ML technologies. (shrink)

Those who have considered the connection between Dewey’s theory of inquiry and Greek thought have mostly situated their remarks within larger points, regarding either teaching and learning (Garrison, 1997; Johnston, 2006b; Cahn, 2007) or aesthetics and craft (Alexander, 1987; Hickman, 1990). The fact that this area remains somewhat underexplored could be chalked up to several factors: 1) Dewey was often quite critical of the classical tradition, particularly when it came to theories of knowledge, 2) Dewey was not a trained (...) classicist, with little working knowledge of ancient Greek, and was self-admittedly not a historian of philosophy, and 3) whenever Dewey did turn positive attention toward ancient thought, he tended to speak in generalities, referring most often to “the Greeks” rather than any particular Greek thinker. In spite of this, there remain many compelling reasons to place Dewey’s views on inquiry in meaningful dialogue with the classical tradition. I will suggest that the most compelling of all is the link between Dewey’s view of inquiry and his particular brand of naturalism, which found its fullest expression late in his career. This is an underappreciated connection in Dewey’s work on inquiry, either taking a backseat to the instrumental, experimental themes in his thought or misinterpreted as a form of positivism/scientism. Once acknowledged, however, this connection could help bring Dewey’s normative, socio-political writings in line with his theories on ontology, logic, and the acquisition of knowledge. (shrink)

Understanding how biological organisms are autonomous—maintain themselves far from equilibrium through their own activities—requires understanding how they regulate those activities. In multicellular animals, such control can be exercised either via endocrine signaling through the vasculature or via neurons. In C. elegans this control is exercised by a well-delineated relatively small but distributed nervous system that relies on both chemical and electric transmission of signals. This system provides resources to integrate information from multiple sources as needed to maintain the organism. Especially (...) important for the exercise of neural control are neuromodulators, which we present as setting agendas for control through more traditional electrical signaling. To illustrate how the C. elegans nervous system integrates multiple sources of information in controlling activities important for autonomy, we focus on feeding behavior and responses to adverse conditions. We conclude by considering how a distributed nervous system without a centralized controller is nonetheless adequate for autonomy. (shrink)

This paper critically reviews and characterizes the student's causal-explanatory understanding; this is done as a step toward explicating the problematic of evolution education as it concerns the cognitive difficulties in understanding Darwin's theory of natural selection. The review concludes that the student's understanding is fundamentally different from Darwin's, for the student understands evolutionary change as necessary individual transformation caused by the transformative action of various physical and behavioral factors. This is in complete contrast to Darwin's (and even the Darwinian's, for (...) that matter) understanding of evolutionary change as a change caused by accumulative selection. Hence, to understand natural selection, the student has to learn to “see” how the accumulative selection causes evolutionary change. (shrink)

In today’s rapidly evolving business landscape, organizations must continuously adapt to stay competitive. AI-driven human resource (HR) analytics has emerged as a strategic tool to enhance workforce agility and inform decision-making processes. By leveraging advanced algorithms, machine learning models, and predictive analytics, HR departments can transform vast data sets into actionable insights, driving talent management, employee engagement, and overall organizational efficiency. AI’s ability to analyze patterns, forecast trends, and offer data-driven recommendations empowers HR professionals to make proactive decisions (...) in hiring, skill development, performance management, and retention. (shrink)

Abstract: This study aims to evaluate the utilization of ICT in education administration and management in a Pakistan context during the pandemic outbreak. Adoption of information and communication technologies (ICTs) has digitalized the learning process where education organizations were administrated by means of wireless-based instructions, electronic pedagogy, and online assessment in order to continue the educational activities while the government halted the physical appearance in education institutions. Data collection has been carried by three public universities in which teachers (...) and general administration of these institutions participated to discover their intention to use the assigned technology to administrate organizations’ policies in the way to disseminate the respective service delivery. Survey questionnaires were used, and 178 respondents’ feedback was secured to analyze the study that was carried out via SPSS version 24 and validation OF hypotheses measured by means of regressions and correlations. Moreover, proposed factors like intention to use, perceived ease of ease, perceived usefulness, social influence, and Users’ expectations were used. A theoretical approach was inculcated to encircle the UTAUT and TAM model to determine the adoption of the innovative system education management during the pandemic outbreak in the country. (shrink)

Biologists and philosophers of biology have argued that learning rules that do not lead organisms to play evolutionarily stable strategies (ESSes) in games will not be stable and thus not evolutionarily successful. This claim, however, stands at odds with the fact that learning generalization---a behavior that cannot lead to ESSes when modeled in games---is observed throughout the animal kingdom. In this paper, I use learning generalization to illustrate how previous analyses of the evolution of learning have (...) gone wrong. It has been widely argued that the function of learning generalization is to allow for swift learning about novel stimuli. I show that in evolutionary game theoretic models learning generalization, despite leading to suboptimal behavior, can indeed speed learning. I further observe that previous analyses of the evolution of learning ignored the short term success of learning rules. If one drops this assumption, I argue, it can be shown that learning generalization will be expected to evolve in these models. I also use this analysis to show how ESS methodology can be misleading, and to reject previous justifications about ESS play derived from analyses of learning. (shrink)

This paper addresses the foundational aspects of the theory of Gen inertia. We attempt to emphasize the cognitive factors that accounts for learning inertia in organizations, and that which prevents employees from generating and absorbing new knowledge. The novel concept of Gen inertia helps us to understand the causes behind inertia in learning among the knowledge workers under organizational settings. This concept of 'Gen inertia' is distinct from the pre-existing concept of organizational knowledge inertia. In this paper, (...) we attempt to identify and underline the factors that act as impediments to effective organizational learning processes. It deals with the existing causes that are responsible for knowledge (learning) inertia in knowledge organizations. We model several scenarios that presumably act as constraints, and therefore, they help us to uncover the existing barriers and obstacles to effective knowledge acquisition. The model assists us to build a system aimed to aid managers and trainers to recognize the underlying causes, which supposedly interferes with employees' learning curve, both in the short run and in the long run. Finally, the research aims to identify and overcome the nature of constraints that employees face while being part of a learning organization. Because it demands proficient handling of new knowledge, and because knowledge organizations subsist on the expertise of the knowledge workers, it is much relevant for the organizations to understand the existing problems that the knowledge workers face so as to enable them to compete with others in the market for knowledge resources. The present paper addresses all these issues and advocates several solutions to identify and then overcome the constraints and barriers to effective learning under organizational cluster settings. (shrink)

Despite the seemingly neutral vantage of using nature for widely-distributed computational purposes, neither post-biological nor post-humanist teleology simply concludes with the real "end of nature" as entailed in the loss of the specific ontological status embedded in the identifier "natural." As evinced by the ecological crises of the Anthropocene—of which the 2019 Brazil Amazon rainforest fires are only the most recent—our epoch has transfixed the “natural order" and imposed entropic artificial integration, producing living species that become “anoetic,” made to serve (...) as automated exosomatic residues, or digital flecks. I further develop Gilles Deleuze’s description of control societies to upturn Foucauldian biopower, replacing its spacio-temporal bounds with the exographic excesses in psycho-power; culling and further detailing Bernard Stiegler’s framework of transindividuation and hyper-control, I examine how becoming-subject is predictively facilitated within cognitive capitalism and what Alexander Galloway terms “deep digitality.” Despite the loss of material vestiges qua virtualization—which I seek to trace in an historical review of industrialization to postindustrialization—the drive-based and reticulated "internet of things" facilitates a closed loop from within the brain to the outside environment, such that the aperture of thought is mediated and compressed. The human brain, understood through its material constitution, is susceptible to total datafication’s laminated process of “becoming-mnemotechnical,” and, as neuroplasticity is now a valid description for deep-learning and neural nets, we are privy to the rebirth of the once-discounted metaphor of the “cybernetic brain.” Probing algorithmic governmentality while posing noetic dreaming as both technical and pharmacological, I seek to analyze how spirit is blithely confounded with machine-thinking’s gelatinous cognition, as prosthetic organ-adaptation becomes probabilistically molded, networked, and agentially inflected (rather than simply externalized). (shrink)

This chapter makes it clear that a significant element of both leadership and decision making is the development aspect. Leaders develop in their decision making by being confronted with difficult decision situations. However, they also develop through various forms of systemized training and education. Different leaders tend to develop in different directions. For this reason, one can identify a number of key leadership styles based on different ways of leading. These different styles are appropriate for various types of organization. Some (...) organizations require a strict and authoritative style, while others are in greater need of a more democratic style. Senior leaders often have the capacity to switch between different leadership styles depending on how the situation develops. In addition, there are a number of key decision-making roles that leaders are expected to manage. These include the role of entrepreneur, problem-solver, resource-allocator and negotiator. Leaders must also learn to work with clarity, conviction, courage, and communication in order to facilitate their decisions. Research shows that leaders who face severe adversity in their careers often are forced to make many difficult decisions. As a result they develop. Being forced to make difficult decisions actually leads to reflection, self-awareness and self-knowledge of one’s own values. Leaders also develop by communicating their problems in a structured way with more experienced colleagues. The fact that leaders develop by making difficult decisions leads to various forms of action having a central role. It is by putting decisions into action that leaders develop, as well as by reflecting on what alternative decisions could have been made. An action perspective on leadership decisions is closely linked to the concept of sense-making. This phenomenon implies observation, action, revision and communication in the aftermath of a decision. There is research indicating that reflection, critical thinking, intuition, ethics and communication are important dimensions of leaders and decision makers who are generally perceived as wise. -/- . (shrink)

Practice of knowledge management is often characterized by obstacles to creation, distribution, and transfer of knowledge from specific groups of settings. Obstacles or constraints to attempts to constitute knowledge as an organizational resource have been previously dealt within the context of organizational learning perspectives; however, there still remain barriers toward making learning available and all-pervasive throughout organizations. This is often as a result of two important factors: (i) bureaucratic and hierarchical forms of organization; and (ii) owing to (...) the situated and tacit character of knowledge. This paper is a result of theoretical exploration aimed at addressing these core issues, and proposes solutions to manage constraints and remove obstacles to knowledge management, as well as means to codify the tacit character of knowledge. The research offers a view that although it is reasonable to value knowledge in financial or economic terms, it is also important to consider the problems which make it difficult to extract and transfer knowledge within specific organizational settings. Addressing the issue of rising competitive pressure for innovation, this paper proposes several solutions to enable lateral flows of knowledge-sharing by overcoming the factors that affect acquisition of, and creation and distribution of knowledge across fluid social boundaries. (shrink)

Workforce education forms one of the core aspects of organizational learning which aims for performance as well as efficiency. Learning is goal-oriented in business organizations. Organizations' activities are highly-oriented towards customer satisfaction. Organizations learn from practice and delivery of services to meet consumer needs and necessities. Perfection, efficiency and smart practices define today's multinational organizational culture. But how do the multinational organizations achieve such perfections in their business operations? This paper addresses this issue by (...) linking teleological aspects of learning and practice to performance, adoption of routines, and learning-induced adaptation in order to explain how they achieve "perfection" in practice and operations. Further, the paper attempts to study a particular aspect of organizational (teleological perfectionism) process by modeling scenarios which define goal oriented organizational learning and adaptation, and underpins how such teleological processes effectively benefit organizations in the long run. Conclusions drawn up from an example being modeled in this paper suggest that teleology, or teleological dynamics play significant role in shaping today's organizations and help explain some (or high) degree of perfectionism in their operations. (shrink)

Can matter, things, nonhuman organisms, technologies, tools and machines, biota or institutions be seen as creative? How does such creativity reposition the visionary activities of humans? This article is an elaboration of such questions as well as an attempt at a partial response. It was written as an editorial for the special issue of the Digital Creativity journal that interrogates the conception of Post-Anthropocentric Creativity. However, the text below is a rather unconventional editorial. It does not attempt to provide an (...) overview of the issue’s theme but, instead, samples it via a particular example. The idea of the issue was to think about post-anthropocentricism by considering (1) agents, recipients and processes of creativity alongside with its (2) purpose, value, ethics and politics. This article addresses the first subtheme by puzzling at the paradoxes of “field learning” and picks at the second by considering the texture of “automated beauty”. Both of these parts use chess for an example. The narrative on chess is intermitted by a section “on creativity” that attempts to contextualize the case-based discussion in the wider context and to consider motivations and implications. (shrink)

The development of machine learning and deep learning (DL) in the field of AI (artificial intelligence) is the direct result of the advancement of nano-electronics. Machine learning is a function that provides the system with the capacity to learn from data without being programmed explicitly. It is basically a mathematical and probabilistic model. DL is part of machine learning methods based on artificial neural networks, simply called neural networks (NNs), as they are inspired by the biological (...) NNs that constitute organic brains. Despite its similarity to biological organs such as human brains, major problems arise in trying to attribute moral responsibility to autonomic systems based on hardware including nano-electronic devices, which are sought to replace humans (moral agents) in the context of AI. It is suggested that the required emotional environment which enables actions according to reasons in humans is not witnessed at AI devices. Though AI technology raises an enticing resemblance to human actions, this resemblance is to be considered with a skeptical eye. It is because actions are associated with reasons while causes are connected to operations. Human agents are capable of acting upon their reasons, while AI devices are limited only to operations as they are conditioned by their programming, which is considered as an embodiment of some causes. As moral responsibility goes hand in hand with the capacity to act (according to reasons), attributing moral responsibility to AI devices is revealed to be but a misleading metaphor. (shrink)

By embracing AI-driven HR analytics, organizations can anticipate market shifts, prepare their workforce for future challenges, and stay ahead of the competition. This study outlines the essential components of AI-driven HR analytics, demonstrates its impact on workforce agility, and concludes with potential future enhancements to further optimize HR functions. Key words: Predictive Workforce Analytics, Talent Optimization, Machine Learning in.

This interview continues Albert Efimov’s series of discussions with scholars about the current state of artificial intelligence, its applications across various fields and tasks, and the ethical and social implications of its development. In the conversation regarding humanity’s place in the modern world, A.G. Asmolov discussed the importance of maintaining diversity within complex systems and managing complexity during their analysis. The dialogue clarified the role of the «contrarian,» the future anthropologist’s work, and how metaphor will drive scientific progress in the (...) age of artificial intelligence. Additional topics addressed include: the significance of tricksters in the search for new ideas and meanings; the reasons we condemn ourselves to a lack of free time and its impact on cognitive abilities; the mismatch between organizational structures created by humans and the levels of tasks and technologies emerging today; the core concepts underlying «human-centric organizations»; whether the development of artificial intelligence will lead to information asymmetry, where everyone knows everything, and the primary risks when humans begin to learn from machines; why AI developers can be seen as a «community of Pygmalions,» and the dangers of «humanizing» machines. (shrink)

In recent decades, Information and Communication Technology (ICT) has been advanced and widely spread around the globe in addition to ICT revolution and technological advances are considered the major role in the evolution of modern age, which is called "Digital Transformation Age". Therefore, Electronic Technology (E-Technology) has become one of the most prominent approaches such as Electronic Learning (E-Learning), Electronic Training (E-Training), Mobile Learning (M-Learning), Virtual Lab (V-Lab), Virtual University, etc. E-Technology includes some features, for instance (...) anyone, anywhere, anytime and reducing of geographical barriers. ETechnology is a great trend and influences many fields and sectors such as Learning, Training, Military, Navy, Aviation, Medicine, and Digital space. According to nature of usage, E-Technology can be used in positive or negative trends. E-Technology is considered as a valuable tool in providing several opportunities for learning and training processes for individuals and organizations, especially in critical issues. Finally, we give a quick overview of neutrosophic data and some recent applications. (shrink)

This paper reflects on lessons learned from a validated model of international collaboration based on research and practice. During the European Year for Active Ageing, a partnership of seven organizations from the European Union plus Turkey implemented the Lifelong Learning Programme partnership “Connecting Generations‘ which involved universities, non-governmental organizations, third age Universities and municipalities in collaboration with local communities. Reckoning that Europe has dramatically changed in its demographic composition and is facing brand new challenges regarding intergenerational and (...) intercultural solidarity, each partner formulated and tested innovative and creative practices that could enhance better collaboration and mutual understanding between youth and senior citizens, toward a more inclusive Europe for all. Several innovative local practices have experimented, attentively systematized and peer-valuated among the partners. On the basis of a shared theoretical framework coherent with EU and Europe and Training 2020 Strategy, an action-research approach was adopted throughout the project in order to understand common features that have been replicated and scaled up since today. (shrink)

Trust has a great potential for furthering our understanding of organizational change and learning. This potential however remains largely untapped. It is argued that two reasons as for why this potential remains unrealized are: (i) A narrow conceptualization of change as implementation and (ii) an emphasis on direct and aggregated effects of individual trust to the exclusion of other effects. It is further suggested that our understanding of the effects of trust on organizational change, should benefit from including effects (...) of trust on the formulation stage. It should also benefit from exploring the structuring effects of trust in organizations. Throughout this chapter, ways to extend current research on trust in organizations are suggested. The chapter also provides examples of relevant contributions where available. In order to capture organizational effects of trust, it is suggested that trust should be studied over longer time intervals, and include several referents of trust, spanning both horizontal and vertical relationships in the organization. (shrink)

Since the second half of the XXth century, researchers in cybernetics and AI, neural nets and connectionism, Artificial Life and new robotics have endeavoured to build different machines that could simulate functions of living organisms, such as adaptation and development, problem solving and learning. In this book these research programs are discussed, particularly as regard the epistemological issues of the behaviour modelling. One of the main novelty of this book consists of the fact that certain projects involving the building (...) of simulative machine models before the advent of cybernetics are been investigated for the first time, on the basis of little known, and sometimes completely forgotten or unpublished, texts and figures. These pre-cybernetics projects can be considered as steps toward the “discovery” of a modelling methodology that has been fully developed by those more recent research programs, and that shares some of their central goals and key methodological proposals. -/- More info in Springer link: http://www.springer.com/new+%26+forthcoming+titles+%28default%29/book/978-1-4020-0606-7 -/- This book is the English translation of La scoperta dell'artificiale, Dunod/Masson, Milan, 1998. (shrink)

This chapter proposes the concept of the mindsponge and its underlying themes that explain why and how executives, managers, and corporations could replace waning values in their mindsets with those absorbed during their exposure to multicultural and global settings. It first provides a brief literature review on global mindset and cultural values, which suggests that not only can a mindset be improved, but that it is learning mechanism can also be developed. Then the chapter offers a conceptual framework, called (...) the 'mindsponge', which builds upon earlier works linking mindset to themes of multi-filtering. The process is proposed to help identify emerging values in the transition economy of Vietnam and also to reconfirm existing core values. The concept of mindsponge provides executives, managers, and organizations with not only a practical framework for improving their global mind-set by identifying and strengthening core values, but also capturing emerging opportunities. (shrink)

We review some of the main implications of the free-energy principle (FEP) for the study of the self-organization of living systems – and how the FEP can help us to understand (and model) biotic self-organization across the many temporal and spatial scales over which life exists. In order to maintain its integrity as a bounded system, any biological system - from single cells to complex organisms and societies - has to limit the disorder or dispersion (i.e., the long-run entropy) of (...) its constituent states. We review how this can be achieved by living systems that minimize their variational free energy. Variational free energy is an information theoretic construct, originally introduced into theoretical neuroscience and biology to explain perception, action, and learning. It has since been extended to explain the evolution, development, form, and function of entire organisms, providing a principled model of biotic self-organization and autopoiesis. It has provided insights into biological systems across spatiotemporal scales, ranging from microscales (e.g., sub- and multicellular dynamics), to intermediate scales (e.g., groups of interacting animals and culture), through to macroscale phenomena (the evolution of entire species). A crucial corollary of the FEP is that an organism just is (i.e., embodies or entails) an implicit model of its environment. As such, organisms come to embody causal relationships of their ecological niche, which, in turn, is influenced by their resulting behaviors. Crucially, free-energy minimization can be shown to be equivalent to the maximization of Bayesian model evidence. This allows us to cast natural selection in terms of Bayesian model selection, providing a robust theoretical account of how organisms come to match or accommodate the spatiotemporal complexity of their surrounding niche. In line with the theme of this volume; namely, biological complexity and self-organization, this chapter will examine a variational approach to self-organization across multiple dynamical scales. (shrink)

This Open Access book explains the philosophy, design principles, and community organization of Decidim and provides essential insights into how the platform works. Decidim is the world leading digital infrastructure for participatory democracy, built entirely and collaboratively as free software, and used by more than 500 institutions with over three million users worldwide. -/- The platform allows any organization (government, association, university, NGO, neighbourhood, or cooperative) to support multitudinous processes of participatory democracy. In a context dominated by corporate-owned digital platforms, (...) in the era of increasing social structuring via Artificial Intelligence, Decidim stands as a public or community owned platform for collective human intelligence. Yet, the project is much more than its technological features. Decidim is in itself a crossroad of the various dimensions of the networked society, a detailed practical map of its complexities and conflicts. Theauthors distinguish three general dimensions of the project: (1) the political - shedding light on the democratic model that Decidim promotes and its impact on public policies and organizations, (2) the technopolitical - explaining how this technology is democratically designed and managed to produce and protect certain political effects, and (3) the technical - presenting the conditions of production, operation, and success of the project. This book systematically covers those three levels in an academically sound, technologically consistent, and politically innovative manner. Serving as a useful resource and handbook for the use of Decidim, it will not only appeal to students and scholars interested in participatory and digital democracy but also to professionals, policy-makers, and a wider audience interested in learning more about the Decidim platform. (shrink)

The term ‘intelligence’ as used in this paper refers to items of knowledge collected for the sake of assessing and maintaining national security. The intelligence community (IC) of the United States (US) is a community of organizations that collaborate in collecting and processing intelligence for the US. The IC relies on human-machine-based analytic strategies that 1) access and integrate vast amounts of information from disparate sources, 2) continuously process this information, so that, 3) a maximally comprehensive understanding of world (...) actors and their behaviors can be developed and updated. Herein we describe an approach to utilizing outcomes-based learning (OBL) to support these efforts that is based on an ontology of the cognitive processes performed by intelligence analysts. Of particular importance to the Cognitive Process Ontology is the class Representation that is Warranted. Such a representation is descriptive in nature and deserving of trust in its veridicality. The latter is because a Representation that is Warranted is always produced by a process that was vetted (or successfully designed) to reliably produce veridical representations. As such, Representations that are Warranted are what in other contexts we might refer to as ‘items of knowledge’. (shrink)

Economies are complicated systems encompassing micro behaviors, interaction patterns, and global regularities. Whether partial or general in scope, studies of economic systems must consider how to handle difficult real-world aspects such as asymmetric information, imperfect competition, strategic interaction, collective learning, and the possibility of multiple equilibria. Recent advances in analytical and computational tools are permitting new approaches to the quantitative study of these aspects. One such approach is Agent-based Computational Economics (ACE), the computational study of economic processes modeled as (...) dynamic systems of interacting agents. This chapter explores the potential advantages and disadvantages of ACE for the study of economic systems. General points are concretely illustrated using an ACE model of a two-sector decentralized market economy. Six issues are highlighted: Constructive understanding of production, pricing, and trade processes; the essential primacy of survival; strategic rivalry and market power; behavioral uncertainty and learning; the role of conventions and organizations; and the complex interactions among structural attributes, institutional arrangements, and behavioral dispositions. (shrink)

The metamorphosis from larvae to adult butterflies has represented the “mystery” of life since the ancient Greeks. How could we explain the various steps of development from caterpillars to the most beautiful butterflies? A mystery preva lent in the twentieth century concerned the storage of the complete genetic informa tion of an organism in the DNA of its every cell. How and why do so many different cell types develop throughout the lives of organisms at the right time and place? (...) With the rise of epigenetics, the “fog” of mystery is starting to clear. We now know that the genetic storage medium in every living cell acquires an incredible plasticity through certain markings on the genetic text, linking the inheritable information with the contextuality of the real lifeworld of each organism. This means that the concrete living organism influences during development the various stages of gene expression, transcription, translation, immunity, and DNA repair actively and leads to various phenotypic outcomes without altering the DNA storage medium. More surprisingly, such variations of developmental phenotypes were found capable of successfully adapting to changing environmental circumstances. Better adapted organisms may lead to reprogramming in the epigenetic states which may reach an inheritable status for many generations or even become a fixed part of the genetic identity of the species. This is how evolution learns. (shrink)

In evolutionary biology, niche construction is sometimes described as a genuine evolutionary process whereby organisms, through their activities and regulatory mechanisms, modify their environment such as to steer their own evolutionary trajectory, and that of other species. There is ongoing debate, however, on the extent to which niche construction ought to be considered a bona fide evolutionary force, on a par with natural selection. Recent formulations of the variational free-energy principle as applied to the life sciences describe the properties of (...) living systems, and their selection in evolution, in terms of variational inference. We argue that niche construction can be described using a variational approach. We propose new arguments to support the niche construction perspective, and to extend the variational approach to niche construction to current perspectives in various scientific fields. (shrink)

When central authority fails in socially crucial tasks, mutual aid, solidarity, and grassroots organization frequently arise as people take up slack on the basis of informal networks and civil society organizations. We can learn something important about the possibility of horizontal organization by studying such experiments. In this paper we focus on the rationality, care, and effectiveness of grassroots measures to respond to the pandemic and show how they illustrate core elements of anarchist thought. We do not argue for (...) the correctness of any version of anarchist politics, nor claim that the bulk of this grassroots work was done with anarchist ideas explicitly in mind. Nonetheless, the current pandemic, like many social crises before it, serves as a sort experiment in political implementation. -/- Two things have been striking in the US response to the COVID-19 pandemic: the chaos, incompetence, irrationality, and often cruel misguidedness of the centralized government response; and the rationality, care, and effectiveness of grassroots measures in many parts of the country. In this paper we focus on the latter—especially the case of Washington, DC—to illustrate core features of anarchist politics. We do not argue for the correctness of any version of anarchist politics here, but merely illustrate guiding ideas that have been a part of anarchist theory and practice for well over a century. We also do not claim that the bulk of this grassroots work was done with anarchist ideas in mind, or explicitly out of a commitment to anarchist politics. Some was, and some arises out of related ideological commitments, but most simply functions out of no more than a desire to support one another. -/- The current pandemic, like many social crises before it, rather than providing a stand-alone argument or functioning as an implementation of any political theory, serves as a sort of laboratory experiment. When central authority fails in socially crucial tasks, mutual aid, solidarity, and grassroots organization frequently arise as people take up slack on the basis of informal networks and civil society organizations. We can learn something important about the possibility of horizontal organization by studying such experiments, including how it arises through spontaneous action. If political thought is best illustrated through its implementation in practice, the functioning of grassroots individuals and organizations in a time of crisis is one way to understand the political mechanisms core to anarchist thought. (shrink)

It may strike some as incongruous to discuss both new media and Heidegger in a single article. Heidegger died in 1976, so he can hardly be considered as having first-hand experience with so-called new media. He is best known for his endeavour of destructing traditional Western metaphysics, and for an organic extension of this destruction, his philosophy of technology. He explicitly touches upon two communications-oriented technological inventions: the radio and the typewriter. In both cases, his criticism is quite obvious. Despite (...) all this, some of his considerations make it worthwhile to further investigating his criticism. I will start with an overview of the longstanding critical attitude toward any new media, and I will attempt to define some key terms with regard to old and new media. Then I will outline the philosophical background of the Heideggerian criticism, and investigate the lessons we can learn from Heidegger. (shrink)

More philosophical effort is spent articulating evolutionary rationales for the development of belief-like capacities than for precursors of desires or preferences. Nobody, though, seriously expects naturally evolved minds to be disinterested epistemologists. We agree that world-representing states won’t pay their way without supporting capacities that prioritise from an organism’s available repertoire of activities in light of stored (and occurrent) information. Some concede that desire-like states would be one way of solving this problem. Taking preferences as my starting point instead of (...) belief-like states, I defend two conclusions. First, psychologically real preference states, which approximately token expected utilities, have a quite general evolutionary rationale. They are a solution to the problem of efficiently allocating capacities with incompatible uses. This argument is a version of the Environmental Complexity Thesis. Second, preferences can plausibly function and naturally evolve without belief-like states, even though the converse claim is incredible. Preferences, that is, can mediate between discriminations of occurrent states (‘internal’ or ‘external’) and the processes selecting activity without mediation by stored indicative representations. By tokening expected utilities of actions conditional on discriminated state, they can increase the rate at which the ‘right thing’ is done at appropriate times, and they can do this without the support of belief-like, world-representing states. Preferences, even incomplete and noisy sets of them, are a fuel for success that will tend to be favoured when environments are complex in ways that matter to an organism, and when the organisms have complex behavioural repertoires with heterogenous returns and costs. (shrink)

There is no doubt that Computer troubleshooting is important for organizations and companies and for personal use level. Sound cards troubles is one of the most annoying problems in computers. It causes damage and troubles in computers to persons, organizations and firms. Correctly, expert systems can greatly help to avoid damage to these computers. designed to diagnose and troubleshoot issues related to sound cards in computer systems. The expert system is developed using a combination of rule-based and machine (...) learning approaches, which allows for accurate and efficient diagnosis of a wide range of sound card problems. Objectives: An expert system has been established based on CLIPS to diagnose Computer Problems. (shrink)

In today’s rapidly evolving business landscape, organizations must continuously adapt to stay competitive. AI-driven human resource (HR) analytics has emerged as a strategic tool to enhance workforce agility and inform decision-making processes. By leveraging advanced algorithms, machine learning models, and predictive analytics, HR departments can transform vast data sets into actionable insights, driving talent management, employee engagement, and overall organizational efficiency. AI’s ability to analyze patterns, forecast trends, and offer data-driven recommendations empowers HR professionals to make proactive decisions (...) in hiring, skill development, performance management, and retention. (shrink)

This paper provides a comprehensive workflow for organizations considering a move from legacy database systems to Snowflake, demonstrating how a structured migration process can result in enhanced data accessibility, operational flexibility, and long-term scalability. Future directions for research are also discussed, including integration with advanced analytics and machine learning applications, which could further augment Snowflake’s utility in big data ecosystems.

This paper provides a comprehensive workflow for organizations considering a move from legacy database systems to Snowflake, demonstrating how a structured migration process can result in enhanced data accessibility, operational flexibility, and long-term scalability. Future directions for research are also discussed, including integration with advanced analytics and machine learning applications, which could further augment Snowflake’s utility in big data ecosystems.

The explosive growth in computational power over the past several decades offers new tools and opportunities for economists. This handbook volume surveys recent research on Agent-based Computational Economics (ACE), the computational study of economic processes modeled as open-ended dynamic systems of interacting agents. Empirical referents for “agents” in ACE models can range from individuals or social groups with learning capabilities to physical world features with no cognitive function. Topics covered include: learning; empirical validation; network economics; social dynamics; financial (...) markets; innovation and technological change; organizations; market design; automated markets and trading agents; political economy; social-ecological systems; computational laboratory development; and general methodological issues. (shrink)

Based on Kolchinsky and Wolpert’s work on the semantics of autonomous agents, I propose an application of Mathematical Logic and Probability to model cognitive processes. In this work, I will follow Bateson’s insights on the hierarchy of learning in complex organisms and formalize his idea of applying Russell’s Type Theory. Following Weaver’s three levels for the communication problem, I link the Kolchinsky–Wolpert model to Bateson’s insights, and I reach a semantic and conceptual hierarchy in living systems as an explicative (...) model of some adaptive constraints. Due to the generality of Kolchinsky and Wolpert’s hypotheses, I highlight some fundamental gaps between the results in current Artificial Intelligence and the semantic structures in human beings. In light of the consequences of my model, I conclude the paper by proposing a general definition of knowledge in probabilistic terms, overturning de Finetti’s Subjectivist Definition of Probability. (shrink)

This article analyzes emerging artificial intelligence (AI)-enhanced lie detection systems from ethical and human resource (HR) management perspectives. I show how these AI enhancements transform lie detection, followed with analyses as to how the changes can lead to moral problems. Specifically, I examine how these applications of AI introduce human rights issues of fairness, mental privacy, and bias and outline the implications of these changes for HR management. The changes that AI is making to lie detection are altering the roles (...) of human test administrators and human subjects, adding machine learning-based AI agents to the situation and establishing invasive data collection processes as well as introducing certain biases in results. I project that the potentials for pervasive and continuous lie detection initiatives (“truth machines”) are substantial, displacing human-centered efforts to establish trust and foster integrity in organizations. I argue that if it is possible for HR managers to do so, they should cease using technologically-based lie detection systems entirely and work to foster trust and accountability on a human scale. However, if these AI-enhanced technologies are put into place by organizations by law, agency mandate, or other compulsory measures, care should be taken that the impacts of the technologies on human rights and wellbeing are considered. The article explores how AI can displace the human agent in some aspects of lie detection and credibility assessment scenarios, expanding the prospects for inscrutable, “black box” processes and novel physiological constructs (such as “biomarkers of deceit”) that may increase the potential for such human rights concerns as fairness, mental privacy, and bias. Employee interactions with autonomous lie detection systems rather with than human beings who administer specific tests can reframe organizational processes and rules concerning the assessment of personal honesty and integrity. The dystopian projection of organizational life in which analyses and judgments of the honesty of one’s utterances are made automatically and in conjunction with one’s personal profile provides unsettling prospects for the autonomy of self-representation. (shrink)