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Sökning: AMNE:(NATURAL SCIENCES) > Mälardalens universitet

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1.
  • Dodig Crnkovic, Gordana, 1955, et al. (författare)
  • Contemporary Natural Philosophy and Philosophies
  • 2018
  • Ingår i: Philosophies. - : MDPI AG. - 2409-9287. ; 3:42, s. 1-4
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • From the Philosophies program [1], one of the main aims of the journal is to help establish a new unity in diversity in human knowledge, which would include both “Wissen” (i.e., “Wissenschaft”) and “scīre” (i.e., “science”). As is known, “Wissenshaft” (the pursuit of knowledge, learning, and scholarship) is a broader concept of knowledge than “science”, as it involves all kinds of knowledge, including philosophy, and not exclusively knowledge in the form of directly testable explanations and predictions. The broader notion of scholarship incorporates an understanding and articulation of the role of the learner and the process of the growth of knowledge and its development, rather than only the final product and its verification and validation. In other words, it is a form of knowledge that is inclusive of both short-term and long-term perspectives; it is local and global, critical and hypothetical (speculative), breaking new ground. This new synthesis or rather re-integration of knowledge is expected to resonate with basic human value systems, including cultural values. Since knowledge tends to spontaneously fragment while it grows, Philosophies takes existing diversity as a resource and a starting point for a new synthesis. The idea of broad, inclusive knowledge is in fact not so new. From the beginning, natural philosophy included all contemporary knowledge about nature. Newton was a natural philosopher, as were Bohr, Einstein, Prigogine, Weizsäcker, and Wheeler—to name but a few. Today, the unifying picture of the natural/physical world is sorely missing among the isolated silos of particular scientific domains, each with its own specific ontologies, methodologies, and epistemologies. From the profound need for connected and common knowledge, new trends towards synthesis have emerged in the last decades. One major theme is complexity science, especially when applied to biology or medicine, which helps us to grasp the importance of connectedness between present-day disparate pieces of knowledge—frameworks, theories, approaches, etc. Related to this is the emergence of network science, which studies structures of nodes (actors) and edges as connections between them.
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2.
  • Dodig-Crnkovic, Gordana, 1955 (författare)
  • Cognitive Architectures Based on Natural Info-Computation
  • 2022
  • Ingår i: Studies in Applied Philosophy, Epistemology and Rational Ethics. - Cham : Springer. - 2192-6255 .- 2192-6263. ; , s. 3-13, s. 3-13
  • Bokkapitel (refereegranskat)abstract
    • At the time when the first models of cognitive architectures have been proposed, some forty years ago, understanding of cognition, embodiment and evolution was substantially different from today’s. So was the state of the art of information physics, information chemistry, bioinformatics, neuroinformatics, computational neuroscience, complexity theory, self-organization, theory of evolution, as well as the basic concepts of information and computation. Novel developments support a constructive interdisciplinary framework for cognitive architectures based on natural morphological computing, where interactions between constituents at different levels of organization of matter-energy and their corresponding time-dependent dynamics, lead to complexification of agency and increased cognitive capacities of living organisms that unfold through evolution. Proposed info-computational framework for naturalizing cognition considers present updates (generalizations) of the concepts of information, computation, cognition, and evolution in order to attain an alignment with the current state of the art in corresponding research fields. Some important open questions are suggested for future research with implications for further development of cognitive and intelligent technologies.
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3.
  • Petersson Troije, Charlotte, et al. (författare)
  • Outdoor Office Work : An Interactive Research Project Showing the Way Out
  • 2021
  • Ingår i: Frontiers in Psychology. - : Frontiers Media SA. - 1664-1078. ; 12
  • Tidskriftsartikel (refereegranskat)abstract
    • The physical boundaries of office work have become increasingly flexible. Work is conducted at multiple locations outside the office, such as at clients' premises, at home, in cafés, or when traveling. However, the boundary between indoor and outdoor environment seems to be strong and normative regarding how office work is performed. The aim of this study was to explore how office work may be conducted outdoors, understanding how it is being experienced by office employees and identifying its contextual preconditions. Based on a two-year interactive research project, the study was conducted together with a Swedish municipality. Fifty-eight participants engaged in the collaborative learning process, including 40 half-day workshops and reflective group discussions, co-interviews, and participants' independent experimentation of bringing work activities outdoors. Data was collected via interviews, group discussions and a custom-made mobile application. The results showed that a wide range of work activities could be done outdoors, both individually and in collaboration with others. Outdoor work activities were associated with many positive experiences by contributing to a sense of well-being, recovery, autonomy, enhanced cognition, better communication, and social relations, but also with feelings of guilt and illegitimacy. Conditions of importance for outdoor office work to happen and function well were found in the physical environment, where proximity to urban greenspaces stood out as important, but also in the sociocultural and organizational domains. Of crucial importance was managers' attitudes, as well as the overall organizational culture on this idea of bringing office work outdoors. To conclude, if working life is to benefit from outdoor office work, leaders, urban planners and policymakers need to collaborate and show the way out.
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4.
  • Dodig-Crnkovic, Gordana, 1955 (författare)
  • Natural Morphological Computation as Foundation of Learning to Learn in Humans, Other Living Organisms, and Intelligent Machines
  • 2020
  • Ingår i: Philosophies. - Basel, Switzerland : MDPI AG. - 2409-9287. ; 5:3
  • Tidskriftsartikel (refereegranskat)abstract
    • 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 (deep learning, robotics), natural sciences (neuroscience, cognitive science, biology), and philosophy (philosophy of computing, philosophy of mind, natural 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 human-level intelligence through evolution and development. The paper thus presents a contribution to the epistemology of the contemporary philosophy of nature.
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5.
  • Smolla, Marco, et al. (författare)
  • Underappreciated features of cultural evolution
  • 2021
  • Ingår i: Proceedings of the Royal Society of London. Biological Sciences. - : The Royal Society. - 0962-8452 .- 1471-2954 .- 0962-8436 .- 1471-2970. ; 376:1828
  • Tidskriftsartikel (refereegranskat)abstract
    • Cultural evolution theory has long been inspired by evolutionary biology. Conceptual analogies between biological and cultural evolution have led to the adoption of a range of formal theoretical approaches from population dynamics and genetics. However, this has resulted in a research programme with a strong focus on cultural transmission. Here, we contrast biological with cultural evolution, and highlight aspects of cultural evolution that have not received sufficient attention previously. We outline possible implications for evolutionary dynamics and argue that not taking them into account will limit our understanding of cultural systems. We propose twelve key questions for future research, among which are calls to improve our understanding of the combinatorial properties of cultural innovation, and the role of development and life history in cultural dynamics. Finally, we discuss how this vibrant research field can make progress by embracing its multidisciplinary nature.
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6.
  • Kristoffersson, Annica, 1980-, et al. (författare)
  • Teknik i hemmet - tekniska förutsättningar
  • 2019. - 1
  • Ingår i: Hemsjukvård. - : Liber. - 9789147112777 ; , s. 396-421
  • Bokkapitel (populärvet., debatt m.m.)abstract
    • I och med den fjärde industriella revolutionen – Industri 4.0 – kommer en nygeneration av teknik att finnas tillgänglig. Det förutspås att robotik och virtualreality kommer att transformera inte bara arbetsplatser utan även utvecklaandra domäner, såsom smarta städer och möjligheten till livsstils- och hälsomonitoreringhemma.Antalet tillgängliga konsument- och medicintekniska produkter ökar irask takt. Hälso- och sjukvårdssystemet ställs inför utmaningar, såsom behovetav att utveckla verktyg för att hantera ny teknologi men också att förändraarbetsprocesser och anpassa organisationen för att kunna hantera teknologin.Det här kapitlet ger en översikt över kommande teknologier, förslag på hurteknologi kan användas i hemmiljöer, en översikt över hur sådan teknik utvärderatssamt inte minst en reflektion kring hur dessa teknologier kan harmoniseramed nuvarande organisatoriska processer.
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7.
  • Dodig Crnkovic, Gordana, 1955 (författare)
  • Morphological Computing in Cognitive Systems, Connecting Data to Intelligent Agency
  • 2020
  • Ingår i: Proceedings (MDPI). - Basel Switzerland : MDPI. - 2504-3900. ; 47:1
  • Tidskriftsartikel (refereegranskat)abstract
    • According to the currently dominant view, cognitive science is a study of mind and intelligence focused on computational models of knowledge in humans. It is described in terms of symbol manipulation over formal language. This approach is connected with a variety of unsolvable problems, as pointed out by Thagard. In this paper, I argue that the main reason for the inadequacy of the traditional view of cognition is that it detaches the body of a human as the cognizing agent from the higher-level abstract knowledge generation. It neglects the dynamical aspects of cognitive processes, emotions, consciousness, and social aspects of cognition. It is also uninterested in other cognizing agents such as other living beings or intelligent machines. Contrary to the traditional computationalism in cognitive science, the morphological computation approach offers a framework that connects low-level with high-level approaches to cognition, capable of meeting challenges listed by Thagard. To establish this connection, morphological computation generalizes the idea of computation from symbol manipulation to natural/physical computation and the idea of cognition from the exclusively human capacity to the capacity of all goal-directed adaptive self-reflective systems, living organisms as well as robots. Cognition is modeled as a layered process, where at the lowest level, systems acquire data from the environment, which in combination with the already stored data in the morphology of an agent, presents the basis for further structuring and self-organization of data into information and knowledge.
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8.
  • Persson, Marcus, Universitetslektor, 1975-, et al. (författare)
  • Caregivers' use of robots and their effect on work environment : a scoping review
  • 2022
  • Ingår i: Journal of technology in human services. - : Taylor & Francis. - 1522-8835 .- 1522-8991. ; 40:3, s. 251-277
  • Forskningsöversikt (refereegranskat)abstract
    • Despite the lively discussion on the pros and cons of using robots in health care, little is still known about how caregivers are affected when robots are introduced in their work environment. The present scoping review fills this research gap by mapping previous studies about the relation between robots in care and caregivers’ working life. The paper is based on searches in four databases for peer-reviewed articles about robots in care settings, published 2000 to 2020. The 27 included papers were examined with the questions of 1) how robots are used by caregivers, and 2) how robots affect caregivers’ work environment. The analysis shows that the use of robots can affect both the physical and the psychosocial work environment, in positive as well as in negative ways. Robots are used in care settings to reduce physical and mental demands of the caregivers, but they can, in fact, increase caregivers’ workload. Thus, the review indicates that robots can improve the quality of work, but that they seldom work as a shortcut to increased efficiency or time effectiveness.
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9.
  • Gustafsson, Peter, et al. (författare)
  • The problem-solving process in physics as observed when engineering students at university level work in groups
  • 2015
  • Ingår i: European Journal of Engineering Education. - : Informa UK Limited. - 0304-3797 .- 1469-5898. ; 40:4, s. 380-399
  • Tidskriftsartikel (refereegranskat)abstract
    • The problem-solving process is investigated for five groups of students when solving context-rich problems in an introductory physics course included in an engineering programme. Through transcripts of their conversation, the paths in the problem-solving process have been traced and related to a general problem-solving model. All groups exhibit backward moves to earlier stages in the problem-solving process. These earlier stages are revisited by the groups for identifying sub-problems, setting parameter values or even restating the goal. We interpret this action as coming from the fact that the students have not yet developed a knowledge base and a problem-solving scheme. Connected to the backward moves in the process are opportunities for the group members to build such a knowledge base from contributions and experiences from all group members. Problem contents that induce such moves are identified and can thus be considered by science teachers when constructing problems for group work.
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10.
  • Dodig-Crnkovic, Gordana, 1955- (författare)
  • Morphological computation and learning to learn in natural intelligent systems and AI
  • 2021
  • Ingår i: AISB Convention 2021. - : The Society for the Study of Artificial Intelligence and Simulation of Behaviour. - 9781713829423
  • Konferensbidrag (refereegranskat)abstract
    • At present, artificial intelligence in the form of machine learning is making impressive progress, especially the field of deep learning (DL) [1]. Deep learning algorithms have been inspired from the beginning by nature, specifically by the human brain, in spite of our incomplete knowledge about its brain function. Learning from nature is a two-way process as discussed in [2][3][4], computing is learning from neuroscience, while neuroscience is quickly adopting information processing models. The question is, what can the inspiration from computational nature at this stage of the development contribute to deep learning and how much models and experiments in machine learning can motivate, justify and lead research in neuroscience and cognitive science and to practical applications of artificial intelligence.
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