| 1. |
- Dodig-Crnkovic, Gordana, 1955
(författare)
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Cognitive Architectures Based on Natural Info-Computation
- 2022
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Ingår i: Studies in Applied Philosophy, Epistemology and Rational Ethics. - Cham : Springer. - 2192-6255 .- 2192-6263. ; , s. 3-13, s. 3-13
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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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| 2. |
- David, I., et al.
(författare)
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Blended modeling in commercial and open-source model-driven software engineering tools: A systematic study
- 2023
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Ingår i: Software and Systems Modeling. - : Springer Science and Business Media LLC. - 1619-1366 .- 1619-1374. ; 22, s. 415-447
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Tidskriftsartikel (refereegranskat)abstract
- Blended modeling aims to improve the user experience of modeling activities by prioritizing the seamless interaction with models through multiple notations over the consistency of the models. Inconsistency tolerance, thus, becomes an important aspect in such settings. To understand the potential of current commercial and open-source modeling tools to support blended modeling, we have designed and carried out a systematic study. We identify challenges and opportunities in the tooling aspect of blended modeling. Specifically, we investigate the user-facing and implementation-related characteristics of existing modeling tools that already support multiple types of notations and map their support for other blended aspects, such as inconsistency tolerance, and elevated user experience. For the sake of completeness, we have conducted a multivocal study, encompassing an academic review, and grey literature review. We have reviewed nearly 5000 academic papers and nearly 1500 entries of grey literature. We have identified 133 candidate tools, and eventually selected 26 of them to represent the current spectrum of modeling tools.
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| 3. |
- Dodig-Crnkovic, Gordana, 1955
(författare)
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Natural Morphological Computation as Foundation of Learning to Learn in Humans, Other Living Organisms, and Intelligent Machines
- 2020
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Ingår i: Philosophies. - Basel, Switzerland : MDPI AG. - 2409-9287. ; 5:3
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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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| 4. |
- Dodig Crnkovic, Gordana, 1955
(författare)
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Natural Computation of Cognition, from single cells up
- 2022
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Ingår i: Unconventional Computing, Arts, Philosophy. - Singapore : WORLD SCIENTIFIC. - 9789811257162 - 9789811257148 - 9789811257155 ; , s. 57-78
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- At the time when the first models of cognitive architectures have been proposed, some forty years ago, the understanding of cognition, embodiment, and evolution was substantially different from today. 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 the 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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| 5. |
- Dodig Crnkovic, Gordana, 1955
(författare)
-
In search of a common, information-processing, agency-based framework for anthropogenic, biogenic, and abiotic cognition and intelligence
- 2022
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Ingår i: Zagadnienia Filozoficzne w Nauce. - : Copernicus Center Press. - 0867-8286. ; :73, s. 17-46
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Tidskriftsartikel (refereegranskat)abstract
- Learning from contemporary natural, formal, and social sciences, especially from biology, as well as from humanities, particularly contemporary philosophy of nature, requires updates of our old definitions of cognition and intelligence. The result of current insights into basal cognition of single cells and evolution of multicellular cognitive systems within the framework of extended evolutionary synthesis (EES) helps us better to understand mechanisms of cognition and intelligence as they appear in nature. New understanding of information and processes of physical (morphological) computation contribute to novel possibilities that can be used to inspire the development of abiotic cognitive systems (cognitive robotics), cognitive computing and artificial intelligence.
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| 6. |
- Dodig-Crnkovic, Gordana, 1955-
(författare)
-
Morphological computation and learning to learn in natural intelligent systems and AI
- 2021
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Ingår i: AISB Convention 2021. - : The Society for the Study of Artificial Intelligence and Simulation of Behaviour. - 9781713829423
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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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| 7. |
- Dodig Crnkovic, Gordana, 1955, et al.
(författare)
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Natural Computing/ Unconventional Computing and its Philosophical Significance
- 2012
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Ingår i: Entropy. - : MDPI AG. - 1099-4300. ; 14:12, s. 2408-2412
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- For the Turing year 2012, AISB (The Society for the Study of Artificial Intelligence and Simulation of Behaviour) and IACAP (The International Association for Computing and Philosophy) merged their annual symposia/conferences to form the AISB/IACAP World Congress. The congress took place 2–6 July 2012 at the University of Birmingham, UK. The Congress was inspired by a desire to honour Alan Turing, and by the broad and deep significance of Turing's work to AI, the philosophical ramifications of computing, and philosophy and computing more generally. The Congress was one of the events forming the Alan Turing Year. The Congress consisted mainly of a number of collocated Symposia on specific research areas, together with six invited Plenary Talks. All papers other than the Plenaries were given within Symposia. This format is perfect for encouraging new dialogue and collaboration both within and between research areas. This volume forms the proceedings of one of the component symposia. We are most grateful to the organizers of the Symposium for their hard work in creating it, attracting papers, doing the necessary reviewing, defining an exciting programme for the symposium, and compiling this volume. We also thank them for their flexibility and patience concerning the complex matter of fitting all the symposia and other events into the Congress week
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| 8. |
- Enoiu, Eduard Paul, PhD, et al.
(författare)
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Towards a Model of Testers' Cognitive Processes: Software Testing as a Problem Solving Approach
- 2020
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Ingår i: Proceedings - Companion of the 2020 IEEE 20th International Conference on Software Quality, Reliability, and Security, QRS-C 2020. ; , s. 272-279
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Konferensbidrag (refereegranskat)abstract
- Software testing is a complex, intellectual activity based (at least) on analysis, reasoning, decision making, abstraction and collaboration performed in a highly demanding environment. Naturally, it uses and allocates multiple cognitive resources in software testers. However, while a cognitive psychology perspective is increasingly used in the general software engineering literature, it has yet to find its place in software testing. To the best of our knowledge, no theory of software testers' cognitive processes exists. Here, we take the first step towards such a theory by presenting a cognitive model of software testing based on how problem solving is conceptualized in cognitive psychology. Our approach is to instantiate a general problem solving process for the specific problem of creating test cases. We then propose an experiment for testing our cognitive test design model. The experiment makes use of verbal protocol analysis to understand the mechanisms by which human testers choose, design, implement and evaluate test cases. An initial evaluation was then performed with five software engineering master students as subjects. The results support a problem solving-based model of test design for capturing testers' cognitive processes.
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| 9. |
- Dodig Crnkovic, Gordana, 1955, et al.
(författare)
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Philosophy and Methodology of Information: The Study of Information in the Transdisciplinary Perspective
- 2019
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Ingår i: Philosophy And Methodology Of Information: The Study Of Information In The Transdisciplinary Perspective. - Singapore : WORLD SCIENTIFIC. - 9789813277526
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Bok (övrigt vetenskapligt/konstnärligt)abstract
- The book gives up-to-date, multi-aspect exposition of the philosophy and methodology of information, and related areas within the nascent field of the study of information. It presents the most recent achievements, ideas and opinions of leading researchers in this domain, as well as from physicists, biologists and social scientists. Collaboration of researchers from different areas and fields opens new perspectives for the understanding of information essential in the innovative development of science, technology and society. The book is meant for readers conducting research into any aspect of information, information society and information technology. The ideas presented give new insights for those who develop or implement scientific, technological or social applications. They are especially for those who are participating in setting the goals for science in general and sciences of information in particular.
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| 10. |
- Holstein, Tobias, et al.
(författare)
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Real-world ethics for self-driving cars
- 2020
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Ingår i: Proceedings - 2020 ACM/IEEE 42nd International Conference on Software Engineering: Companion, ICSE-Companion 2020. - New York, NY, USA : IEEE Computer Society. - 9781450371223 ; , s. 328-329, s. 328-329
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Konferensbidrag (refereegranskat)abstract
- Ethical and social problems of the emerging technology of selfdriving cars can best be addressed through an applied engineeringethical approach. However, currently social and ethical problemsare typically being presented in terms of an idealized unsolvabledecision-making problem, the so-called Trolley Problem. Instead,we propose that ethical analysis should focus on the study of ethicsof complex real-world engineering problems. As software plays acrucial role in the control of self-driving cars, software engineeringsolutions should handle actual ethical and social considerations. Wetake a closer look at the regulative instruments, standards, design,and implementations of components, systems, and services and wepresent practical social and ethical challenges that must be met inthe ecology of the socio-technological system of self-driving carswhich implies novel expectations for software engineering in theautomotive industry.
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