Relevant bibliographies by topics / Quantum Decision Models

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Quantum Decision Models'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Quantum Decision Models"

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XIN, Xiaoyang, Chenhong XU, Hongyu CHEN, and Ying LI. "Quantum models for decision making." Advances in Psychological Science 26, no. 8 (2018): 1365. http://dx.doi.org/10.3724/sp.j.1042.2018.01365.

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Łukasik, Andrzej. "Quantum models of cognition and decision." International Journal of Parallel, Emergent and Distributed Systems 33, no. 3 (2018): 336–45. http://dx.doi.org/10.1080/17445760.2017.1410547.

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Pothos, Emmanuel M., Oliver J. Waddup, Prince Kouassi, and James M. Yearsley. "What Is Rational and Irrational in Human Decision Making." Quantum Reports 3, no. 1 (2021): 242–52. http://dx.doi.org/10.3390/quantum3010014.

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There has been a growing trend to develop cognitive models based on the mathematics of quantum theory. A common theme in the motivation of such models has been findings which apparently challenge the applicability of classical formalisms, specifically ones based on classical probability theory. Classical probability theory has had a singularly important place in cognitive theory, because of its (in general) descriptive success but, more importantly, because in decision situations with low, equivalent stakes it offers a multiply justified normative standard. Quantum cognitive models have had a
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Widdows, Dominic, Jyoti Rani, and Emmanuel Pothos. "Quantum Circuit Components for Cognitive Decision-Making." Entropy 25, no. 4 (2023): 548. http://dx.doi.org/10.3390/e25040548.

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This paper demonstrates that some non-classical models of human decision-making can be run successfully as circuits on quantum computers. Since the 1960s, many observed cognitive behaviors have been shown to violate rules based on classical probability and set theory. For example, the order in which questions are posed in a survey affects whether participants answer ‘yes’ or ‘no’, so the population that answers ‘yes’ to both questions cannot be modeled as the intersection of two fixed sets. It can, however, be modeled as a sequence of projections carried out in different orders. This and other
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Chinnaraju, Arunraju. "Quantum Computing in Consumer Behavior: A Theoretical Framework for Market Prediction and Decision Analytics." International Journal of Advanced Research in Science, Communication and Technology 5, no. 2 (2025): 339–71. https://doi.org/10.48175/ijarsct-23352.

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<strong>This is the author-archived version of the article titled</strong><em>&ldquo;Quantum Computing in Consumer Behavior: A Theoretical Framework for Market Prediction and Decision Analytics&rdquo;</em>,published in <em>International Journal of Advanced Research in Science, Communication and Technology (IJARSCT)</em>, Vol. 5, Issue 2, February 2025. The official published version is available at: https://doi.org/10.48175/IJARSCT-23352 URL: https://ijarsct.co.in/Paper23352.pdf This version has been deposited on Zenodo to enhance academic visibility and ensure indexing through scholarly datab
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Ardiansyah, Muhammad, and Vebri Sugiharto. "QUANTUM BUSINESS MODEL IN QUANTUM THEORY-BASED BUSINESS STRATEGY FOR DECISION MAKING." Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) 9, no. 1 (2025): 2461–76. https://doi.org/10.31955/mea.v9i1.5428.

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Traditional business decision models rely on classical probability and deterministic logic, which often fail to capture uncertainty, paradoxical behaviors, and dynamic market conditions. Quantum theory offers an alternative framework, introducing quantum probability, superposition, and entanglement to improve strategic decision-making. This research adopts a qualitative approach, incorporating expert interviews and secondary data analysis to explore the feasibility of a Quantum Business Model (QBM) in real-world business applications. The study investigates quantum probability in decision-maki
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Qiang SUN. "Quantum Interference Effects in Social Decision-Making." Quantum Social Science 1, no. 1 (2025): 70–92. https://doi.org/10.6914/qss.010102.

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Quantum interference effects play a fundamental role in social decision-making, offering a novel perspective beyond classical decision theories. This study explores the theoretical foundations of quantum decision-making, emphasizing the role of quantum probability in explaining cognitive biases, preference reversals, and decision anomalies. The research presents a quantum probability-based decision model and contrasts it with classical probability models. Through theoretical modeling and experimental design, we demonstrate how quantum interference alters decision probabilities and impacts grou
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Yearsley, James M., and Emmanuel M. Pothos. "Zeno's paradox in decision-making." Proceedings of the Royal Society B: Biological Sciences 283, no. 1828 (2016): 20160291. http://dx.doi.org/10.1098/rspb.2016.0291.

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Classical probability theory has been influential in modelling decision processes, despite empirical findings that have been persistently paradoxical from classical perspectives. For such findings, some researchers have been successfully pursuing decision models based on quantum theory (QT). One unique feature of QT is the collapse postulate, which entails that measurements (or in decision-making, judgements) reset the state to be consistent with the measured outcome. If there is quantum structure in cognition, then there has to be evidence for the collapse postulate. A striking, a priori pred
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Kvam, Peter D., Timothy J. Pleskac, Shuli Yu, and Jerome R. Busemeyer. "Interference effects of choice on confidence: Quantum characteristics of evidence accumulation." Proceedings of the National Academy of Sciences 112, no. 34 (2015): 10645–50. http://dx.doi.org/10.1073/pnas.1500688112.

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Decision-making relies on a process of evidence accumulation which generates support for possible hypotheses. Models of this process derived from classical stochastic theories assume that information accumulates by moving across definite levels of evidence, carving out a single trajectory across these levels over time. In contrast, quantum decision models assume that evidence develops over time in a superposition state analogous to a wavelike pattern and that judgments and decisions are constructed by a measurement process by which a definite state of evidence is created from this indefinite s
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John Jung Park. "Decision-Making & Quantum Mechanical Models of Cognitive Processing." Journal of Cognitive Science 17, no. 2 (2016): 199–228. http://dx.doi.org/10.17791/jcs.2016.17.2.199.

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Dissertations / Theses on the topic "Quantum Decision Models"

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Botero, Alonso. "Sampling weak values : a non-linear Bayesian model for non-ideal quantum measurements /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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Zuo, Xingdong. "Derivation of the Lindblad Equation for Open Quantum Systems and Its Application to Mathematical Modeling of the Process of Decision Making." Thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-38711.

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In the theory of open quantum systems, a quantum Markovian master equation, the Lindblad equation, reveals the most general form for the generators of a quantum dynamical semigroup. In this thesis, we present the derivation of the Lindblad equation and several examples of Lindblad equations with their analytic and numerical solutions. The graphs of the numerical solutions illuminate the dynamics and the stabilization as time increases. The corresponding von Neumann entropies are also presented as graphs. Moreover, to illustrate the difference between the dynamics of open and isolated systems,
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Ummels, Michael, and Christel Baier. "Computing Quantiles in Markov Reward Models." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-148031.

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Probabilistic model checking mainly concentrates on techniques for reasoning about the probabilities of certain path properties or expected values of certain random variables. For the quantitative system analysis, however, there is also another type of interesting performance measure, namely quantiles. A typical quantile query takes as input a lower probability bound p ∈ ]0,1] and a reachability property. The task is then to compute the minimal reward bound r such that with probability at least p the target set will be reached before the accumulated reward exceeds r. Quantiles are well-known f
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Dias, Christine Miranda. "Modelos para a tomada de decisão quanto ao tipo de sistema predial de água não potável." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/3/3153/tde-17072017-114611/.

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Os sistemas prediais de água não potável podem ser do tipo centralizado, quando os efluentes oriundos de diversas edificações são coletados e transportados para um único local de tratamento e redistribuídos para um conjunto de residências; ou descentralizado, quando a coleta, o tratamento e o transporte dos efluentes ocorrem próximos ao local de produção. Porém, tanto o sistema centralizado quanto o descentralizado possui particularidades que os fazem interessantes ou não em aspectos sociais, econômicos e ambientais. Desta forma, o objetivo principal desta pesquisa foi formular modelos matemát
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Ummels, Michael, and Christel Baier. "Computing Quantiles in Markov Reward Models." Technische Universität Dresden, 2013. https://tud.qucosa.de/id/qucosa%3A28185.

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Probabilistic model checking mainly concentrates on techniques for reasoning about the probabilities of certain path properties or expected values of certain random variables. For the quantitative system analysis, however, there is also another type of interesting performance measure, namely quantiles. A typical quantile query takes as input a lower probability bound p ∈ ]0,1] and a reachability property. The task is then to compute the minimal reward bound r such that with probability at least p the target set will be reached before the accumulated reward exceeds r. Quantiles are well-known f
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Lucena, Eleazar Marinho de Freitas. "Modelo de regressão logística para auxiliar a tomada de decisão quanto à necessidade de reabilitação em pacientes com Acidente Vascular Encefálico." Universidade Federal da Paraí­ba, 2013. http://tede.biblioteca.ufpb.br:8080/handle/tede/6549.

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Made available in DSpace on 2015-05-14T12:47:17Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 609832 bytes, checksum: fdd73debf3e835dd56305913d52d9a88 (MD5) Previous issue date: 2013-12-03<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>The stroke is characterized by generate impairments that lead to high morbidity in the affected people. The stroke s impacts have their effects minimized through the implementation of a rehabilitation program. However, the care integrality to people who require this service is not yet secured, which is visible by the repressed
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Soares, João Cláudio Ferreira. "Modelo de apoio à tomada de decisão quanto ao retrabalho de produtos defeituosos." Doctoral thesis, 2019. http://hdl.handle.net/1822/64743.

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Tese de doutoramento em Engenharia Industrial e Sistemas<br>Grande parte dos trabalhos voltados para a análise e implementação dos modelos de custos da qualidade utilizam a base do Modelo PAF e a hipótese de que investimentos em prevenção e avaliação promovem redução dos custos de falhas. Não destacam a análise da destinação de produtos defeituosos, considerando os custos diretos, indiretos, e de oportunidade perdida para cada opção de destinação (descarte ou retrabalho com e sem reposição). Além disso, não há trabalhos que utilizam métodos ou modelos de decisão com identificação, contab
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Books on the topic "Quantum Decision Models"

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Busemeyer, Jerome R. Quantum models of cognition and decision. Cambridge University Press, 2012.

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Busemeyer, Jerome R. Quantum models of cognition and decision. Cambridge University Press, 2012.

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Aerts, Diederik, Andrei Khrennikov, Massimo Melucci, and Bourama Toni, eds. Quantum-Like Models for Information Retrieval and Decision-Making. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25913-6.

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Geological Survey (U.S.), ed. Decision points and strategies in quantitative probabilistic assessment of undiscovered mineral resources. U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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Geological Survey (U.S.), ed. Decision points and strategies in quantitative probabilistic assessment of undiscovered mineral resources. U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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Geological Survey (U.S.), ed. Decision points and strategies in quantitative probabilistic assessment of undiscovered mineral resources. U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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Busemeyer, Jerome R., Zheng Wang, and Emmanuel Pothos. Quantum Models of Cognition and Decision. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.17.

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Quantum probability theory provides a new formalism for constructing probabilistic and dynamic systems of cognition and decision. The purpose of this chapter is to introduce psychologists to this fascinating theory. This chapter is organized into six sections. First, some of the basic psychological principles supporting a quantum approach to cognition and decision are summarized; second, some notations and definitions needed to understand quantum probability theory are presented; third, a comparison of quantum and classical probability theories is presented; fourth, quantum probability theory
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Busemeyer, Jerome R., and Peter D. Bruza. Quantum Models of Cognition and Decision. Cambridge University Press, 2012.

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Busemeyer, Jerome R., and Peter D. Bruza. Quantum Models of Cognition and Decision. Cambridge University Press, 2012.

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Busemeyer, Jerome R., and Peter D. Bruza. Quantum Models of Cognition and Decision. Cambridge University Press, 2014.

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Book chapters on the topic "Quantum Decision Models"

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Guan, Ji, Wang Fang, and Mingsheng Ying. "Verifying Fairness in Quantum Machine Learning." In Computer Aided Verification. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13188-2_20.

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AbstractDue to the beyond-classical capability of quantum computing, quantum machine learning is applied independently or embedded in classical models for decision making, especially in the field of finance. Fairness and other ethical issues are often one of the main concerns in decision making. In this work, we define a formal framework for the fairness verification and analysis of quantum machine learning decision models, where we adopt one of the most popular notions of fairness in the literature based on the intuition—any two similar individuals must be treated similarly and are thus unbia
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Basieva, Irina, and Andrei Khrennikov. "Decision-Making and Cognition Modeling from the Theory of Mental Instruments." In The Palgrave Handbook of Quantum Models in Social Science. Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-49276-0_5.

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Veshneva, Irina, and Alexander Bolshakov. "Application of Quantum-Like Mathematical Models Based on Status Functions for the Analysis of Socio-Economic Systems. Part 1. Introduction." In Studies in Systems, Decision and Control. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35875-3_11.

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Veshneva, Irina, and Alexander Bolshakov. "Application of Quantum-Like Mathematical Models Based on Status Functions for the Analysis of Socio-Economic Systems. Part 2: Modelling Based on Status Functions." In Studies in Systems, Decision and Control. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35875-3_12.

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Wichert, Andreas, and Catarina Moreira. "Balanced Quantum-Like Model for Decision Making." In Quantum Interaction. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35895-2_6.

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Busemeyer, Jerome R., Zheng Wang, and Jennifer S. Trueblood. "Hierarchical Bayesian Estimation of Quantum Decision Model Parameters." In Quantum Interaction. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35659-9_8.

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Mei, Jingyi, Marcello Bonsangue, and Alfons Laarman. "Simulating Quantum Circuits by Model Counting." In Computer Aided Verification. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65633-0_25.

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AbstractQuantum circuit compilation comprises many computationally hard reasoning tasks that lie inside #$${\textsf{P}}$$ P and its decision counterpart in $${\textsf{PP}}$$ PP . The classical simulation of universal quantum circuits is a core example. We show for the first time that a strong simulation of universal quantum circuits can be efficiently tackled through weighted model counting by providing a linear-length encoding of Clifford+T circuits. To achieve this, we exploit the stabilizer formalism by Knill, Gottesmann, and Aaronson by reinterpreting quantum states as a linear combination
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Dai, Aochu, and Mingsheng Ying. "QReach: A Reachability Analysis Tool for Quantum Markov Chains." In Computer Aided Verification. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65633-0_23.

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AbstractWe present QReach, the first reachability analysis tool for quantum Markov chains based on decision diagrams CFLOBDD (presented at CAV 2023). QReach provides a novel framework for finding reachable subspaces, as well as a series of model-checking subprocedures like image computation. Experiments indicate its practicality in verification of quantum circuits and algorithms. QReach is expected to play a central role in future quantum model checkers.
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Mei, Jingyi, Tim Coopmans, Marcello Bonsangue, and Alfons Laarman. "Equivalence Checking of Quantum Circuits by Model Counting." In Automated Reasoning. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63501-4_21.

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AbstractVerifying equivalence between two quantum circuits is a hard problem, that is nonetheless crucial in compiling and optimizing quantum algorithms for real-world devices. This paper gives a Turing reduction of the (universal) quantum circuits equivalence problem to weighted model counting (WMC). Our starting point is a folklore theorem showing that equivalence checking of quantum circuits can be done in the so-called Pauli-basis. We combine this insight with a WMC encoding of quantum circuit simulation, which we extend with support for the Toffoli gate. Finally, we prove that the weights
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Wiśniewska, Joanna. "Quantum Computer Network Model for a Decision Making Algorithm." In Computer Networks. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31217-5_8.

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Conference papers on the topic "Quantum Decision Models"

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Botelho, Cecilia, Juliano Buss, Helida Santos, et al. "Exploring Social Decision Models Through Quantum Fuzzy Approaches." In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2024. https://doi.org/10.1109/smc54092.2024.10831576.

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Tao, Han-Xiao, and Re-Bing Wu. "On the Role of Controllability in Pulse-based Quantum Machine Learning Models." In 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886070.

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Iftakher, Ashfaq, and M. M. Faruque Hasan. "Exploring Quantum Optimization for Computer-aided Molecular and Process Design." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.143809.

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Computer-aided Molecular and Process Design (CAMPD) is an equation-oriented multi-scale decision making framework for designing both materials (molecules) and processes for separation, reaction, and reactive separation whenever material choice significantly impacts process performance. The inherent nonlinearity and nonconvexity in CAMPD optimization models, introduced through the property and process models, pose challenges to state-of-the-art solvers. Recently, quantum computing (QC) has shown promise for solving complex optimization problems, especially those involving discrete decisions. Th
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Lee, Yunyan, Ian R. Petersen, and Daoyi Dong. "Model Predictive Control of Two-level Open Quantum Systems." In 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886028.

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Zuo, Ya, Weidong Zheng, Xiaojun Zhang, Junchen Wei, and Yuqian Zhang. "Research on Power Grid Investment Decision-Making Model Based on Quantum Genetic Algorithm." In 2024 4th International Conference on Energy Engineering and Power Systems (EEPS). IEEE, 2024. https://doi.org/10.1109/eeps63402.2024.10804533.

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Dinçer, Hasan, Serhat Yüksel, and Bijan Abadi. "Analyzing the Participation Priorities of Wind Energy Investment Projects using a Novel Quantum Mechanics and Spherical Fuzzy Sets-based Decision-Making Model." In 2024 2nd International Conference on Power and Renewable Energy Engineering (PREE). IEEE, 2024. https://doi.org/10.1109/pree63126.2024.10955838.

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Barretto, Gustavo Henrique Farias, Vanessa Cruz Pacheco, Carolina Andrade de Oliveira, Roseneia Rodrigues Santos de Melo, Dayana Bastos Costa, and Vitor Marcelo Senra Nunes Guimarães. "Uso de BIM e fotogrametria para o monitoramento visual do progresso de obras de infraestrutura." In XX ENCONTRO NACIONAL DE TECNOLOGIA DO AMBIENTE CONSTRUÍDO. UFAL, 2024. http://dx.doi.org/10.46421/entac.v20i1.6000.

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O controle e monitoramento do avanço físico das obras são fundamentais para garantir o cumprimento do planejamento da produção e a gestão eficiente dos recursos. Entretanto, as práticas usuais são manuais, com observações individuais e uso de documentação textual, reduzindo a confiabilidade de informações fundamentais para a tomada de decisão dos gestores. Para melhorar esses aspectos, esse estudo explora o uso da modelagem da informação da construção (BIM) e da fotogrametria como sugestão de tecnologias digitais para garantir um monitoramento mais ágil, confiável e transparente do avanço físi
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Wharton, Ken, and Daniel P. Sheehan. "Constructing Retrocausal Models: Decision Points and Pitfalls." In QUANTUM RETROCAUSATION: THEORY AND EXPERIMENT. AIP, 2011. http://dx.doi.org/10.1063/1.3663715.

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Mollan, Calahan, Susan Bowyer, and Vijitashwa Pandey. "Open Quantum Models and Magnetoencephalography Derived Neural Correlates for Engineering Decision Dynamics." In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/detc2023-116722.

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Abstract Human decision making affects all aspects of engineering practice and has been extensively studied in the literature. However, it has been observed that our decision-making behavior is not properly modeled using classical probability techniques. Consequently, alternative models have been explored with varying degrees of success. One of these approaches is based on using the mathematics of quantum mechanics to model human decisions, which has successfully explained paradoxes such as Ellsberg paradox, question order effect and violation of the law of total probability. In this paper, we
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KHRENNIKOV, ANDREI. "QUANTUM-LIKE MODELS FOR DECISION MAKING IN PSYCHOLOGY AND COGNITIVE SCIENCE." In Quantum Bio-Informatics II - From Quantum Information to Bio-Informatics. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789814273756_0010.

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Reports on the topic "Quantum Decision Models"

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Pasupuleti, Murali Krishna. Quantum Cognition: Modeling Decision-Making with Quantum Theory. National Education Services, 2025. https://doi.org/10.62311/nesx/rrvi225.

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Abstract Quantum cognition applies quantum probability theory and mathematical principles from quantum mechanics to model human decision-making, reasoning, and cognitive processes beyond the constraints of classical probability models. Traditional decision theories, such as expected utility theory and Bayesian inference, struggle to explain context-dependent reasoning, preference reversals, order effects, and cognitive biases observed in human behavior. By incorporating superposition, interference, and entanglement, quantum cognitive models offer a probabilistic framework that better accounts
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Pasupuleti, Murali Krishna. Securing AI-driven Infrastructure: Advanced Cybersecurity Frameworks for Cloud and Edge Computing Environments. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv225.

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Abstract: The rapid adoption of artificial intelligence (AI) in cloud and edge computing environments has transformed industries by enabling large-scale automation, real-time analytics, and intelligent decision-making. However, the increasing reliance on AI-powered infrastructures introduces significant cybersecurity challenges, including adversarial attacks, data privacy risks, and vulnerabilities in AI model supply chains. This research explores advanced cybersecurity frameworks tailored to protect AI-driven cloud and edge computing environments. It investigates AI-specific security threats,
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Pasupuleti, Murali Krishna. Automated Smart Contracts: AI-powered Blockchain Technologies for Secure and Intelligent Decentralized Governance. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv425.

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Abstract: Automated smart contracts represent a paradigm shift in decentralized governance by integrating artificial intelligence (AI) with blockchain technologies to enhance security, scalability, and adaptability. Traditional smart contracts, while enabling trustless and automated transactions, often lack the flexibility to adapt to dynamic regulatory frameworks, evolving economic conditions, and real-time security threats. AI-powered smart contracts leverage machine learning, reinforcement learning, and predictive analytics to optimize contract execution, detect fraudulent transactions, and
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Perdigão, Rui A. P., and Julia Hall. Augmented Post-Quantum Synergistic Manifold Intelligence for Complex System Dynamics and Coevolutionary Multi-Hazards. Synergistic Manifolds, 2024. https://doi.org/10.46337/241211.

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This work seeks to unveil system dynamic predictability beyond existing data and model horizons, and beyond methodological paradigms in classical physics, machine learning and artificial intelligence, in order to increase awareness and preparedness to predict and tackle complexity and multi-hazards in a changing world, one where the coevolution among humans and nature has been reshaping the structure and functioning of our planet and the multiscale multidomain interactions within. For this purpose, we design and implement our next-generation Information Physical suite of Augmented Post-Quantum
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Vasconcelos Abreu, Luís. A democratização do governo das empresas, em especial a codeterminação. Algumas ideias quanto à sua adoção no direito português. DINÂMIA'CET-Iscte, 2024. http://dx.doi.org/10.15847/dinamiacet-iul.wp.2024.01.

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Considerando vantajosa a participação dos trabalhadores na vida da empresa, o Autor começa por recordar que o estudo dessa matéria remonta, entre nós, pelo menos, ao início da década de setenta do século passado. Foi, nessa altura, adotado o modelo alemão como referência e tal tem vindo a suceder ao longo dos tempos. Devido a não existir, no nosso país, a mesma tradição do que na Alemanha, de uma cultura de codeterminação pelos trabalhadores nas empresas, o Autor sublinha a necessidade de se avançar com cautela na transposição do referido modelo. Assim, deverão ser ponderadas as especificidade
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