ComplexityPod
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#13 — Hybrid image encryption proposed, learning environment as complex system

July 28, 2026
A proposed hybrid image encryption system integrates quantum cryptography, chaos theory, and reservoir computing for security against classical and quantum attacks. Other topics include viewing technology-enhanced learning environments as complex systems and applying social-ecological heuristics to analyze them. Further subjects cover leadership theories within inclusive systems thinking, methods to prevent organizational decay, and evolutionary intelligence as a framework for resilience.

Sources

  1. A Hybrid Quantum-Chaos Theory Approach to Image Encryption Using Reservoir Computing
    This research presents a novel hybrid image encryption system that combines quantum cryptography, chaos theory and reservoir computing to address the limitations of conventional encryption methods. With the rapid advancements in quantum computing, traditional systems like RSA, DHKE (related to prime number factorization) are vulnerable to quantum attacks i.e. Shor's algorithm, Grover's algorithm. In response, this study proposes a hybrid solution that uses quantum cryptographic protocols, particularly the E91 protocol, to generate secure, eavesdrop-proof keys through quantum entanglement. The…
  2. Developing resilience and managing change in technology-enhanced learning environments
    In the competitive higher education environment there is pressure for organisational change at all levels, from major organisational structural change to introducing new curricula or new and innovative educational technology. However, current educational and organisational management strategies in higher education do not adequately address an emerging issue, that of managing for change and uncertainty. The aim of this research was to fill this gap, focusing educational management back on the domain of teaching and learning through a focus on the learning environment. This thesis explored new…
  3. Transformational, Servant, and Distributed Leadership for Inclusive Systems
    This chapter explores three related theories of leadership transformational, servant, and distributed leadership in the context of inclusive systems thinking. The chapter is based on empirical research and theoretical frameworks in the field of organizational psychology, education, and public administration and how these models can promote equity, psychological safety, and collective efficacy in various institutions. Transformational leadership is discussed in terms of its ability to inspire vision and encourage systemic change; servant leadership is discussed in terms of its focus on…
  4. Towards international competence of Indonesian accounting undergraduates: a systems approach to identify inter-correlates between constructs of the education process
    Increasing capital influx from foreign direct investment and international financing assistance requires Indonesian accountants to follow international standards of practices. Therefore, the Indonesian Institute of Accountants have been converging Indonesian Accounting Standards with IFRS. International standards of accounting practice also require Indonesian universities to harmonise competencies of their accounting graduates with international education competencies. This harmonisation equips accounting graduates with competencies to compete in a global market, to support multi-national…
  5. Adversarial dynamical systems characterize when data-driven learning succeeds or fails
    Many systems resist analytical modeling, making data-driven inference of dynamics important. Yet data-driven methods can fail to converge or generalize, leaving open a central question: When can system behavior be learned reliably from data, and when is such learning impossible? We answer this question using adversarial dynamical systems to identify the boundary between accessible and inaccessible regimes. In Koopman operator learning, a leading framework for representing nonlinear dynamics through linear spectral objects, we design optimal data-driven spectral algorithms with convergence and…
  6. Not All Chaos Is Equal
    Chaos-enhanced search mechanisms are widely used to improve exploration and mitigate stagnation in metaheuristic optimization. However, their integration into the recently proposed Dholes-Inspired Optimization (DIO) algorithm has not yet been systematically investigated. This study presents a systematic evaluation of chaos-enhanced DIO variants by embedding ten structurally diverse chaotic maps into the original algorithm. The resulting eleven DIO variants are benchmarked on 17 classical constrained engineering design problems under identical experimental conditions. Prior to optimization,…
  7. Dysfunctional Leaders: Only the Tip of the Iceberg, System Function and Leadership Decay
    Why do organizations repeatedly retain leaders whose actions undermine long-term viability despite widespread recognition of dysfunction? This paper presents a theory-building synthesis that traces organizational and leadership theory to examine how dysfunction and resistance to change becomes normalized within organizational systems. Drawing on a systematic literature review spanning the early twentieth century to the present, the analysis traces six theoretical periods and shows how dominant theories shaped the conceptualization of leadership, accountability, and legitimate intervention.…
  8. Effective Organization is a System of Four-Dimensional Evolutionary Coordination
    This paper develops a theoretical lens of evolutionary intelligence (“EI”) that establishes a generalizable systems framework of both effective human organization and strategic resilience. Grounded in practice, EI was serendipitously conceived in hindsight via the microhistory research method. Evolutionary coordination mechanisms are increasingly needed, yet no theory of organization or strategy has incorporated the multidimensional competition complexity that evolution requires. EI is developed to fill this gap via a four-by-four concentric typology of independent dimensions of organization…

Also this week

Full transcript
To protect an image from a quantum computer, one proposal suggests using quantum physics and chaos theory against it. That research is our lead story on ComplexityPod, where we see how systems thinking is applied across different fields. We begin with this new approach to encryption. This week brings several applications of systems thinking, starting with leadership. One chapter looks at three specific leadership theories—transformational, servant, and distributed—through this lens. And the goal is to see how those models can foster concrete outcomes like equity, psychological safety, and collective efficacy within an organization. It’s about applying theory to improve the workplace. But that raises a question another paper addresses: If we have these models, why does leadership dysfunction still persist so often? It proposes a system-level explanation. The idea is that there's a binding constraint called 'resource finality'. For leadership to work long-term, accountability has to be connected to the organization's actual viability, which involves political dynamics and coordinating with stakeholders. And building on that idea of viability, there's a new theoretical framework called Evolutionary Intelligence, or EI. It's structured as a four-dimensional process meant to help an organization handle complex competition by internalizing those evolutionary mechanisms. This framework also adds a new layer to the familiar Data-Information-Knowledge-Wisdom pyramid. It introduces the concept of 'organizational wisdom' as the top level. Pivoting to education, a study in Indonesia applied System Theory to analyze the competency of accounting graduates. It used an Input-Environment-Output model to structure the analysis. That’s a very specific application, but it points to a broader trend. Another study characterizes technology-enhanced learning environments themselves as complex systems. And to analyze that complexity, the research applied five specific heuristics borrowed from social-ecological systems: panarchy, adaptive cycles, adaptability, transformability, and resilience. Right, and using those tools provided a more detailed picture of the system's dynamics. It’s a way to get past the label of 'complex' and actually understand what’s happening inside the learning environment. In computational modeling, researchers have designed new spectral algorithms for Koopman operator learning. These algorithms come with convergence and certification guarantees under common conditions. Which is a development because it establishes a convergence theory for these approximations. It effectively resolves an open problem in the field. Also on the optimization front, there was an evaluation of the Dholes-Inspired Optimization algorithm—or DIO—when enhanced with chaotic search mechanisms. They embedded ten different chaotic maps into the algorithm to see what would happen. And it turns out four of them—the Piecewise, Singer, Iterative, and Circle maps—consistently improved both the robustness and the convergence speed of the original algorithm when tested on engineering design problems. Switching to security, a new hybrid image encryption system was proposed. It’s designed to address the limits of current methods and provide security against both classical and quantum attacks. The 'hybrid' part comes from its three components. It uses quantum cryptography for secure key generation and chaos theory, specifically the Lorenz hyper-chaotic system, to add unpredictability. And the third piece is reservoir computing, which is included to improve computational efficiency. Also on the radar, large language models are enabling more sophisticated agents, moving them from just theory into practical applications, though their intrinsic limitations are still a challenge. Right, and one study is trying to address that by developing a 'dialogic community of inquiry' model to improve online discussions, which resulted in an interactive website that’s now ready for field trials. And finally, in geoscience education, students reported that Virtual Field Experiences are valuable for learning. They specifically mentioned improved readiness and understanding, and saw these experiences as complementary tools to traditional fieldwork. One key benefit was reducing cognitive overload, and students were interested in seeing broader, more interactive applications. That is all for this issue. We will be back next week with more research summaries. From ComplexityPod, thanks for listening.

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