Results 31 to 40 of about 2,662,631 (263)

The dynamism of strategic learning: Complexity theory in strategic L2 development

Studies in Second Language Learning and Teaching, 2020
Learners of foreign languages (L2s) apply strategies to support learning processes and L2 development. They select strategies according to their individual needs and preferences and adjust their strategic actions to suit situational circumstances and ...
Carmen M. Amerstorfer
doaj   +1 more source

Asymmetric Information Dissemination in Double-Layer Networks Helps Explain the Emergence of Cooperation

IEEE Access, 2023
This paper proposes a double-layer network game model based on asymmetric information, hoping to explore the impact of asymmetric information dissemination on the evolution of cooperation.
Xiaoming Gong
doaj   +1 more source

Narrative Complexity and the Case of Pfitz: An Update for the ‘Systems Novel’

Interlitteraria, 2021
Recent narrative studies of complexity theory have shown that so-called ‘emergent complexity’ does not accommodate to narrative form. Complexity theory is an interdisciplinary field of study that researches how large-scale phenomena emerge from simple ...
Toon Staes
doaj   +1 more source

Link Prediction in Complex Networks Using Average Centrality-Based Similarity Score

Entropy
Link prediction plays a crucial role in identifying future connections within complex networks, facilitating the analysis of network evolution across various domains such as biological networks, social networks, recommender systems, and more. Researchers
Y. V. Nandini, T. Jaya Lakshmi, Murali Krishna Enduri, Hemlata Sharma   +3 more
doaj   +1 more source

Geometric modeling and complexity - a conceptual approach in architectural design and education [PDF]

Spatium, 2019
By encompassing abstraction and patterned information, the new fields of geometry and mathematical models of complex dynamic spatial systems provide a new method for spatial modeling.
Čahtarević Rada, Proho Adna
doaj   +1 more source

Extending Graph-Based LP Techniques for Enhanced Insights Into Complex Hypergraph Networks

IEEE Access
Many real-world problems can be modelled in the form of complex networks. Social networks such as research collaboration networks and facebook, biological neural networks such as human brains, biomedical networks such as drug-target interactions and ...
Y. V. Nandini, T. Jaya Lakshmi, Murali Krishna Enduri, Hemlata Sharma, Mohd Wazih Ahmad   +4 more
doaj   +1 more source

Node Significance Analysis in Complex Networks Using Machine Learning and Centrality Measures

IEEE Access
The study addresses the limitations of traditional centrality measures in complex networks, especially in disease-spreading situations, due to their inability to fully grasp the intricate connection between a node’s functional importance and ...
Koduru Hajarathaiah, Murali Krishna Enduri, Satish Anamalamudi, Ashu Abdul, Jenhui Chen   +4 more
doaj   +1 more source

Self-Organization in Collective Action: Elinor Ostrom’s Contributions and Complexity Theory

Complexity, Governance & Networks, 2014
Elinor Ostrom’s contributions to the understanding self-organization in collective action processes are discussed from a complexity theory perspective. It is argued that complexity researchers can learn from Ostrom’s theory building process, as well her ...
Göktuğ Morçöl
doaj   +1 more source

Nurturing Breakthroughs: Lessons from Complexity Theory

, 2007
A general theory of innovation and progress in human society is outlined, based on the combat between two opposite forces (conservatism/inertia and speculative herding "bubble" behavior).
Sornette, Didier
core   +2 more sources

Should We Vote in Non-Deterministic Elections?

Philosophies
This article investigates reasons to participate in non-deterministic elections, where the outcomes incorporate elements of chance beyond mere tie-breaking.
Bob M. Jacobs, Jobst Heitzig
doaj   +1 more source