Social physics
Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …
phenomena. This development has been due to physicists venturing outside of their …
Recent progress, challenges and future prospects of applied deep reinforcement learning: A practical perspective in path planning
Y Zhang, W Zhao, J Wang, Y Yuan - Neurocomputing, 2024 - Elsevier
Path planning is one of the most crucial elements in the field of robotics, such as
autonomous driving, minimally invasive surgery and logistics distribution. This review begins …
autonomous driving, minimally invasive surgery and logistics distribution. This review begins …
Combining conflicting evidence using the DEMATEL method
W Zhang, Y Deng - Soft computing, 2019 - Springer
Dempster–Shafer evidence theory is widely used in the information fusion field for its
effectivity in representing and handling uncertain information. However, applications of …
effectivity in representing and handling uncertain information. However, applications of …
Scaling the phase-planes of social dilemma strengths shows game-class changes in the five rules governing the evolution of cooperation
H Ito, J Tanimoto - Royal Society open science, 2018 - royalsocietypublishing.org
Game theory has been extensively applied to help explain how cooperative behaviour is
promoted in human and animal societies. How do humans and animals establish reciprocity …
promoted in human and animal societies. How do humans and animals establish reciprocity …
The impact of awareness diffusion on SIR-like epidemics in multiplex networks
Z Wang, Q Guo, S Sun, C **a - Applied Mathematics and Computation, 2019 - Elsevier
The epidemic diseases have been threatening to human health, and it is of high importance
to understand the properties of epidemic propagation among the population will help us to …
to understand the properties of epidemic propagation among the population will help us to …
Social and juristic challenges of artificial intelligence
Artificial intelligence is becoming seamlessly integrated into our everyday lives, augmenting
our knowledge and capabilities in driving, avoiding traffic, finding friends, choosing the …
our knowledge and capabilities in driving, avoiding traffic, finding friends, choosing the …
A review of theoretical studies on indirect reciprocity
I Okada - Games, 2020 - mdpi.com
Despite the accumulation of research on indirect reciprocity over the past 30 years and the
publication of over 100,000 related papers, there are still many issues to be addressed …
publication of over 100,000 related papers, there are still many issues to be addressed …
Identifying influential nodes in complex networks from global perspective
How to identify influential nodes in complex networks is an open issue. Several centrality
measures have been proposed to address this. But these studies concentrate only on only …
measures have been proposed to address this. But these studies concentrate only on only …
GMM: A generalized mechanics model for identifying the importance of nodes in complex networks
How to assess the importance of nodes in the network is an open question. There are many
ways to identify the importance of nodes in complex networks. However, these methods …
ways to identify the importance of nodes in complex networks. However, these methods …
Identifying influential nodes in complex networks based on the inverse-square law
How to identify influential nodes in complex networks continues to be an open issue. A
number of centrality measures have been presented to address this problem. However …
number of centrality measures have been presented to address this problem. However …