Results 41 to 50 of about 3,975 (241)
Advancing sentiment classification through a population game model approach
Computational Sentiment Analysis involves the automation of human emotion comprehension by categorizing sentiments as positive, negative, or neutral.
Neha Punetha, Goonjan Jain
doaj +1 more source
Networks and Learning in Game Theory. [PDF]
This work concentrates on two topics, networks and game theory, and learning in games. The first part of this thesis looks at network games and the role of incomplete information in such games.
Kets, W.
core
A Reality Check for Game Theory [PDF]
There is a tendency for some economists who are less familiar with game theory (GT) to comment that it has never fulfilled its early promise and that it essentially has little to offer as a tool to understand, predict and guide human, social and economic
Butler, D.J.
core
In macrophages, senkyunolide I (SEI) directly targets the K12 residue of VDAC1 to inhibit its stress‐induced oligomerization, a critical upstream event that effectively prevents mitochondrial DNA release and subsequent cGAS‐STING pathway activation.
Zhiming Ye +9 more
wiley +1 more source
Incentivizing inclusive contributions in model sharing markets
Data plays a crucial role in training contemporary AI models, but much of the available public data will be exhausted in a few years, directing the world’s attention toward the massive decentralized private data.
Enpei Zhang +4 more
doaj +1 more source
This article presents a theoretical and methodological framework for applying a multi-agent systems (MAS) approach to modeling the budgeting processes of local hromadas.
Yevgen Kotukh, Maryna Riabokin
doaj +1 more source
A Behavioral Approach to Learning in Economics - Towards an Economic Theory of Contingent Learning [PDF]
In economics, adjustment of behavior has traditionally been treated as a "black box." Recent approaches that focus on learning behavior try to model, test, and simulate specific adjustment mechanisms in specific environments (mostly in games).
Tilman Slembeck
core
ABSTRACT Diabetic stroke is characterized by a hyperglycemic and pro‐inflammatory microenvironment that exacerbates neurovascular dysfunction. However, the blood–brain barrier (BBB) remains a formidable obstacle, restricting the delivery of most therapeutic molecules.
Bixin Shen +7 more
wiley +1 more source
Investment Under Uncertainty, Market Evolution and Coalition Spillovers in a Game Theoretic Perspective. [PDF]
The rationality assumption has been the center of neo-classical economics for more than half a century now. In recent years much research has focussed on models of bounded rationality.
Thijssen, J.J.J.
core
A Small‐Molecule DEPTAC Rescues Cognitive Deficits by Targeted Dephosphorylation of Pathological Tau
TP2 is a fully synthetic small‐molecule dephosphorylation‐targeting chimera that recruits endogenous PP2A‐Bα to Tau, enabling targeted removal of pathological phosphate modifications. In two tauopathy mouse models, systemic TP2 reduces Tau pathology, preserves neuronal and synaptic integrity, improves neuroimmune homeostasis, and rescues cognition ...
Fei Sun +12 more
wiley +1 more source

