Results 11 to 20 of about 3,975 (241)
Altruistic Versus Egoistic Behavior in a Public Good Game [PDF]
This paper analyzes an evolutionary version of the Public Good game in which boundedly rational agents can use imitation and best-reply decision rules. Several possibilities for both decision rules to be present in the population are considered.
Matros, Alexander
core +4 more sources
In the context of increasing global efforts to mitigate climate change, effective carbon emission reduction is a pressing issue. Governments and power companies are key stakeholders in implementing low-carbon strategies, but their interactions require ...
Zhanggen Zhu, Lefeng Cheng, Teng Shen
doaj +1 more source
Coding theory plays a crucial role in enabling reliable communication, storage, and computation. Classical approaches assume a worst-case adversarial model and ensure error correction and data recovery only when the number of honest nodes exceeds the number of adversarial ones by some margin.
Hanzaleh Akbari Nodehi +2 more
openaire +2 more sources
This paper introduces a model of ‘theory of mind’, namely, how we represent the intentions and goals of others to optimise our mutual interactions. We draw on ideas from optimum control and game theory to provide a ‘game theory of mind’.
Friston, K. +13 more
core +2 more sources
Multi-Agent Reinforcement Learning in Games: Research and Applications
Biological systems, ranging from ant colonies to neural ecosystems, exhibit remarkable self-organizing intelligence. Inspired by these phenomena, this study investigates how bio-inspired computing principles can bridge game-theoretic rationality and ...
Haiyang Li +5 more
doaj +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
While current mobility systems are essential for economic and social development, they cause significant negative externalities, including congestion, emissions, social inequality, and energy inefficiency, due to misaligned incentives among actors ...
Ehsan Dorostkar, Mahsa Najarsadeghi
doaj +1 more source
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto +4 more
wiley +1 more source
Significance of uncertainty in explaining institutional change in Douglass C. North’s approach
Motivation: Studies on nature and effects of uncertainty in a non-ergodic world became in Douglass Cecil North’s concept a starting point for explanation of economic changes mechanism. The origin of North’s studies on uncertainty is related to one of key
Gabriela Przesławska
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