We propose a novel generic reputation bootstrapping framework for composite services. Multiple reputation-related indicators are considered in a layer-based framework to implicitly reflect the reputation of the component services. The importance of a...
The Executive Summary of the Indigenous Peoples' Resilience Framework identifies defining principles, internal drivers and external enablers that support their resilience to climate change and other …
Compared with model-based control and optimization methods, reinforcement learning (RL) provides a data-driven, learning-based framework to formulate and solve sequential decision-making problems. The RL framework has become promising due to largely...
In this paper, an agent-based modeling framework to evaluate the seismic resilience of an integrated system comprising the community and its civil infrastructure systems is proposed. Specifically, an agent-based model of the recovery process of civil...
We propose a general framework for first-order functional logic programming, supporting lazy functions, non-determinism and polymorphic datatypes whose data constructors obey a set C of equational axioms. On top of a given C, we specify a program a...
We describe a framework to support the implementation of web-based systems intended to manipulate data stored in relational databases. Since the conceptual model of a relational database is often specified as an entity-relationship (ER) model, we pro...
Nov 10, 2025 · To transform AI governance from fragmentation into shared growth, nations need a common framework to align AI sovereignty, interoperability and inclusion.
Nov 10, 2025 · To transform AI governance from fragmentation into shared growth, nations need a common framework to align AI sovereignty, interoperability and inclusion.
Probabilistic resource adequacy assessment is a cornerstone of modern capacity accreditation. This paper develops a gradient-based framework, in which capacity accreditation is interpreted as the directional derivative of a probabilistic resource ade...
There is a growing desire to create computer systems that can communicate effectively to collaborate with humans on complex, open-ended activities. Assessing these systems presents significant challenges. We describe a framework for evaluating system...
Hi! I’ve been out of the Magento development game for a while (see my previous post history here :)) but am interesting in learning a bit about the current landscape of packages / frameworks / libra...
This repository contains a technical test implementation using Shopify's Hydrogen framework. The project demonstrates headless commerce capabilities using Shopify's stack and Remix framework. (⭐ 0)
Resource allocation is investigated to enhance the performance of device-to-device (D2D) cooperation in a fog radio access network (F-RAN) architecture. Our envisioned framework enables two D2D links to share certain orthogonal radio resource blocks...
**TL;DR:** I've spent years building a 152-page constitutional framework (edited down from 1,200 pages I wrote in development) to solve the "post-truth" problem for our future. It uses 8 federated co...
Dissertation Workboard (⭐ 0)
Neurosymbolic learning enables the integration of symbolic reasoning with deep learning but faces significant challenges in scaling to complex symbolic programs, large datasets, or both. We introduce DOLPHIN, a framework that tackles these challenges...
We develop a general framework, based on Boltzmann transport theory, to analyze the distribution of wealth in societies. Within this framework we derive the distribution function of wealth by using a two-party trading model for the poor people whil...
We develop a general framework to analyze the distribution functions of wealth and income. Within this framework we study wealth distribution in a society by using a model which turns on two-party trading for poor people while for rich people inter...
Evals provide a framework for evaluating large language models (LLMs) or systems built using LLMs. We offer an existing registry of evals to test different dimensions of OpenAI models and the ability to …
Graphons, as limits of graph sequences, provide an operator-theoretic framework for analyzing the asymptotic behavior of graph neural operators. Spectral convergence of sampled graphs to graphons induces convergence of the corresponding neural operat...