Work

Methods for Integrating Knowledge with the Three-Weight Optimization Algorithm for Hybrid Cognitive Processing

Year: 2013

Type: preprint

Abstract: In this paper we consider optimization as an approach for quickly and flexibly developing hybrid cognitive capabilities that are efficient, scalable, and can exploit knowledge to improve solution speed and quality. In this context, we focus on the Three-Weight Algorithm, which aims to solve general optimization problems. We propose novel methods by which to integrate knowledge with this algorithm to improve expressiveness, efficiency, and scaling, and demonstrate these techniques on two example problems (Sudoku and circle packing).

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1311.4064

Authors: Derbinsky, Nate, Bento, José, Yedidia, Jonathan S.

Institution: Walt Disney (United States)

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2964059471

Cites: 20

Cited by: 1

Related to: 10