Moozonian

About 163 results
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arxiv.org
arxiv.org › abs › 2204.10358v1
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework
Creative Problem Solving (CPS) is a sub-area within Artificial Intelligence (AI) that focuses on methods for solving off-nominal, or anomalous problems in autonomous systems. Despite many advancements...
arxiv.org
arxiv.org › abs › 1604.02620v1
Surveying Turkish high school and university student attitudes and approaches to physics problem solving
Student attitudes and approaches to problem solving can impact how well they learn physics. Prior research in the US using a validated Attitude and Approaches to Problem Solving (AAPS) survey suggests...
www.cs.unm.edu
cs.unm.edu › ~luger › ai-final › tocfull.html
Artificial Intelligence: Structures and Strategies for Complex Problem Solving
George Luger's Artificial Intelligence
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arxiv.org
arxiv.org › abs › 2305.10033v1
SHoP: A Deep Learning Framework for Solving High-order Partial Differential Equations
Solving partial differential equations (PDEs) has been a fundamental problem in computational science and of wide applications for both scientific and engineering research. Due to its universal approx...
arxiv.org
arxiv.org › abs › 2105.09747v1
Implementation of two-field inflation for cosmic linear anisotropy solving system
We outline the modifications in the numerical Boltzmann code Cosmic Linear Anisotropy Solving System (CLASS) in order to include extra inflationary fields. The functioning of the code is first describ...
www.microsoft.com
microsoft.com › en › c...oft-azure-ai-germany
Siemens connects frontline workers and engineers for real-time problem-solving using Azure AI | Microsoft Customer Stories
Siemens Digital Industries Software saw the need to enable better cross-functional communication and collaboration for the industrial companies that use its software. Specifically, field and shop floo...
arxiv.org
arxiv.org › abs › 2209.05284v1
Solving the Job Shop Scheduling Problem with Ant Colony Optimization
The Job Shop Schedule Problem (JSSP) refers to the ability of an agent to allocate tasks that should be executed in a specified time in a machine from a cluster. The task allocation can be achieved fr...
techxplore.com
techxplore.com › news › 20...ath-slm-problem.html
Microsoft introduces rStar-Math, an SLM for math reasoning and problem solving
Points: 1 | Comments: 1 | Author: pseudolus
arxiv.org
arxiv.org › abs › 1111.4749v1
Solving the TTC 2011 Reengineering Case with Edapt
This paper gives an overview of the Edapt solution to the reengineering case of the Transformation Tool Contest 2011....
arxiv.org
arxiv.org › abs › 1111.4740v1
Solving the TTC 2011 Model Migration Case with Edapt
This paper gives an overview of the Edapt solution to the GMF model migration case of the Transformation Tool Contest 2011....
arxiv.org
arxiv.org › abs › 1111.4747v1
Solving the TTC 2011 Reengineering Case with GReTL
This paper discusses the GReTL reference solution of the TTC 2011 Reengineering case. Given a Java syntax graph, a simple state machine model has to be extracted. The submitted solution covers both ...
arxiv.org
arxiv.org › abs › 1111.4745v1
Solving the TTC 2011 Compiler Optimization Case with GReTL
This paper discusses the GReTL solution of the TTC 2011 Compiler Optimization case. The submitted solution covers both the constant folding task and the instruction selection task. The verifier for ...
arxiv.org
arxiv.org › abs › 1111.4743v1
Solving the TTC 2011 Compiler Optimization Case with QVTR-XSLT
In this short paper we present our solution for the Compiler Optimization case study of the Transformation Tool Contest (TTC) 2011 using the QVTR-XSLT tool. The tool supports editing and execution of ...
arxiv.org
arxiv.org › abs › 1111.4752v1
Solving the TTC 2011 Reengineering Case with Henshin
This paper presents the Henshin solution to the Model Transformations for Program Understanding case study as part of the Transformation Tool Contest 2011....
arxiv.org
arxiv.org › abs › 2208.10669v1
Solving Royal Game of Ur Using Reinforcement Learning
Reinforcement Learning has recently surfaced as a very powerful tool to solve complex problems in the domain of board games, wherein an agent is generally required to learn complex strategies and move...
arxiv.org
arxiv.org › abs › 1710.03732v1
RLT2-based Parallel Algorithms for Solving Large Quadratic Assignment Problems on Graphics Processing Unit Clusters
This paper discusses efficient parallel algorithms for obtaining strong lower bounds and exact solutions for large instances of the Quadratic Assignment Problem (QAP). Our parallel architecture is com...
arxiv.org
arxiv.org › abs › 1907.11910v1
SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP
Multiple-TSP, also abbreviated in the literature as mTSP, is an extension of the Traveling Salesman Problem that lies at the core of many variants of the Vehicle Routing problem of great practical imp...
arxiv.org
arxiv.org › abs › 1810.13127v1
Solving multiple-criteria R&D project selection problems with a data-driven evidential reasoning rule
In this paper, a likelihood based evidence acquisition approach is proposed to acquire evidence from experts'assessments as recorded in historical datasets. Then a data-driven evidential reasoning rul...
www.bing.com
bing.com › ck › a?!&am...ODgxMTg1Lw&ntb=1
Solving RF Interference: A 1-Year Study of Sources and Solutions
Sep 18, 2023 · See how I tracked all significant sources of RF interference for a year. Simple equipment and careful interaction with neighbors solved HF noise issues...