Analytical Tools for Investigating and Modeling Agent-Based Systems

Abstract

This research developed techniques for data analysis of multi-agent systems. The research focused on how to analyze relational data that represent sets of interconnected agents, resources, and locations, as well as the attributes of these objects. Results of the research include new algorithms for knowledge discovery, fundamental discoveries about the challenges and opportunities of constructing statistical models in relational data, software prototypes of the algorithms developed, and a simulation environment for evaluating the techniques.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA436228

Entities

People

  • David Jensen

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Bayesian Networks
  • Computational Science
  • Computer Science
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Information Processing
  • Information Science
  • Information Systems
  • Knowledge Management
  • Machine Learning
  • Monte Carlo Method
  • Network Science
  • Probabilistic Models
  • Statistical Algorithms

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Theoretical Analysis.