VSM-ACT-R: Toward Using Cognitive Architecture For Manufacturing Solutions

Siyu Wu, Alessandro Oltramari, Frank E. Ritter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The era of Industry 4.0 demands innovative solutions to produce high-quality products within tight lead times. This paper explores the integration of cognitive architectures (CAs) into manufacturing solutions, with a focus on using VSM-ACT-R, a cognitive architecture model built upon the ACT-R architecture. VSM-ACT-R aids in making informed decisions in smart scheduling that boosts productivity while ensuring consistent quality. The model stands out in three key aspects of decision-making in manufacturing: First, it executes tasks using decision-making algorithms and knowledge representations observed in human subjects, supported by declarative memories that reflect intuitive and domain-specific knowledge. Second, it mimics various levels of decision-making-from novice through to expert—using production rules and retrieval mechanisms that replicate variations of human behavior. Third, it simulates the learning processes of decision-makers, managed by a decision-choice control center that is driven by utility learning and reinforcement reward. We conclude by discussing an evaluation of this model, its applications, and its implications.

Original languageEnglish (US)
Title of host publicationSocial, Cultural, and Behavioral Modeling - 17th International Conference, SBP-BRiMS 2024, Proceedings
EditorsRobert Thomson, Aryn Pyke, Aravind Hariharan, Scott Renshaw, Patrick Park, Samer Al-khateeb, Annetta Burger
PublisherSpringer Science and Business Media Deutschland GmbH
Pages69-79
Number of pages11
ISBN (Print)9783031722400
DOIs
StatePublished - 2024
Event17th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2024 - Pittsburgh, United States
Duration: Sep 18 2024Sep 20 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14972 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2024
Country/TerritoryUnited States
CityPittsburgh
Period9/18/249/20/24

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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