Link Search Menu Expand Document

Wk 12. How to validate subjective perspectives? A computational examination of Fuzzy Cognitive Maps and Agents’ Cognitive Architectures

Lecture Date: November 9, 2020 - Monday
Lecturer: Dr. Philippe Giabbanelli

Humans routinely make decisions under uncertainty and occasionally express contradictory beliefs. This complexity is often lost in an agent-based model, in which modelers equip agents with cognitive architectures that may over-simplify behaviors or lack transparency. The technique of Fuzzy Cognitive Mapping (FCM) allows to externalize the perspectives of a person or group into an aggregate model consisting of a causal map and an inference engine. An FCM may be used as the ‘virtual brain’ of an agent, thus providing rich human behaviors that are transparently acquired from participants. This talk will focus on validating FCMs and hybrid FCM/ABM models.

Slides:

On Blackboard

Assigned material:

  • “A Fuzzy Cognitive Map of the Psychosocial Determinants of Obesity”. Applied Soft Computing 12:3711-3724, 2012.
    Learning outcomes: how to build an FCM and validate its overall behavior.
  • “Identifying the components and interrelationships of smart cities in Indonesia: Supporting policymaking via fuzzy cognitive systems”. IEEE Access 7:46136-46151, 2019.
    Learning outcomes: how to apply validation throughout stages of the model-building process.
  • “CoFluences: Simulating the Spread of Social Influences via a Hybrid Agent-Based/Fuzzy Cognitive Maps Architecture”. Proceedings of the 2019 ACM SIGSIM Principles of Advanced Discrete Simulations (PADS) Conference.
    Learning outcomes: How to use an FCM to provide the virtual brains of agents.

Optional readings:

  • “Iterative generation of insight from text collections through mutually reinforcing visualizations and fuzzy cognitive maps”. Applied Soft Computing 76:459-472, 2019.
    Addition: how to build a model from text collections rather than participants.
  • “Combining Fuzzy Cognitive Maps with Agent-Based Modeling: Frameworks and Pitfalls of a Powerful Hybrid Modeling Approach to Understand Human-Environment Interactions”. Environmental Modelling & Software 95:320-325, 2017.
    Addition: different ways in which FCM and ABM can be combined, with examples from socio-ecological systems.

Back to top

Copyright © Hamdi Kavak. CSI 709/CSS 739 - Verification and Validation of Models.