Join us for our 8 July 2025 Chapter meeting featuring:
Presenter: Richard Beasley
Topic: Requirements Practice
Abstract: In this talk Richard Beasley will review various aspects of Requirements practice. This will essentially look at Systems Engineering from a requirements-filtered lens – looking at requirements as a key, foundational aspect of Systems Engineering, aspects of requirements elicitation including various common pitfalls and misunderstandings, and the integration of requirements understanding into the wider Systems Engineering information management and iterative approach.
Bio: Richard Beasley retired last year from Rolls-Royce where he was an Associate Fellow of Systems Engineering, leading the Systems Engineering capability. He has been involved in INCOSE since 2007, serving as the UK chapter president 2014-16, INCOSE Director of Services 2022-2024, was one of original author team for SEBok, a lead author of the INCOSE Competency framework, and currently leads the International Working Group on “Embedding Systems Engineering Into Organizations”. He has written many papers for INCOSE International Symposia over the years, a number of which form the basis for this talk.
Use the Teams link above to join the meeting.
Upcoming INCOSE Events
Central Virginia Chapter Dinner and Presentation - January 15, 2020
Fredericksburg
1 Towne Centre Boulevard
Park Lane Tavern Spotsylvania Towne Centre, 1 Towne Centre Boulevard, Fredericksburg, VA
CVA INCOSE cordially invites you to attend a dinner and presentation by:
Gordon J. Gattie. PhD
Wargaming Coordinator for
Naval Sea Systems Command Warfare Centers Mission Area
Director for Surface Warfare
Topic: What Were You Thinking? Investigating Human Judgement through Probabilistic Functionalism
Our increasingly complex environment and rapidly evolving technologies require decision makers who efficiently process multiple data streams from disparate sources while providing sound judgments. The judgment and decision-making scientific literature has significantly increased over the past two decades as sensors collect more information about the decision maker and surrounding environment, new techniques for assessing human judgment effectiveness have been developed, and increased computing power allows researchers to examine tactical-level decisions in greater detail and strategic-level decisions over longer timeframes. Decision theories are broadly classified into two categories: normative, which explains how decisions ought to be made, and descriptive, which explains how decisions actually are made. Furthermore, descriptive theories may also be predictive, such as Signal Detection Theory (Green & Swets, 1996) or Judgment Analysis (Cooksey, 1996). Within the scientific literature, various approaches to developing predictive decision theories include: comparing human behavior to an ideal model (Edwards, 1954), assessing judgments based on rationality in a complex uncertain environment (Simon, 1955), using expertise for the recognition-primed approach (Klein, 1997), considering cognitive heuristics and biases in human judgment (Kahneman, Slovic, & Tversky, 1982), and modeling human behavior using a cognitive algebra approach (Hammond, 1955). This presentation will provide an overview of the latter, and how Probabilistic Functionalism and the cognitive algebraic approach has been extensively used across domains such as law enforcement, medical diagnosis, education, and public policy development.