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In a team of threat analysts, two individuals were competing over projecting their own hypotheses on a given malware. However, to find logical proofs to confirm their hypotheses, the threat intelligence manager used a de-biasing strategy that involves learning strategic decision making in the circumstances comprising multistep interactions with numerous representatives, either having or without any perfect relevant information. Which of the following de-biasing strategies the threat intelligence manager used to confirm their hypotheses?
Correct Answer: B
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shar - May 11, 2025
ANS: D Game theory is a de-biasing strategy that involves understanding strategic decision-making in environments with multiple agents (players), where each agent’s actions impact the outcomes of others. This strategy helps in analyzing competing interests, like those of the two analysts, by modeling how they might behave under certain rules, available information, and incentives.
In this scenario: • The manager is trying to validate competing hypotheses. • The setting includes multistep interactions and participants with or without complete information. • These are classic characteristics where game theory is applied — particularly useful in cybersecurity to model attacker–defender behavior or competing threat hypotheses. Other Options: • B. Machine learning: Involves pattern recognition from data, not logical strategy-based decision modeling. • C. Decision theory: Focuses on individual decision-making under risk or uncertainty, but not necessarily multistep interactions among many actors. • D. Cognitive psychology: Focuses on individual biases, perception, and mental models — not strategic group decision dynamics....
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ANS: D
Game theory is a de-biasing strategy that involves understanding strategic decision-making in environments with multiple agents (players), where each agent’s actions impact the outcomes of others. This strategy helps in analyzing competing interests, like those of the two analysts, by modeling how they might behave under certain rules, available information, and incentives.
In this scenario:
• The manager is trying to validate competing hypotheses.
• The setting includes multistep interactions and participants with or without complete information.
• These are classic characteristics where game theory is applied — particularly useful in cybersecurity to model attacker–defender behavior or competing threat hypotheses.
Other Options:
• B. Machine learning: Involves pattern recognition from data, not logical strategy-based decision modeling.
• C. Decision theory: Focuses on individual decision-making under risk or uncertainty, but not necessarily multistep interactions among many actors.
• D. Cognitive psychology: Focuses on individual biases, perception, and mental models — not strategic group decision dynamics....