Favorite line from this paper so far is: “Lane change simulations tell him that the risk of a collision is high… while slowing down only runs the risk of a low relative impact.” It’s a model of the least-bad forced selection under incomplete information. Very much the lesser of two weevils (Master and Commander joke).
Your model works by narrowing things down until the system finds a move that restores stability.
What happens when there isn’t one?
When every available choice permanently breaks something the system needs?
I'd probably cheat with a deadlock strategy often used in database systems: flip a coin. 😂 But this emulates the progressive complication concept in storytelling. Options are whittled away until you're faced with that "least bad" (we call it best bad at SG) binary choice which demonstrates growth and character in the protagonist. If I were to extend the emotional appraisal model to leverage the self-confidence factor, appraisal of the system's history could come into play as well (I can do this!) But in the real world, things crash, regardless of skill and catastrophe isn't entirely avoidable. The asymptote wins eventually.
Favorite line from this paper so far is: “Lane change simulations tell him that the risk of a collision is high… while slowing down only runs the risk of a low relative impact.” It’s a model of the least-bad forced selection under incomplete information. Very much the lesser of two weevils (Master and Commander joke).
Your model works by narrowing things down until the system finds a move that restores stability.
What happens when there isn’t one?
When every available choice permanently breaks something the system needs?
I'd probably cheat with a deadlock strategy often used in database systems: flip a coin. 😂 But this emulates the progressive complication concept in storytelling. Options are whittled away until you're faced with that "least bad" (we call it best bad at SG) binary choice which demonstrates growth and character in the protagonist. If I were to extend the emotional appraisal model to leverage the self-confidence factor, appraisal of the system's history could come into play as well (I can do this!) But in the real world, things crash, regardless of skill and catastrophe isn't entirely avoidable. The asymptote wins eventually.