Older adults consistently show a cognitive bias toward positive over negative information — they remember positive images better than negative ones, attend more to positive faces, and recall positive memories more readil…
A computational approach to understanding complex systems by simulating the behavior of individual agents following simple rules—and observing the emergent system-level patterns that arise from their interactions
Many small units, each following the same short list of local rules, with no rule anywhere describing the pattern you are hoping to see. You set the rules and the starting arrangement, run it forward, and the group behavior appears or does not. This is the sub-mode that can surprise its own author, which is also the warning attached to it: a pattern that emerges from rules you invented is a property of your rules.
Numbered steps, a decision at some of them, and an explicit stopping condition. No machine required, which means it can run in your head in the middle of a point or a meeting. The stop condition is the part people leave out, and it is the part that makes the steps a procedure rather than a list.
Write the information as an explicit step-by-step procedure or bit of code that anyone can re-run and get the same answer. Best when a judgment must repeat identically across cases; useless when the goal itself is fuzzy or the assumptions stay unspoken.
Step-by-step procedures for solving specific classes of problems or performing computations—the fundamental building blocks of computer science and, more broadly, of any SYSTEMATIC approach to problem-solving
Write out an explicit pair list: each piece of the familiar domain matched to the piece in the new one that does the same job. Match by function in the system, never by what things look like or are called.
Asks whether the thing you named is an end you actually care about, or just something easy to count. Trace it upward: if you hit it perfectly and still feel nothing changed, you named an activity, a borrowed metric, or a stand-in.
Pick one attribute every item has, then order and register all items on it so the same detail sits in the same spot for each. Comparing becomes reading straight down one column. It scales past two items to the whole set.
Puts a ceiling on how fast you may move, stated as a rate: how much more per week, how many sessions, how long between them. Order can be right and the tempo still wrong.
The same ribbons, repeated across three or more time steps, with the stacking order free to change. Categories keep their identity while their thickness moves, so a stream that is quietly taking over crosses over the top of the one it replaced. The crossing is the signal.
The tendency to evaluate an option against a single alternative (usually the status quo) rather than against ALL available alternatives—producing decisions that are better than doing nothing but far worse than the best a…