HL AI · Functions
Updated October 2026
Quick answer: Choose the function family from the shape and the context: linear for a constant rate, exponential for growth or decay by a constant factor, logistic for growth that levels off at a limit, sinusoidal for repeating patterns and piecewise when the rule changes at a boundary. Then fit the parameters with regression or given values, and check the model makes sense in context.
Open the full HL AI engine — every question in this unit is worked through with instant AI-graded feedback on your handwritten workings.
Practise HL AI Functions →A population of fish in a lake is modelled by P(t) = 1000 ÷ (1 + 9e−0.4t), where t is in years. Find the initial population and the long-term population, and the time when the population reaches 500.
Answer: Initially 100 fish; long term 1000 fish; 500 fish after about 5.49 years.
A GDC is allowed on every AI paper. Keystrokes for the TI-84 Plus CE, TI-Nspire CX II and Casio fx-CG50, with a checked worked example:
TOK link: If every mathematical model leaves something out, how can models produce knowledge?
Stretch yourself: original algebra problems at Senior level (ages 16 to 18), with hints and full solutions: Problem S24 · Problem S88 · Problem S23 · Problem S87. All 22 →
An exponential model grows by the same factor each time period and has no limit. A logistic model starts in almost the same way but slows down and levels off at a carrying capacity, so it suits populations and sales that have a natural limit.
On the Advanced Modelling questions page: 37 exam-style HL AI questions with full mark schemes, plus free step-by-step worked examples.
Yes: a GDC is allowed on every HL AI paper, so practise the calculator method as well as the working. The Graphs: intersections, zeros, max and min guide gives the keystrokes for the TI-84 Plus CE, TI-Nspire CX II and Casio fx-CG50.
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