C.40:4.6 - Develop a set of challenges and ways of handling them

Use this branch when choosing the next challenge and finding a way to handle it need to inform one another. A fixed exercise sequence may repeat what is already easy or jump beyond every available way. Improving one candidate in one situation may also miss a construction already useful elsewhere. The result sought is a small set of worthwhile challenges with usable candidate ways, examined transfers between them, and a justified next development or receiving use.

Start from one usable challenge and the way being tried on it. Recover the challenge’s inputs, required result and conditions, the candidate operation, and how an attempt can be judged. Make a small feasible variation through §4.1. Keep the original challenge and candidate available until the new comparison settles what to retain. A domain operation must supply the changed material: for example, a programmer changes an input grammar or an exercise designer changes an available tool. An instruction to generate novelty supplies neither operation.

Choose a challenge worth developing. Examine proposed changes on three different grounds. First, is the task meaningful and is its required result assessable? Second, is there a plausible attainable development step with the available ways and means? Third, would learning to handle this case add a consequential distinction, construction or possible use beyond what the retained cases already supply? An attractive but currently inaccessible task can be kept for a stated later question; a trivial variation can remain a regression case without receiving more development work. Use C.17 for a stronger novelty or usefulness claim, keeping its comparison basis explicit.

Estimate attainability by trying the inherited way or another inexpensive candidate. In a setting with a graded outcome, a declared band can help avoid spending all effort on trivial or wholly inaccessible cases. In another setting, use a worked partial result, known prerequisite or failure mechanism instead. Failure by current candidates establishes their limit in that attempt, not impossibility of the task. Preserve the unresolved premise when the attempt cannot distinguish inadequate means from an invalid challenge.

When task generation also creates its judge or reward, examine the connection before using the score. Recover what successful action must accomplish, whether the generated situation permits it, and what observations would distinguish accomplishment from exploiting the scoring rule. A successful execution check shows that the task runs under the checked conditions; whether its reward or success check measures the described task needs separate grounds. Use an independently grounded contrast case, a domain model or a supplied requirement for that distinction; A.19.ECS develops a missing evaluation. If no adequate ground is obtainable, keep the task and evaluation as a proposal rather than call its score success. If another task is preferred because a model calls it interesting, retain that model judgement as a selection aid and identify the human or practical reason for relying on it.

Separate three returns from this examination. If the task cannot be executed, repair its construction or discard it at the chosen effort limit. If it executes but adds no worthwhile distinction, propose another task. If it is worthwhile but not yet handled, examine the missing prerequisite, ineffective feedback or candidate limitation before making it harder. A task made easier by supplying a prerequisite can focus development on the next operation; do not credit the candidate with obtaining what the setup already supplied. A progress reward can guide attempts while a separate result condition establishes success. Both still need grounds.

When there is a fixed receiving use, compare progress on development tasks with results in that use. High local success with low receiving performance calls for a transfer or representativeness inquiry. Low local success despite adequate receiving performance can expose an unnecessary or malformed exercise. Change a named condition on that evidence and recheck the connection; automatic escalation after every success misses these alternatives. Keep representative receiving trials in view during development, and retain a separate examination for any stronger final claim. A repertoire of interesting tasks and improved performance on one receiving task are different possible results.

Improve locally, then test useful connections. Develop each selected way in its current challenge far enough to obtain an interpretable result. Keep unlike successful constructions and informative failures available. Try a transfer when a retained operation, artifact or starting configuration could supply a missing contribution in another challenge. Test it against that recipient’s own incumbent and result conditions. Compare direct reuse first when meaningful; try a bounded adaptation when its possible benefit warrants the work. Passing the source task alone does not choose the target’s replacement. When the transferred object is a description for a person, allow for acquisition, practice and support instead of assuming that copying the description transfers performance.

Use the target comparison to keep the incumbent, replace it for that use, retain several situation-specific alternatives, or return a missing contribution. A transferred result that makes a proposed challenge already easy can change the earlier decision to spend development effort there: recheck that decision after transfer. The challenge may now serve as a regression case or as a parent for another variation. Preserve its solved result even when it leaves active development.

When one way must retain the whole repertoire. Choose this arrangement when the receiving use needs the same candidate to handle several tasks. Continue developing that candidate across them rather than treating separately successful specialists as its combined ability. Keep earlier and current outcomes on the tasks whose retention matters, under comparable conditions. After work on a new task, examine whether the same candidate improved there, lost a previously useful result elsewhere, or merely produced a noisy fluctuation. Use repeated trials when uncertainty could change the decision, or an exact result or discriminating case when that establishes the change. A success rate near one half can reflect random difficulty without any improvement; task difficulty alone is not learning progress.

Use that comparison to choose the next development work. Return a still-needed task on which performance was lost to the training, practice or repair inputs. Include a promising new task when its possible acquisition warrants the effort, and keep enough work on the receiving use to prevent local gains from displacing it. Recently mastered tasks can receive less attention while protected comparisons still check them; a stale result needs renewed examination before it justifies omission. Interestingness can help choose among feasible acquisitions, but does not excuse losing a required old result. The mixture and frequency depend on cost, uncertainty, forgetting or regression risk and the result required; no fixed proportion applies to every use.

Perform the available learning or repair operation with those chosen tasks, then examine the changed common candidate on the affected old and new tasks and on the receiving use. Update the next allocation from that evidence. Retain the previous candidate when it is needed for comparison or recovery. If a change repeatedly trades one required result for another, investigate the conflicting requirements or the candidate’s means; alternatives include a richer common operation, explicit situation-specific dispatch, or a justified narrower use. Further resampling alone supplies none of those missing constructions. Stop when the shared result is sufficient or the next acquisition and its retention burden are not worthwhile. An independently reserved final examination remains separate from cases repeatedly used to select these changes.

Compare challenges by what matters to continuation. A fixed task parameterization can describe relevant differences cheaply. When appearance or generator parameters miss them, examine how the same available ways perform on the tasks. A task on which one way succeeds and another fails can reveal a different opportunity from one where all behave alike. Recover the indexed ways and common evaluation conditions behind that response profile. It is relative to that repertoire: replacing a member can change which tasks look alike. Update the affected comparisons rather than treat an old descriptor as a permanent property of the task. Different generating encodings and different characterizations can serve different purposes; changing one does not automatically change the other.

Retain enough to continue, and choose where effort stops. Keep the task material, its evaluation grounds, the candidate way, outcomes and any adaptation needed for the useful next attempt. Preserve a failed task when its diagnosed obstacle could become tractable with another operation. Feed that obstacle and the useful differences from solved tasks into the next task proposal; a list of successful titles alone can invite repetition or another inaccessible jump. An archive of separately successful specialists does not establish that one way handles every task. Test that stronger receiving requirement with one candidate under the relevant tasks if it matters. Separate cheap retention from continued optimization; C.18 supplies stronger archive and lineage claims, and C.19 supplies a decision about funding several continuing lines. Bound the number of live tasks and the work spent trying transfers by the contribution sought and total burden. A cheaper fixed suite, direct specification or a known curriculum can finish the work when it already supplies the result.

This development need not reformulate the meaning of the receiving problem at every step. Use C.40.CD when a failed condition or new construction changes the answer that is now worth obtaining. Use §4.5 when a challenge must respond to the candidate during interaction. Keep evaluation repair under E.23:4.1a/A.19.ECS:4.5. Those returns allow one useful result to continue through a different operation without making all branches compulsory.