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By developing collaborative learning algorithms, a learning task solution can be achieved significantly faster if performed by a single agent only, namely the number of learning episodes to solve a task is reduced.
Therefore fire safety of such objects becomes a very important task, solution of which is hardly possible without detail fire risk assessment.
In the present study we investigated to what extent eye movements recorded during task solution reflect children's use of the number line.
Substantiation of design parameters of sodium-cooled fast reactor facilities (BN RF) in normal operation modes represent an important task solution of which is necessary for determining safe and optimal reactor operation conditions.
And, the internal pressure of canister reduces with foam injection for the task solution.
The "familiarity" of the situations seems to be neither conducive to nor hindering of the task solution.
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Several examples of contact task solutions in robotics that are linked with active systems are also presented.
In this paper, techniques will be presented that enable representation of common extendable action knowledge for task solutions in an agent's knowledge base and additionally, algorithms for propagating this knowledge between agents efficiently and with minimum required communication effort.
In total, 44 birds (out of the 50 birds used in the aviary groups) performed 1263 task solutions according to their taught foraging technique.
Solving of the task these birds were not trained on was very rare: it occurred in only 23 of the 2222 task solutions scored across all aviary groups, representing 1.03% of all well openings.
However, this same redundancy may also cause conflict, which, in turn, requires task solutions to be carried out under the guidance of special rules implemented by specialized agents (for examples, see [4], [6], [11], [12]).
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