Search results
Results from the WOW.Com Content Network
Double-loop learning recognises that the way a problem is defined and solved can be a source of the problem. [1] This type of learning can be useful in organizational learning since it can drive creativity and innovation , going beyond adapting to change to anticipating or being ahead of change.
DSRP has been used to apply systems thinking to the fields of evaluation and program planning, including a National Science Foundation-funded initiative to evaluate of large-scale science, technology, engineering, and math education programs, [17] as well as evaluations of the complexity science education programs of the Santa Fe Institute.
A loop is Osborn if it satisfies the identity x((yz)x) = (x λ \y)(zx). Is every Osborn loop universal, that is, is every isotope of an Osborn loop Osborn? If not, is there a nice identity characterizing universal Osborn loops? Proposed: by Michael Kinyon at Milehigh conference on quasigroups, loops, and nonassociative systems, Denver 2005
Double-loop learning (see diagram below) is used when it is necessary to change the mental model on which a decision depends. Unlike single loops, this model includes a shift in understanding, from simple and static to broader and more dynamic, such as taking into account the changes in the surroundings and the need for expression changes in ...
Closer to the Collatz problem is the following universally quantified problem: Given g, does the sequence of iterates g k (n) reach 1, for all n > 0? Modifying the condition in this way can make a problem either harder or easier to solve (intuitively, it is harder to justify a positive answer but might be easier to justify a negative one).
In ASP, search problems are reduced to computing stable models, and answer set solvers—programs for generating stable models—are used to perform search. The computational process employed in the design of many answer set solvers is an enhancement of the DPLL algorithm and, in principle, it always terminates (unlike Prolog query evaluation ...
Solution of a travelling salesman problem: the black line shows the shortest possible loop that connects every red dot. In the theory of computational complexity, the travelling salesman problem (TSP) asks the following question: "Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the ...
When problems arise, the proposed solutions often turn out to be only short-term (single-loop learning instead of double-loop learning) and re-emerge in the future. [6] To remain competitive, many organizations have restructured, with fewer people in the company. [1] This means those who remain need to work more effectively. [3]