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Disjunctive tasks require group members to determine a single solution for the entire group. Disjunctive tasks are also categorized as unitary and optimizing (in contrast to additive tasks). [ 2 ] Examples provided in Forsyth's summary of Steiner's work include picking one person's answer to a math problem to be the group's answer and letting ...
A valid schedule for the disjunctive graph may be obtained by finding an acyclic orientation of the undirected edges – that is, deciding for each pair of non-simultaneous tasks which is to be first, without introducing any circular dependencies – and then ordering the resulting directed acyclic graph. In particular, suppose that all tasks ...
The disjunctive graph [5] is one of the popular models used for describing the job-shop scheduling problem instances. [6] A mathematical statement of the problem can be made as follows: Let = {,, …,} and = {,, …,} be two finite sets.
Disjunctive programs have many applications, including ordering of tasks in a production process, organizing complex projects in a time saving manner and choosing the optimal route in a circuit. Procedures for linear and nonlinear disjunctive programming extensions are implemented within EMP.
Directed edges may be used to model precedence constraints, in which one task must be performed before another. A graph defined in this way from a scheduling problem is called a disjunctive graph. The mixed graph coloring problem can be used to find a schedule of minimum length for performing all the tasks. [2]
Conjunctive tasks are tasks where all group members must contribute to the end product in order for it to be completed. [3] On most tasks, a group's performance is the result of a combination of everyone's effort; however, with conjunctive tasks, the group's overall performance depends on the most inferior group member (IGM).
feature based search task. Feature search (also known as "disjunctive" or "efficient" search) [6] is a visual search process that focuses on identifying a previously requested target amongst distractors that differ from the target by a unique visual feature such as color, shape, orientation, or size. [7]
Rules of inference are syntactical transform rules which one can use to infer a conclusion from a premise to create an argument. A set of rules can be used to infer any valid conclusion if it is complete, while never inferring an invalid conclusion, if it is sound.