Strategies for space search- Data driven and Goal driven

Goal driven search is suggested if :

1. A goal is given in the problem statement or can easily be formulated. In a mathematics theorem prover, for example, the goal is the theorem to be proved. Many diagnostics system consider potential diagnoses in a systematic fashion.
2. There are large no. of rules that match the facts of the problem and thus produce an increase in no of conclusions or goals.In a mathematics theorem prover, for example, the total no of rules that may be applied to the entire set of axioms.
3. Problem data are not given and must be acquired by the problem solver.In a medical diagnosis program,for example, a wide range of diagnostic tests can be applied.Doctors order only those that are necessary to confirm or deny a particular hypothesis.

Data driven search

1. All or most of the data are given in the initial problem statement.Interpretation problems often fit this mold by presenting a collection of data and asking the system for interpretation.
2. There are large no. of potential goals,but there are only a few ways to use the facts and given information of a particular problem instance.
3. It is difficult to form a goal or hypothesis.
   

Data driven search uses the knowledge and constraints found in the given data to guide search along lines known to be true