Heuristic Search Strategies - Local Search and Optimization Problems - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(d): Heuristic Search Strategies - Local Search and Optimization Problems
The problems whose algorithm take an unreasonably large amount of resources (time and/or space) are called intractable.
Heuristic Search Strategies - Local Search and Optimization Problems - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(d): Heuristic Search Strategies - Local Search and Optimization Problems
Earlier algorithms we have seen are offline search algorithms. They compute a complete solution before setting foot in the real world, and then execute the solution without considering new percepts.
Heuristic Search Strategies - Local Search and Optimization Problems - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(d): Heuristic Search Strategies - Local Search and Optimization Problems
As we know that environment can be descrete or continuous, but the most real-world environment are continuous.
Heuristic Search Strategies - Local Search and Optimization Problems - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(d): Heuristic Search Strategies - Local Search and Optimization Problems
The search algorithms we have seen so far, more often concentrate on path through which the goal is reached. But if the problem does not demand the path of the solution
Heuristic Search Strategies - Local Search and Optimization Problems - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(d): Heuristic Search Strategies - Local Search and Optimization Problems
In the previous chapter 3 we have seen the concept of uninformed or blind search strategy. Now we will see more efficient search strategy, the informed search strategy.
Uninformed Search Strategies - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(c): Uninformed Search Strategies
Discuss any 2 uninformed search methods with examples.
Uninformed Search Strategies - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(c): Uninformed Search Strategies
1) Completeness - Does the algorithm (solving procedure) surely finds solution, how if really the solution exists.2) Optimality - If multiple solutions exist then do the algorithm returns optimal amongs them.3) Time requirement.
Uninformed Search Strategies - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(c): Uninformed Search Strategies
Design is a signature of human intelligence. It was more difficult and big challenge for AI. Designs shaped early ideas on automated problem solving and reasoning.
Uninformed Search Strategies - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(c): Uninformed Search Strategies
All the earlier search strategies we have seen, assumed that environment is fully observable and deterministic.
Uninformed Search Strategies - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(c): Uninformed Search Strategies
When we are finding solution by searching in state space tree, some states can be repeatedly explored. This will increase the total cost. Hence we need to avoid repeated states.
Uninformed Search Strategies - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(c): Uninformed Search Strategies
Control strategy is a strategy by which one come to know which rule is to be applied hold- next during the process of reaching for a solution to problem.
Uninformed Search Strategies - Artificial Intelligence and Machine Learning
Subject and UNIT: Artificial Intelligence and Machine Learning: Unit I(c): Uninformed Search Strategies
At every stage in state space generating algorithms we need to apply searching procedure so as to reach to goal state. Search is a systematic examination at states to find path from the root state (initial state) to the goal state.