Automatic Planning – Chapter 7: Heuristic Search
... admissible heuristics for Π. We say that h1 , . . . , hn are additive if h1 + · · · + hn is admissible, i.e., for all states s in Π we have h1 (s) + · · · + hn (s) ≤ h∗ (s). → An ensemble of heuristics is additive if its sum is admissible. Remarks: Example: h1 considers only tiles 1 . . . 7, and h2 ...
... admissible heuristics for Π. We say that h1 , . . . , hn are additive if h1 + · · · + hn is admissible, i.e., for all states s in Π we have h1 (s) + · · · + hn (s) ≤ h∗ (s). → An ensemble of heuristics is additive if its sum is admissible. Remarks: Example: h1 considers only tiles 1 . . . 7, and h2 ...
Automatic Planning – Chapter 7: Heuristic Search
... Definition (Heuristic Function). Let Π be a planning task with state space ΘΠ = (S, L, c, T, I, S G ). A heuristic function, short heuristic, for Π is a function h : S 7→ R+ 0 ∪ {∞}. Its value h(s) for a state s is referred to as the state’s heuristic value, or h value. Definition (Remaining Cost, h ...
... Definition (Heuristic Function). Let Π be a planning task with state space ΘΠ = (S, L, c, T, I, S G ). A heuristic function, short heuristic, for Π is a function h : S 7→ R+ 0 ∪ {∞}. Its value h(s) for a state s is referred to as the state’s heuristic value, or h value. Definition (Remaining Cost, h ...
Probabilistic Aspects of Computer Science
... message sent by p is always the list of predecessors with possible repetition if the length is greater than the size of the ring. The three functions have in common that at least for one symmetrical configuration, every process must receive a trace of length n − 1 before deciding the value of the fu ...
... message sent by p is always the list of predecessors with possible repetition if the length is greater than the size of the ring. The three functions have in common that at least for one symmetrical configuration, every process must receive a trace of length n − 1 before deciding the value of the fu ...
LAO*: A heuristic search algorithm that finds solutions with loops
... state. At the beginning of each trial, the current state is set to the start state. A trial ends when the goal state is reached, or after a specified number of steps. An important feature of trial-based RTDP is that the evaluation function is only updated for states that are reached from the start s ...
... state. At the beginning of each trial, the current state is set to the start state. A trial ends when the goal state is reached, or after a specified number of steps. An important feature of trial-based RTDP is that the evaluation function is only updated for states that are reached from the start s ...
Lecture 11
... i.e., when the valuation function depends on the CS, it is still possible to use some algorithms, e.g., the one proposed in [56], but the guarantee of being within a bound from the optimal is no longer valid. Sen and Dutta use genetic algorithms techniques [85] to perform the search. The use of such ...
... i.e., when the valuation function depends on the CS, it is still possible to use some algorithms, e.g., the one proposed in [56], but the guarantee of being within a bound from the optimal is no longer valid. Sen and Dutta use genetic algorithms techniques [85] to perform the search. The use of such ...
What`s Hot in Heuristic Search?
... search away from a goal (known as a local minimum). Xie et al. explain theoretically this weakness of GBFS, showing that multiple small uninformative heuristic regions (UHR) – i.e., plateaus or local minima – can cause GBFS to “become stuck in the union of many distinct UHRs from different parts of ...
... search away from a goal (known as a local minimum). Xie et al. explain theoretically this weakness of GBFS, showing that multiple small uninformative heuristic regions (UHR) – i.e., plateaus or local minima – can cause GBFS to “become stuck in the union of many distinct UHRs from different parts of ...
Best-First Heuristic Search for Multicore Machines Ethan Burns .
... ordered list as developed by Harris (2001). These lock-free data structures used to implement LPA* require a special lock-free memory manager that uses reference counting and a compare-and-swap based stack to implement a free list (Valois, 1995). We will see that, even with these sophistocated struc ...
... ordered list as developed by Harris (2001). These lock-free data structures used to implement LPA* require a special lock-free memory manager that uses reference counting and a compare-and-swap based stack to implement a free list (Valois, 1995). We will see that, even with these sophistocated struc ...
Maximizing over Multiple Pattern Databases Speeds up Heuristic
... frame containing a set of numbered square tiles, and an empty position called the blank. The legal operators are to slide any tile that is horizontally or vertically adjacent to the blank into the blank position. The problem is to rearrange the tiles from some random initial configuration into a par ...
... frame containing a set of numbered square tiles, and an empty position called the blank. The legal operators are to slide any tile that is horizontally or vertically adjacent to the blank into the blank position. The problem is to rearrange the tiles from some random initial configuration into a par ...
Introduction to Artificial Intelligence (Undergraduate Topics in
... not covered in detail. The field of image processing, which is important for all of computer science, is a stand-alone discipline with very good textbooks, such as [GW08]. Natural language processing has a similar status. In recognizing and generating text and spoken language, methods from logic, pr ...
... not covered in detail. The field of image processing, which is important for all of computer science, is a stand-alone discipline with very good textbooks, such as [GW08]. Natural language processing has a similar status. In recognizing and generating text and spoken language, methods from logic, pr ...
Measuring Inconsistency through Minimal Inconsistent Sets
... can be described as being one of the following two approaches. The first approach involves “counting” the minimal number of formulae needed to produce the inconsistency in a set of formulae. The more formulae needed to produce the inconsistency, the less inconsistent the set (Knight 2001). This idea ...
... can be described as being one of the following two approaches. The first approach involves “counting” the minimal number of formulae needed to produce the inconsistency in a set of formulae. The more formulae needed to produce the inconsistency, the less inconsistent the set (Knight 2001). This idea ...
State-set branching: Leveraging BDDs for heuristic search
... Indeed during the last decade, remarkable results have been obtained using reduced ordered Binary Decision Diagrams (BDDs [9]) as the Boolean function representation. Systems with more than 10100 states have been successfully verified with the BDD-based model checker SMV [42]. For several reasons, h ...
... Indeed during the last decade, remarkable results have been obtained using reduced ordered Binary Decision Diagrams (BDDs [9]) as the Boolean function representation. Systems with more than 10100 states have been successfully verified with the BDD-based model checker SMV [42]. For several reasons, h ...
