Evolving Real-time Heuristic Search Algorithms
... S | vA (s ) ≥ 1} as τ (A, S) = |Svisited | s∈Svisited vA For instance, τ (LRTA*, S) = 7.5 means that while solving problem S, on average the agent driven by the LRTA* algorithm visited a state 7.5 times (states that were not visited at all do not contribute to the average). Lower values of τ (S) are ...
... S | vA (s ) ≥ 1} as τ (A, S) = |Svisited | s∈Svisited vA For instance, τ (LRTA*, S) = 7.5 means that while solving problem S, on average the agent driven by the LRTA* algorithm visited a state 7.5 times (states that were not visited at all do not contribute to the average). Lower values of τ (S) are ...
Evolutionary game theory, interpersonal comparisons and natural
... employed evolutionary game theory (EGT) in their disciplines. Yet the formal framework of EGT had been developed by biologists, with a firm focus on a population genetics interpretation. So the question arose how and to what extent this framework required re-interpretation to be applicable in the so ...
... employed evolutionary game theory (EGT) in their disciplines. Yet the formal framework of EGT had been developed by biologists, with a firm focus on a population genetics interpretation. So the question arose how and to what extent this framework required re-interpretation to be applicable in the so ...
Evolutionary game theory, interpersonal comparisons and natural
... employed evolutionary game theory (EGT) in their disciplines. Yet the formal framework of EGT had been developed by biologists, with a firm focus on a population genetics interpretation. So the question arose how and to what extent this framework required re-interpretation to be applicable in the so ...
... employed evolutionary game theory (EGT) in their disciplines. Yet the formal framework of EGT had been developed by biologists, with a firm focus on a population genetics interpretation. So the question arose how and to what extent this framework required re-interpretation to be applicable in the so ...
Metareasoning in Real-time Heuristic Search
... Because each search iteration is taking place under a time constraint, a real-time search must be careful about its use of computation time. After performing some amount of lookahead, a real-time search will have identified a most promising state on the search frontier, along with the path leading t ...
... Because each search iteration is taking place under a time constraint, a real-time search must be careful about its use of computation time. After performing some amount of lookahead, a real-time search will have identified a most promising state on the search frontier, along with the path leading t ...
Top-Down Induction of Decision Trees Classifiers – A Survey
... domain, whereas classifiers map the input space into predefined classes. For instance, classifiers can be used to classify mortgage consumers to good (fully payback the mortgage on time) and bad (delayed payback). There are many alternatives to represent classifiers. The decision tree is probably th ...
... domain, whereas classifiers map the input space into predefined classes. For instance, classifiers can be used to classify mortgage consumers to good (fully payback the mortgage on time) and bad (delayed payback). There are many alternatives to represent classifiers. The decision tree is probably th ...
Conflict-Based Search For Optimal Multi
... The high-level of CBS is shown in Algorithm 1. It has the structure of a best-first search. We cover it using the example in Figure 1(i), where the mice need to get to their respective pieces of cheese. The corresponding CT is shown in Figure 1(ii). The root contains an empty set of constraints. The ...
... The high-level of CBS is shown in Algorithm 1. It has the structure of a best-first search. We cover it using the example in Figure 1(i), where the mice need to get to their respective pieces of cheese. The corresponding CT is shown in Figure 1(ii). The root contains an empty set of constraints. The ...
How to model mutually exclusive events based on independent
... between those nodes for which there is a causal or evidential relationship. Every node has an associated conditional probability table (CPT); for any node without parents the CPT specifies the prior probabilities of each of the node states, while for any node with parents the CPT captures the prior ...
... between those nodes for which there is a causal or evidential relationship. Every node has an associated conditional probability table (CPT); for any node without parents the CPT specifies the prior probabilities of each of the node states, while for any node with parents the CPT captures the prior ...
Uncertainty Handling for Sensor Location Estimation in Wireless
... GPS receiver. Nevertheless, this method does not seem to be feasible in many cases, which is due to the fact that most sensor nodes are battery operated and cannot be recharged because of deployment in harsh and remote environments [4]. To solve this constraint, researchers have developed many local ...
... GPS receiver. Nevertheless, this method does not seem to be feasible in many cases, which is due to the fact that most sensor nodes are battery operated and cannot be recharged because of deployment in harsh and remote environments [4]. To solve this constraint, researchers have developed many local ...
Survey on Heuristic Search Techniques to Solve Artificial
... Combinatorial Search algorithm. Unlike the other parallel search algorithms the Autonomous Parallel Heuristic Combinatorial Search does not simply divide the search space among the processors which are available. The basic idea behind this Autonomous Parallel branch and bound Search algorithm is tha ...
... Combinatorial Search algorithm. Unlike the other parallel search algorithms the Autonomous Parallel Heuristic Combinatorial Search does not simply divide the search space among the processors which are available. The basic idea behind this Autonomous Parallel branch and bound Search algorithm is tha ...
