Action selection is a way of characterizing the most basic problem of intelligent systems: what to do next. In artificial intelligence and computational...

Simultaneous action selection, or SAS, is a game mechanic that occurs when players of a game take action (such as moving their pieces) at the same time...

intelligence, a behavior selection algorithm, or action selection algorithm, is an algorithm that selects appropriate behaviors or actions for one or more intelligent...

responsible for motor action selection, but also for the selection of more cognitive actions. Computational models of action selection in the basal ganglia...

starting from the current state. Q-learning can identify an optimal action-selection policy for any given finite Markov decision process, given infinite...

activity in the striatum to mediate action selection, as observed by Kaiser. CNET is applicable to those neurons as a selection mechanism for that function,...

popularised the term "natural selection", contrasting it with artificial selection, which is intentional, whereas natural selection is not. Variation of traits...

mechanics are the rules or ludemes that govern and guide the player's actions, as well as the game's response to them. A rule is an instruction on how...

direction to navigate in its environment. Action selection studies deal with negative or positive weighting to an action and its outcome. Neurorobots can and...

propose that the basal ganglia play a central role in action selection. The action selection theory in its simplest form proposes that when a person...

common mechanism of action for natural selection because most traits do not appear to change drastically over time. Stabilizing selection commonly uses negative...

has been widely applied in behavior-based robotics as a method of action selection for intelligent agents. Winner-take-all systems work by connecting...

forebrain. The primary function of the basal ganglia appears to be action selection: they send inhibitory signals to all parts of the brain that can generate...

problem (how are actions executed?). Decisional or high-level AI deals with the action selection problem (what is the most appropriate action in response to...

Selection (German: Selektion) was the process of designating inmates either for murder or forced labor at a Nazi concentration camp. The arrival selection...

special consideration in selection processes. In the United States, affirmative action by executive order originally meant selection without regard to race...

co-author Eye Benders (Ivy Press, 2013) - Consultant Modelling Natural Action Selection (Cambridge University Press, 2011) - Editor and co-author Seth appeared...

expert systems and action selection. Productions consist of two parts: a sensory precondition (or "IF" statement) and an action (or "THEN"). If a production's...

In economics, insurance, and risk management, adverse selection is a market situation where buyers and sellers have different information. The result...

Feature selection is the process of selecting a subset of relevant features (variables, predictors) for use in model construction. Stylometry and DNA...

use past experience to find out which actions lead to higher cumulative rewards. The agent's action selection is modeled as a map called policy: π :...

not be entirely beneficial. The utility-based action bias is the opposite of the goal-based action selection, which aims at completing a goal without taking...

theories are action selection and reinforcement learning. The action selection hypothesis suggest that frontalcortex generates possible actions and the striatum...

the world, subsumption architecture couples sensory information to action selection in an intimate and bottom-up fashion.: 130  It does this by decomposing...

neuropsychiatry, including action observation, mirror neurons, saccades and visual search, eye movements, sleep, illusions, attention, action selection, consciousness...

that switching doors is a different action from choosing between the two remaining doors at random, as the former action uses the previous information and...

This is where the selection theorems come into action: they guarantee that, if F satisfies certain properties, then it has a selection f that is continuous...

improvements can be achieved by a softmax-weighted action selection in case of exploratory actions (Tokic & Palm, 2011). Adaptive epsilon-greedy strategy...

for instance of actions for the good of the species. In the 1930s, R.A. Fisher and J.B.S. Haldane proposed the concept of kin selection, a form of altruism...

any learning system: a reward function, incremental action value functions and action selection methods. Rewards work best in motivating learning when...