Planning with Partially Specified Behaviors
... framework for combining planning and reinforcement learning. As previously mentioned, PPSB as PLANQ-learning method decomposes a sequential decision problem into a set of tasks and uses reinforcement learning to learn the policy of each individual task. At the top level, PPSB uses classical planning ...
... framework for combining planning and reinforcement learning. As previously mentioned, PPSB as PLANQ-learning method decomposes a sequential decision problem into a set of tasks and uses reinforcement learning to learn the policy of each individual task. At the top level, PPSB uses classical planning ...
Connecting Conscious and Unconscious - Axel Cleeremans
... input/output systems. Knowledge (either “programs” or “data”) is represented symbolically. Bates and Elman (1993) dubbed this perspective on cognition “The First Computer Metaphor of Cognition” and characterized it as follows (p. 630): At its core, the serial digital computer is a machine that manip ...
... input/output systems. Knowledge (either “programs” or “data”) is represented symbolically. Bates and Elman (1993) dubbed this perspective on cognition “The First Computer Metaphor of Cognition” and characterized it as follows (p. 630): At its core, the serial digital computer is a machine that manip ...
Example – Backward Chaining - Teaching-WIKI
... positive – Important because Horn clauses can be written as an implication whose premise is a conjuction of positive literals and whose conclusion is a single positive literal ...
... positive – Important because Horn clauses can be written as an implication whose premise is a conjuction of positive literals and whose conclusion is a single positive literal ...
Example – Backward Chaining - Teaching-WIKI
... positive – Important because Horn clauses can be written as an implication whose premise is a conjuction of positive literals and whose conclusion is a single positive literal ...
... positive – Important because Horn clauses can be written as an implication whose premise is a conjuction of positive literals and whose conclusion is a single positive literal ...
Current advances and pressing problems in studies of stopping
... a model network of interacting GO and STOP units with randomly accumulating activation ([37!!] see also [38]). The model fits performance data and replicates neural data if and only if the STOP unit inhibits the GO unit in a delayed and potent fashion (Figure 2B). Thus, a neurally plausible mechanis ...
... a model network of interacting GO and STOP units with randomly accumulating activation ([37!!] see also [38]). The model fits performance data and replicates neural data if and only if the STOP unit inhibits the GO unit in a delayed and potent fashion (Figure 2B). Thus, a neurally plausible mechanis ...
Multiplication and stimulus invariance in a looming
... Invariant visual responses have for example been described in the inferotemporal cortex of macaque monkeys, where many neurons respond to specific objects with an increase in mean firing rate that is largely independent of object size or position in the visual field [62,71]. Such invariance properties ...
... Invariant visual responses have for example been described in the inferotemporal cortex of macaque monkeys, where many neurons respond to specific objects with an increase in mean firing rate that is largely independent of object size or position in the visual field [62,71]. Such invariance properties ...
On the analysis of musical expression in audio
... the performance, which the musicians then instantiate by continuously adjusting various parameters of the music in order to convey high-level information such as musical structure and emotion. Although expression is necessarily contained in the physical features of the audio signal, such as amplitud ...
... the performance, which the musicians then instantiate by continuously adjusting various parameters of the music in order to convey high-level information such as musical structure and emotion. Although expression is necessarily contained in the physical features of the audio signal, such as amplitud ...
The Non-Action-Centered
... If an action implicitly decided by the bottom level is successful, then the agent extracts an explicit rule that corresponds to the action selected by the bottom level and adds the rule to the top level. Then, in subsequent interactions with the world, the agent verifies and modifies the extracted r ...
... If an action implicitly decided by the bottom level is successful, then the agent extracts an explicit rule that corresponds to the action selected by the bottom level and adds the rule to the top level. Then, in subsequent interactions with the world, the agent verifies and modifies the extracted r ...
Predictive Coding: A Possible Explanation of Filling
... (HPC)of natural images, which has, recently, gained growing support as the general coding principle of visual cortex [14–24] (For an excellent review see [25]). The root of Hierarchical predictive coding lies in the probabilistic hierarchical generative model and the efficient coding of natural imag ...
... (HPC)of natural images, which has, recently, gained growing support as the general coding principle of visual cortex [14–24] (For an excellent review see [25]). The root of Hierarchical predictive coding lies in the probabilistic hierarchical generative model and the efficient coding of natural imag ...
Deductive Reasoning
... the conditional claim: Every card which has a D on one side has a 3 on the other side. Subjects are then asked which cards they need to turn over to determine whether the conditional is true. The correct answer is the D and 7 cards, since the only way to falsify the conditional is for a card to have ...
... the conditional claim: Every card which has a D on one side has a 3 on the other side. Subjects are then asked which cards they need to turn over to determine whether the conditional is true. The correct answer is the D and 7 cards, since the only way to falsify the conditional is for a card to have ...
Intelligent agents capable of developing memory of their environment
... each part are generated along with the morphological structure. Rust and Adams devised a developmental model coupled with a genetic algorithm to evolve parameters that grow into artificial neurons with biologicallyrealistic morphologies [Rust et al., 2000], [Rust and Adams, 1999]. They also investig ...
... each part are generated along with the morphological structure. Rust and Adams devised a developmental model coupled with a genetic algorithm to evolve parameters that grow into artificial neurons with biologicallyrealistic morphologies [Rust et al., 2000], [Rust and Adams, 1999]. They also investig ...
