AAAI Proceedings Template - Department of Communication and
... selection paradigm have only one primary task that they need accomplish at any given time: to choose their next action. Consequently, modeling the current situation effectively is a critical task for any agent. With an accurate model of the current situation, actions can be better selected. We propo ...
... selection paradigm have only one primary task that they need accomplish at any given time: to choose their next action. Consequently, modeling the current situation effectively is a critical task for any agent. With an accurate model of the current situation, actions can be better selected. We propo ...
Learning Datalog Programs from Input and Output
... where I and J are interpretations (an interpretation is a set of propositional atoms). This learning task is, for a given set E of examples, to find a normal logic program P such that TP (I) = J for every hI, Ji in E. Though, the operator TP [17] is defined for normal logic program, which is more ge ...
... where I and J are interpretations (an interpretation is a set of propositional atoms). This learning task is, for a given set E of examples, to find a normal logic program P such that TP (I) = J for every hI, Ji in E. Though, the operator TP [17] is defined for normal logic program, which is more ge ...
Biomechanics Models Motor Cortex Using Spinal Cord and Limb
... signal nor does it represent motorneuron activity although it is closely related to them. In particular, the relation between muscular force and its control signal is not identical with the dynamics of an anatomical muscle (or with a combined action of several anatomical muscles, in case of a simpli ...
... signal nor does it represent motorneuron activity although it is closely related to them. In particular, the relation between muscular force and its control signal is not identical with the dynamics of an anatomical muscle (or with a combined action of several anatomical muscles, in case of a simpli ...
DMX Strobe Cannon Module
... jack. The Diversitronics Model RC-A singlechannel remote control plugs directly into this jack. Buy any 0 10 voltcontrol source can be connected to this input using the following pin assignments:(two pigtails are provided with each unit) (The +12v source, pin 3, canbe used for stand alone mode) Yell ...
... jack. The Diversitronics Model RC-A singlechannel remote control plugs directly into this jack. Buy any 0 10 voltcontrol source can be connected to this input using the following pin assignments:(two pigtails are provided with each unit) (The +12v source, pin 3, canbe used for stand alone mode) Yell ...
Artificial Intelligence techniques: An introduction to their use for
... where NH is the number of hidden layer nodes, NI is the number of inputs and NTR is the number of training samples (here 365). Training data were from 1985/1986 to 1991/1992. Earlier trials had determined the optimum learning rate and number of training samples. After training, data for November 199 ...
... where NH is the number of hidden layer nodes, NI is the number of inputs and NTR is the number of training samples (here 365). Training data were from 1985/1986 to 1991/1992. Earlier trials had determined the optimum learning rate and number of training samples. After training, data for November 199 ...
LTFeb7
... Handout on project – see me to get one if you were not in class today. Plan due next Wednesday – ½ page briefly describing the behavior to be changed and how you will do it. IMPORTANT – do not use punishment. ...
... Handout on project – see me to get one if you were not in class today. Plan due next Wednesday – ½ page briefly describing the behavior to be changed and how you will do it. IMPORTANT – do not use punishment. ...
This article was originally published in the Encyclopedia of
... of two keys. If the instructions require subjects to press a key with their left hand in response to left-pointing arrows and a key with their right hand in response to right-pointing arrows, the S–R mappings are compatible. If, however, subjects must press a key with their right hand in response to ...
... of two keys. If the instructions require subjects to press a key with their left hand in response to left-pointing arrows and a key with their right hand in response to right-pointing arrows, the S–R mappings are compatible. If, however, subjects must press a key with their right hand in response to ...
Robust Reinforcement Learning Control with Static and Dynamic
... Neural networks as controllers, or neuro-controllers, constitute much of the recent non-LTI control research. Because neural networks are both nonlinear and adaptive, they can realize superior control compared to LTI. However, most neuro-controllers are static in that they respond only to current in ...
... Neural networks as controllers, or neuro-controllers, constitute much of the recent non-LTI control research. Because neural networks are both nonlinear and adaptive, they can realize superior control compared to LTI. However, most neuro-controllers are static in that they respond only to current in ...
View PDF - CiteSeerX
... years. As opposed to classical AI approaches, where the metaphor of intelligence is based on an individual human behaviour and the emphasis is put on knowledge representation and inference methods, the metaphor used in DAI is based on social behaviour, and its emphasis is put on actions and interact ...
... years. As opposed to classical AI approaches, where the metaphor of intelligence is based on an individual human behaviour and the emphasis is put on knowledge representation and inference methods, the metaphor used in DAI is based on social behaviour, and its emphasis is put on actions and interact ...
Footnotes to the flowchart
... a. Has there been a change in volumes and/or reagents in the method? b. Is the analysis performed on another instrument then what is assumed from the manufacturer? c. Is the result modified by… i. …correction with a slope (multiplication with a factor) and/or intercept (constant value is added or su ...
... a. Has there been a change in volumes and/or reagents in the method? b. Is the analysis performed on another instrument then what is assumed from the manufacturer? c. Is the result modified by… i. …correction with a slope (multiplication with a factor) and/or intercept (constant value is added or su ...
Building Behavior Trees from Observations in Real
... circumstances – long solutions may react slowly to unexpected outcomes during execution, while short solutions may react excessively to small differences in state or have difficulty reasoning about action ordering [3], [24]. A possible remedy to these issues is to introduce conditional checks and hi ...
... circumstances – long solutions may react slowly to unexpected outcomes during execution, while short solutions may react excessively to small differences in state or have difficulty reasoning about action ordering [3], [24]. A possible remedy to these issues is to introduce conditional checks and hi ...
A theory of drug tolerance and dependence II: the
... in the figure by the summation of their output signals. As discussed in the preceding paper, the model assumes the body to anticipate the effect of a drug to which it has developed tolerance. This implies that the body has made an estimate of what is going to happen when the drug is administered. In ...
... in the figure by the summation of their output signals. As discussed in the preceding paper, the model assumes the body to anticipate the effect of a drug to which it has developed tolerance. This implies that the body has made an estimate of what is going to happen when the drug is administered. In ...
Control Systems
... mathematical model of the system that algebraically relates a representation of the output to a representation of the input. • The primary disadvantage of the classical approach is its limited applicability: It can be applied only to linear, timeinvariant systems or systems that can be approximated ...
... mathematical model of the system that algebraically relates a representation of the output to a representation of the input. • The primary disadvantage of the classical approach is its limited applicability: It can be applied only to linear, timeinvariant systems or systems that can be approximated ...
- Cambridge Center for Behavioral Studies
... The Founder’s Reaction At first Tinbergen (1955) seemed to accept the critiques while maintaining that there were aboriginal perceptual and motor systems. He accepted that these systems ought to have been studied developmentally, but he pointed out that his level of research was different from the p ...
... The Founder’s Reaction At first Tinbergen (1955) seemed to accept the critiques while maintaining that there were aboriginal perceptual and motor systems. He accepted that these systems ought to have been studied developmentally, but he pointed out that his level of research was different from the p ...
UseCases-EMS
... • Standards could apply utility-grade security to individual HAN messages – Current security credentials • Apply to all communications of all devices on a logical network • Logical and physical network are treated as one (at least in most current implementations) • Thus for one device to talk to ano ...
... • Standards could apply utility-grade security to individual HAN messages – Current security credentials • Apply to all communications of all devices on a logical network • Logical and physical network are treated as one (at least in most current implementations) • Thus for one device to talk to ano ...
Survey on Neuro-Fuzzy Systems and their Applications in Technical
... and Fuzzy Systems had been often applied together the concept of a fusion between them started to take shape. Neuro-Fuzzy Systems were born which utilize the advantages of both techniques: they have learning and generalization capabilities and at the same time they reveal the functionality stored in ...
... and Fuzzy Systems had been often applied together the concept of a fusion between them started to take shape. Neuro-Fuzzy Systems were born which utilize the advantages of both techniques: they have learning and generalization capabilities and at the same time they reveal the functionality stored in ...
Machine Learning
... • Learner can query an oracle about class of an unlabeled example in the environment. • Learner can construct an arbitrary example and query an oracle for its label. • Learner can design and run experiments directly in the environment without any human guidance. ...
... • Learner can query an oracle about class of an unlabeled example in the environment. • Learner can construct an arbitrary example and query an oracle for its label. • Learner can design and run experiments directly in the environment without any human guidance. ...
Neural Networks and Statistical Models
... where act and act are the activation functions for the hidden and output layers, respectively. MLPs are general-purpose, flexible, nonlinear models that, given enough hidden neurons and enough data, can approximate virtually any function to any desired degree of accuracy. In other words, MLPs are ...
... where act and act are the activation functions for the hidden and output layers, respectively. MLPs are general-purpose, flexible, nonlinear models that, given enough hidden neurons and enough data, can approximate virtually any function to any desired degree of accuracy. In other words, MLPs are ...
The Control Outcome Calibration Approach for Causal Inference
... approach to correct causal effect estimates for bias due to unobserved confounding, while avoiding the above assumption of bias equivalence. The proposed control outcome calibration approach (COCA) is motivated by noting that the ultimate set of unobserved confounders in an analysis relating the exp ...
... approach to correct causal effect estimates for bias due to unobserved confounding, while avoiding the above assumption of bias equivalence. The proposed control outcome calibration approach (COCA) is motivated by noting that the ultimate set of unobserved confounders in an analysis relating the exp ...
Effect of Reinforcement on Teaching – Learning
... types –positive reinforcement and negative reinforcement. A positive reinforcement is any stimulus such as food, water, sexual contact etc. the introduction or presentation of which increases the likelihood of a particular behavior. In the educational context, praise, grades, medals and other prizes ...
... types –positive reinforcement and negative reinforcement. A positive reinforcement is any stimulus such as food, water, sexual contact etc. the introduction or presentation of which increases the likelihood of a particular behavior. In the educational context, praise, grades, medals and other prizes ...
Adapting the Turing Test for Embodied Neurocognitive Evaluation of
... trends may be sufficient to pass the test. A test with a higher fidelity than resemblance might be called verisimilitude. For example, suppose a test required the agent produce behavior such that, if its responses were given along with corresponding responses from a set of humans on the same tasks, ...
... trends may be sufficient to pass the test. A test with a higher fidelity than resemblance might be called verisimilitude. For example, suppose a test required the agent produce behavior such that, if its responses were given along with corresponding responses from a set of humans on the same tasks, ...
Modularity and Design in Reactive Intelligence
... Parallel-rooted, Ordered Slip-stack Hierarchical (POSH) action selection. Although we freely distribute implementations of this architecture in both C++ and Lisp / CLOS, we have also implemented versions of POSH action selection in other architectures [Bryson and Stein, 2001]. The functionality of t ...
... Parallel-rooted, Ordered Slip-stack Hierarchical (POSH) action selection. Although we freely distribute implementations of this architecture in both C++ and Lisp / CLOS, we have also implemented versions of POSH action selection in other architectures [Bryson and Stein, 2001]. The functionality of t ...
Artificial General Intelligence and Classical Neural Network
... intelligent systems all failed. No matter what the reason in each case actually was, the lesson learned by the AI community is that general-purpose intelligent systems cannot be built, at least at the current time. As a consequence, people turn to domain-specific or narrowly-defined problems, which ...
... intelligent systems all failed. No matter what the reason in each case actually was, the lesson learned by the AI community is that general-purpose intelligent systems cannot be built, at least at the current time. As a consequence, people turn to domain-specific or narrowly-defined problems, which ...