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... Assume we have 5 binary predictors and two samples, and wish to classify instances into two classes The predictors can encode 2^5=32 possible distinct patterns. Assume all patterns are equally probable. Hence the chances of the two cases having different predictive patterns are 31/32=97%. Thus in 97 ...
... Assume we have 5 binary predictors and two samples, and wish to classify instances into two classes The predictors can encode 2^5=32 possible distinct patterns. Assume all patterns are equally probable. Hence the chances of the two cases having different predictive patterns are 31/32=97%. Thus in 97 ...
Implementing feedback in creative systems
... workshop, the author may think that a given aspect of their creation is the interesting “active ingredient,” and it may turn out that another aspect of the work is more interesting to critics. Relatedly, the author may not fully comprehend a critic’s feedback and may have to ask follow-up questions ...
... workshop, the author may think that a given aspect of their creation is the interesting “active ingredient,” and it may turn out that another aspect of the work is more interesting to critics. Relatedly, the author may not fully comprehend a critic’s feedback and may have to ask follow-up questions ...
behavior based credit card fraud detection using
... card payments are necessary and convenient to use. Due to the increase of fraudulent transactions, there is a need to find the efficient fraud detection model. Fraud is increasing dramatically with the expansion of modern technology [1].The amount of information in the modern world is also explosive ...
... card payments are necessary and convenient to use. Due to the increase of fraudulent transactions, there is a need to find the efficient fraud detection model. Fraud is increasing dramatically with the expansion of modern technology [1].The amount of information in the modern world is also explosive ...
Mental state inference using visual control parameters
... which is internally parameterized by intention (not visible to an observer). The observer, by simulating the motor control system with an initial estimate of this internal parameter, can compare its simulated output with the observed act, generating an error measure that allows updating of the obser ...
... which is internally parameterized by intention (not visible to an observer). The observer, by simulating the motor control system with an initial estimate of this internal parameter, can compare its simulated output with the observed act, generating an error measure that allows updating of the obser ...
Model code of practice for the humane control of feral pigs
... tropical fruit crops, and compete with stock for feed by eating or damaging pasture. There are no reliable estimates of the cost of feral pig damage to agricultural production, although it is likely that the damage is at least of the order of $100 million annually, and it may be much more. Although ...
... tropical fruit crops, and compete with stock for feed by eating or damaging pasture. There are no reliable estimates of the cost of feral pig damage to agricultural production, although it is likely that the damage is at least of the order of $100 million annually, and it may be much more. Although ...
Full Text PDF - Science and Education Publishing
... Herein, ACS considered as a non-neural biological system given at Figure 8 in below. Referring to this figure, ants' movements are going on a straight line that connects a food source to their nest (Figure 8A). It is well known that the primary means for ants to form and maintain the line is a phero ...
... Herein, ACS considered as a non-neural biological system given at Figure 8 in below. Referring to this figure, ants' movements are going on a straight line that connects a food source to their nest (Figure 8A). It is well known that the primary means for ants to form and maintain the line is a phero ...
A Neural Schema Architecture for Autonomous Robots
... the form of asynchronous message passing, hierarchically managed, internally, through anonymous port reading and writing, and externally, through dynamic port connections and relabelings. When doing connections, output ports from one schema are connected to input ports from other schemas, and ports ...
... the form of asynchronous message passing, hierarchically managed, internally, through anonymous port reading and writing, and externally, through dynamic port connections and relabelings. When doing connections, output ports from one schema are connected to input ports from other schemas, and ports ...
Michael Arbib and Laurent Itti: CS564
... Itti: CS564 - Brain Theory and Artificial Intelligence. Reinforcement learning. ...
... Itti: CS564 - Brain Theory and Artificial Intelligence. Reinforcement learning. ...
Concepts of Object- and Agent-Oriented Simulation
... simulation systems are test beds for multiagent systems, i.e. they perceive and define the entities of the model's domain as agents. They provide the environment and mechanisms to conduct controlled experimentation with software components developed in single or distributed Artificial Intelligence ...
... simulation systems are test beds for multiagent systems, i.e. they perceive and define the entities of the model's domain as agents. They provide the environment and mechanisms to conduct controlled experimentation with software components developed in single or distributed Artificial Intelligence ...
Themes from older men`s lay definitions of successful aging as
... the degree to which individuals relied on primary or secondary control over the life course, it did not address Rothbaum et al.'s switching hypothesis, nor did it acknowledge that men could potentially gain perceptions of control differently than do women. To address these gaps in the literature, in ...
... the degree to which individuals relied on primary or secondary control over the life course, it did not address Rothbaum et al.'s switching hypothesis, nor did it acknowledge that men could potentially gain perceptions of control differently than do women. To address these gaps in the literature, in ...
The role of spiking nonlinearity in contrast gain control
... chosen the nonlinearity g(Æ) here to examine the exact effects of threshold and saturation (Eq. (2)). This static nonlinearity has been viewed as a good approach to model real neurons nonlinearity. It can be observed from the equation that a varies with r2 for a LN model with fixed values of h and g ...
... chosen the nonlinearity g(Æ) here to examine the exact effects of threshold and saturation (Eq. (2)). This static nonlinearity has been viewed as a good approach to model real neurons nonlinearity. It can be observed from the equation that a varies with r2 for a LN model with fixed values of h and g ...
Precondition Control and the Progression Algorithm
... fixes. Finally, we discuss how by applying the compilation technique presented in (Gabaldon 2003), we can take a nonMarkovian action theory with precondition control and obtain a Markovian one that has the search control “compiled” into it. Put together, given a linear temporal logic formula, this ...
... fixes. Finally, we discuss how by applying the compilation technique presented in (Gabaldon 2003), we can take a nonMarkovian action theory with precondition control and obtain a Markovian one that has the search control “compiled” into it. Put together, given a linear temporal logic formula, this ...
A Computational Intelligence Approach to Modelling Interstate Conflict
... study of interstate conflict has been the adoption of the generic term of “conflict” rather than “war” or “dispute”. This has led to collection of MID data which allows us, not only to concentrate on intense state interactions, but also on sub war interactions, where militarised behaviour occurs wit ...
... study of interstate conflict has been the adoption of the generic term of “conflict” rather than “war” or “dispute”. This has led to collection of MID data which allows us, not only to concentrate on intense state interactions, but also on sub war interactions, where militarised behaviour occurs wit ...
Basic Artificial Intelligence Research at the Georgia Institute of
... situations that cause it to make erroneous decisions. As new information is processed, these erroneous decisions can be contradicted and, consequently, must be corrected. Eiselt’s recent research focused on the mechanisms that enable the understander to recover from these incorrect decisions with mi ...
... situations that cause it to make erroneous decisions. As new information is processed, these erroneous decisions can be contradicted and, consequently, must be corrected. Eiselt’s recent research focused on the mechanisms that enable the understander to recover from these incorrect decisions with mi ...
application of expert systems in wastewater treatment
... The discussion of expert systems, as a sub-category of knowledge-based systems, should be started with definition of artificial intelligence (AI), which is a very a very broad and often incorrectly understood concept. In popular perception AI is sometime associated with human-like robots or with sup ...
... The discussion of expert systems, as a sub-category of knowledge-based systems, should be started with definition of artificial intelligence (AI), which is a very a very broad and often incorrectly understood concept. In popular perception AI is sometime associated with human-like robots or with sup ...
PDF
... production system and the economic system on which it operates on purely theoretical grounds. This is then used to predict the effect of the disease on the system (James and Ellis, 1979, p 366). Put simply, the positive approach is all data and no model and the normative approach is all model with n ...
... production system and the economic system on which it operates on purely theoretical grounds. This is then used to predict the effect of the disease on the system (James and Ellis, 1979, p 366). Put simply, the positive approach is all data and no model and the normative approach is all model with n ...
An Efficient Explanation of Individual Classifications
... planation method also has to be modified or replaced. The user then has to invest time and effort into adapting to the new explanation method. This can be avoided by using a general explanation method. Overall, a good general explanation method reduces the dependence between the user-end and the und ...
... planation method also has to be modified or replaced. The user then has to invest time and effort into adapting to the new explanation method. This can be avoided by using a general explanation method. Overall, a good general explanation method reduces the dependence between the user-end and the und ...
Learning Long-term Planning in Basketball Using
... takes a highly non-linear trajectory towards his macro-goal of positioning near the basket. As such, conventional approaches are not well suited for these settings, as they generally use a single (low-level) planner, which is only successful when myopic planning leads to the desired behavior. In thi ...
... takes a highly non-linear trajectory towards his macro-goal of positioning near the basket. As such, conventional approaches are not well suited for these settings, as they generally use a single (low-level) planner, which is only successful when myopic planning leads to the desired behavior. In thi ...
Neural Networks and Its Application in Engineering
... this work, we have examined the various architectures of NN and the learning process. The needs for neural networks, training of neural networks, and important algorithms used in realizing neural networks have also been briefly discussed. Neural network application in control engineering has been ex ...
... this work, we have examined the various architectures of NN and the learning process. The needs for neural networks, training of neural networks, and important algorithms used in realizing neural networks have also been briefly discussed. Neural network application in control engineering has been ex ...
- University of Huddersfield Repository
... Jiang 2007) is a tool for learning action schema from observed plans with partial information. It is a system for automatically discovering action models from a set of observed plans where the intermediate states are either unknown or only partially known. To learn action schema, ARMS gathers ...
... Jiang 2007) is a tool for learning action schema from observed plans with partial information. It is a system for automatically discovering action models from a set of observed plans where the intermediate states are either unknown or only partially known. To learn action schema, ARMS gathers ...
1.2 Implicit Bias, Reinforcement Learning, and Scaffolded Moral
... (Correll et al 2002). In any particular case, there is room to debate about the relative contribution of explicit prejudice and implicit bias, but it is hard to deny that racial stereotypes can—and often do— have a serious and deleterious impact on morally salient behavior. Philosophers have long a ...
... (Correll et al 2002). In any particular case, there is room to debate about the relative contribution of explicit prejudice and implicit bias, but it is hard to deny that racial stereotypes can—and often do— have a serious and deleterious impact on morally salient behavior. Philosophers have long a ...
MIT mobile robots-what`s next? - Cooperative Robotics Research
... this runaway characteristic of motors and batteries affect the size of the robot, but also the cost. Costs for propulsion systems have not scaled as they have for microelectronics. Aside from cost and size, there are other factors which have kept mobile robots from becoming as widespread as we might ...
... this runaway characteristic of motors and batteries affect the size of the robot, but also the cost. Costs for propulsion systems have not scaled as they have for microelectronics. Aside from cost and size, there are other factors which have kept mobile robots from becoming as widespread as we might ...
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... faced by tackling AI-complete problems head on, a number of alternative approaches arose in this area to work around issues pertaining to AI-completeness, such as behaviorbased AI, situated action, and believable agents. These researchers developed specific technical strategies to circumvent AI-comp ...
... faced by tackling AI-complete problems head on, a number of alternative approaches arose in this area to work around issues pertaining to AI-completeness, such as behaviorbased AI, situated action, and believable agents. These researchers developed specific technical strategies to circumvent AI-comp ...
FraMoTEC: A Framework for Modular Task-Environment
... machines most likely to come close to passing the Turing test do not come close to being intelligent. Passing the Turing Test can say nothing about a system’s ability to learn, as it could have learned the solution to every sub-goal prior to taking the test or had the knowledge programmed in — altho ...
... machines most likely to come close to passing the Turing test do not come close to being intelligent. Passing the Turing Test can say nothing about a system’s ability to learn, as it could have learned the solution to every sub-goal prior to taking the test or had the knowledge programmed in — altho ...
The Triangle of Life
... of the newborn robot organism. Using an explicit representation, the genome explicitly specifies the shape of the organism and the process of morphogenesis is executed with this shape as target. Morphogenesis has therefore a clear stopping criterion; it is successfully completed when the target shap ...
... of the newborn robot organism. Using an explicit representation, the genome explicitly specifies the shape of the organism and the process of morphogenesis is executed with this shape as target. Morphogenesis has therefore a clear stopping criterion; it is successfully completed when the target shap ...