Decision Support Systems - University of Pittsburgh
... analysis, and statistics. In each of these modeling tools, knowledge about a system is represented by means of algebraic, logical, or statistical variables. Interactions among these variables are expressed by equations or logical rules, possibly enhanced with an explicit representation of uncertaint ...
... analysis, and statistics. In each of these modeling tools, knowledge about a system is represented by means of algebraic, logical, or statistical variables. Interactions among these variables are expressed by equations or logical rules, possibly enhanced with an explicit representation of uncertaint ...
pdf file
... In this section mirror neurons and internal simulation of another person’s mental processes are briefly discussed. Together these concepts are a basis for biological mechanisms that realise an individual’s mental function of mirroring mental processes of another individual. This function plays a cru ...
... In this section mirror neurons and internal simulation of another person’s mental processes are briefly discussed. Together these concepts are a basis for biological mechanisms that realise an individual’s mental function of mirroring mental processes of another individual. This function plays a cru ...
The MADP Toolbox 0.3
... and includes several example applications using the provided functionality. For instance, applications that use JESP or brute-force search to solve problems (specified as .dpomdp files) for a particular planning horizon. In this way, Dec-POMDPs can be solved directly from the command line. Furthermo ...
... and includes several example applications using the provided functionality. For instance, applications that use JESP or brute-force search to solve problems (specified as .dpomdp files) for a particular planning horizon. In this way, Dec-POMDPs can be solved directly from the command line. Furthermo ...
Music Similarity Estimation with the Mean
... music according to a given taxonomy. Here we consider the more difficult task of estimating perceived music similarity, which may be used to recommend music based on examples or to generate well-sounding playlists. In particular, we are interested in content-based methods that rely on sound only, no ...
... music according to a given taxonomy. Here we consider the more difficult task of estimating perceived music similarity, which may be used to recommend music based on examples or to generate well-sounding playlists. In particular, we are interested in content-based methods that rely on sound only, no ...
Matching Conflicts: Functional Validation of Agents
... on. The same is true of linear system solvers, other numerical algorithms and data products. In some complicated computationtasks, the possible situations are more challenging. For example, there are manydifferent system modeling algorithms developed for different control systems such as ARMX or ARM ...
... on. The same is true of linear system solvers, other numerical algorithms and data products. In some complicated computationtasks, the possible situations are more challenging. For example, there are manydifferent system modeling algorithms developed for different control systems such as ARMX or ARM ...
Automated Planning and Model Checking
... constant-factor-optimal adaptive heap sorting requiring at most n lg(Inv/n) + O(n) element comparisons and exploiting Cartesian trees as well as buffered heaps. We observe (and prove) that – in contrast to a heap – repeated insertion in a weak heap requires at most 3.5n + o(n) element comparisons. T ...
... constant-factor-optimal adaptive heap sorting requiring at most n lg(Inv/n) + O(n) element comparisons and exploiting Cartesian trees as well as buffered heaps. We observe (and prove) that – in contrast to a heap – repeated insertion in a weak heap requires at most 3.5n + o(n) element comparisons. T ...
NETMORPH: A Framework for the Stochastic
... individual growth cone. The various actions of the growth cone, such as elongation, branching and turning, are described as outcomes of stochastic processes that capture in a phenomenological manner the processes involved in neurite outgrowth. This description includes the influence on outgrowth of ...
... individual growth cone. The various actions of the growth cone, such as elongation, branching and turning, are described as outcomes of stochastic processes that capture in a phenomenological manner the processes involved in neurite outgrowth. This description includes the influence on outgrowth of ...
Directed Model Checking – Planning and Model Checking –
... • Planning with Control-Rules: Hand-tailored planners attach supplementary information in form of temporal formulae to prune the state space ...
... • Planning with Control-Rules: Hand-tailored planners attach supplementary information in form of temporal formulae to prune the state space ...
Visual Event Classification via Force Dynamics Jeffrey Mark Siskind
... This paper presents an implemented system, called L EONARD, that classifies simple spatial motion events, such as pick up and put down, from video input. Unlike previous systems that classify events based on their motion profile, L EONARD uses changes in the state of force-dynamic relations, such as ...
... This paper presents an implemented system, called L EONARD, that classifies simple spatial motion events, such as pick up and put down, from video input. Unlike previous systems that classify events based on their motion profile, L EONARD uses changes in the state of force-dynamic relations, such as ...
Classification of jobs with risk of low back disorders by applying data
... Karwowski et al. [17] and Zurada et al. [37] used the neural network techniques to explore their effectiveness in detecting high risk jobs with respect to LBDs. The results of the study [37] show that an artificial neural network-based diagnostic system can be used as an expert system which, when pr ...
... Karwowski et al. [17] and Zurada et al. [37] used the neural network techniques to explore their effectiveness in detecting high risk jobs with respect to LBDs. The results of the study [37] show that an artificial neural network-based diagnostic system can be used as an expert system which, when pr ...
Reward and punishment act as distinct factors in guiding behavior
... from zero over the subjects (p < 0:0001; t 53 ¼ 16:41, twosided t-test). Thus, the click difference was a significant factor in guiding the subjects’ responses. The amount of information in the stimulus may influence the time it takes to produce a response, the reaction time (RT). We indeed found th ...
... from zero over the subjects (p < 0:0001; t 53 ¼ 16:41, twosided t-test). Thus, the click difference was a significant factor in guiding the subjects’ responses. The amount of information in the stimulus may influence the time it takes to produce a response, the reaction time (RT). We indeed found th ...
Investigating circadian rhythmicity in pain sensitivity using
... There is a long history to understanding how the body perceives pain, including many conflicting theories. Today’s main theory of pain, the gate control theory of pain, was developed in 1965 by Ronald Melzack and Charles Patrick Wall [20]. These researchers revolutionized the understanding of the pa ...
... There is a long history to understanding how the body perceives pain, including many conflicting theories. Today’s main theory of pain, the gate control theory of pain, was developed in 1965 by Ronald Melzack and Charles Patrick Wall [20]. These researchers revolutionized the understanding of the pa ...
deep variational bayes filters: unsupervised learning of state space
... latent system variables? These two tasks are competing: A more powerful representation of system requires more computationally demanding inference, and efficient inference, such as the well-known Kalman filters, Kalman & Bucy (1961), can prohibit sufficiently complex system classes. Leveraging a rec ...
... latent system variables? These two tasks are competing: A more powerful representation of system requires more computationally demanding inference, and efficient inference, such as the well-known Kalman filters, Kalman & Bucy (1961), can prohibit sufficiently complex system classes. Leveraging a rec ...
AI on the WWW supply and demand agents
... agents operate in their own self interest. In this light, the motives of supply and demand agents can differ. The likely existence ofdifferent motives i s probably more apparent when we consider the growth of electronic commerce on the WWW. Consider the situation where supply agents are interested i ...
... agents operate in their own self interest. In this light, the motives of supply and demand agents can differ. The likely existence ofdifferent motives i s probably more apparent when we consider the growth of electronic commerce on the WWW. Consider the situation where supply agents are interested i ...
Parameter Priors for Directed Acyclic Graphical Models
... , m ~ ) )ern where c is a normalization constant. We can then select a DAG model that has a high posterior probability or average several good models for prediction. The problem of selecting an appropriate DAG model, or sets of DAG models, given data, posses a serious computational challenge, becaus ...
... , m ~ ) )ern where c is a normalization constant. We can then select a DAG model that has a high posterior probability or average several good models for prediction. The problem of selecting an appropriate DAG model, or sets of DAG models, given data, posses a serious computational challenge, becaus ...
My second proposal is a project based on the “double
... Can anything in general be said about intelligent agent architectures? Just as there are millions of species of animals, occupying millions of different niches, I expect that there will be many species of artificial agents---each a specialist for one of a countless number of tasks. The exact forms o ...
... Can anything in general be said about intelligent agent architectures? Just as there are millions of species of animals, occupying millions of different niches, I expect that there will be many species of artificial agents---each a specialist for one of a countless number of tasks. The exact forms o ...
My second proposal is a project based on the “double
... Can anything in general be said about intelligent agent architectures? Just as there are millions of species of animals, occupying millions of different niches, I expect that there will be many species of artificial agents---each a specialist for one of a countless number of tasks. The exact forms o ...
... Can anything in general be said about intelligent agent architectures? Just as there are millions of species of animals, occupying millions of different niches, I expect that there will be many species of artificial agents---each a specialist for one of a countless number of tasks. The exact forms o ...
Rollout Sampling Policy Iteration for Decentralized POMDPs
... as Monte-Carlo methods allows agents to choose actions based on experience [19]. These methods require no prior knowledge of the dynamics, as long as sample trajectories can be generated online or using a simulator of the environment. Although a model is required, it must only provide enough informa ...
... as Monte-Carlo methods allows agents to choose actions based on experience [19]. These methods require no prior knowledge of the dynamics, as long as sample trajectories can be generated online or using a simulator of the environment. Although a model is required, it must only provide enough informa ...
Reinforcement Learning and the Reward Engineering Principle
... of the adoption of these definitions by the artificial intelligence community. What difficulties will be faced by future researchers in this area? Reinforcement learning, as a conceptual tool, serves different roles in different fields; we are interested here in its application to artificial intelli ...
... of the adoption of these definitions by the artificial intelligence community. What difficulties will be faced by future researchers in this area? Reinforcement learning, as a conceptual tool, serves different roles in different fields; we are interested here in its application to artificial intelli ...
Reinforcement Learning and the Reward
... of the ability to achieve goals in the world”;2 additionally, we find that they are often concerned with generality (or at least flexibility or adaptability) of these computational systems, as in Legg and Hutter’s definition: “Intelligence measures an agent’s ability to achieve goals in a wide rang ...
... of the ability to achieve goals in the world”;2 additionally, we find that they are often concerned with generality (or at least flexibility or adaptability) of these computational systems, as in Legg and Hutter’s definition: “Intelligence measures an agent’s ability to achieve goals in a wide rang ...
Combining Heterogeneous Models for Measuring Relational Similarity
... larity models based on heterogeneous information sources is the key to advance the state-of-the-art on this problem. By combining two general-purpose relational similarity models with three specific wordrelation models covering relations like IsA and synonymy/antonymy, we improve the previous state ...
... larity models based on heterogeneous information sources is the key to advance the state-of-the-art on this problem. By combining two general-purpose relational similarity models with three specific wordrelation models covering relations like IsA and synonymy/antonymy, we improve the previous state ...
3 Implementation of Language Model Based on Mirror Neuron System
... 1. Felix++: A tool for implementing cortical areas The modules of work package 5 and 12 have been implemented using the NNSim and the Felix/Felix++ simulation tools. In this section we give a brief overview of the Felix/Felix++ simulation tool. For more details refer to Knoblauch (2003, 2004) and t ...
... 1. Felix++: A tool for implementing cortical areas The modules of work package 5 and 12 have been implemented using the NNSim and the Felix/Felix++ simulation tools. In this section we give a brief overview of the Felix/Felix++ simulation tool. For more details refer to Knoblauch (2003, 2004) and t ...
Probabilistic State-Dependent Grammars for Plan
... the value of Qt,1 and the terminal symbol chosen in the interval between t , 1 and t. We can often simplify a PSDG domain by viewing the state as a conjunction of somewhat orthogonal features representing individual aspects of the context. Production probabilities are functions of only those feature ...
... the value of Qt,1 and the terminal symbol chosen in the interval between t , 1 and t. We can often simplify a PSDG domain by viewing the state as a conjunction of somewhat orthogonal features representing individual aspects of the context. Production probabilities are functions of only those feature ...
Chapter 3
... When using a spreadsheet as a mathematical model, the user can enter data or make changes directly to the spreadsheet cells, or by using a GUI The pricing model described earlier in Figures 11.6-11.10 could have been developed using a spreadsheet, and had the graphical user interface added The inter ...
... When using a spreadsheet as a mathematical model, the user can enter data or make changes directly to the spreadsheet cells, or by using a GUI The pricing model described earlier in Figures 11.6-11.10 could have been developed using a spreadsheet, and had the graphical user interface added The inter ...