A Case Study in Developmental Robotics
... a common one. For example, in an article (Barto et al., 1995) it was shown that majority of reinforcement learning (RL) algorithms are properly treated within the dynamic programming framework. RL methods which use dynamic programming as mathematical framework, require that environment be represente ...
... a common one. For example, in an article (Barto et al., 1995) it was shown that majority of reinforcement learning (RL) algorithms are properly treated within the dynamic programming framework. RL methods which use dynamic programming as mathematical framework, require that environment be represente ...
A Computer Simulation of Olfactory Cortex with Functional
... Piriform cortex is a primary olfactory cerebral cortical structure which receives second order input from the olfactory receptors via the olfactory bulb (Fig. 1). It is believed to play a significant role in the classification and storage of olfactory information 1•2•3 . For several years we have be ...
... Piriform cortex is a primary olfactory cerebral cortical structure which receives second order input from the olfactory receptors via the olfactory bulb (Fig. 1). It is believed to play a significant role in the classification and storage of olfactory information 1•2•3 . For several years we have be ...
CS 445 / 645 Introduction to Computer Graphics
... The action (decision) is based on the values coming from the sensors (perceptions), and the internal state of the agent ...
... The action (decision) is based on the values coming from the sensors (perceptions), and the internal state of the agent ...
Learning with Hierarchical-Deep Models
... models. In particular, we show how we can learn a hierarchical Dirichlet process (HDP) prior over the activities of the top-level features in a DBM, coming to represent both a layered hierarchy of increasingly abstract features and a tree-structured hierarchy of classes. Our model depends minimally ...
... models. In particular, we show how we can learn a hierarchical Dirichlet process (HDP) prior over the activities of the top-level features in a DBM, coming to represent both a layered hierarchy of increasingly abstract features and a tree-structured hierarchy of classes. Our model depends minimally ...
The BICA Cognitive Decathlon
... An important aspect of human intelligence is the selfdirected ability to explore the environment and learn from it. Yet most problems AI systems face are well defined with clear goal. Perhaps a more difficult problem is discovering these goals in the first place. This task attempts to replicate the ...
... An important aspect of human intelligence is the selfdirected ability to explore the environment and learn from it. Yet most problems AI systems face are well defined with clear goal. Perhaps a more difficult problem is discovering these goals in the first place. This task attempts to replicate the ...
Modeling Opponent Decision in Repeated One
... information and observed actions of another agent to predict future plans of that agent. This may not necessarily lead to a modification of the model of the other agent. Our goal is complementary in the sense that we want to observe past actions taken or decisions made by another agent to identify t ...
... information and observed actions of another agent to predict future plans of that agent. This may not necessarily lead to a modification of the model of the other agent. Our goal is complementary in the sense that we want to observe past actions taken or decisions made by another agent to identify t ...
Formalisms for Multi-Agent Systems
... However, we are still some way off having a logic which addresses all these features, and there are some drawbacks, too. One key problem with such formalisms is that, if anything, they are even further from implementations than with single-agent formalisms. Also, the macro-level, emergent behaviour ...
... However, we are still some way off having a logic which addresses all these features, and there are some drawbacks, too. One key problem with such formalisms is that, if anything, they are even further from implementations than with single-agent formalisms. Also, the macro-level, emergent behaviour ...
The Relative Expressiveness of Abstract Argumentation and Logic
... We assume given a finite set A of atoms (statements, arguments), the vocabulary. A knowledge representation language interpreted over A is then some set L; a (two-valued) A semantics for L is a mapping σ : L → 22 that assigns sets of two-valued models to the language elements. (So A is implicit in L ...
... We assume given a finite set A of atoms (statements, arguments), the vocabulary. A knowledge representation language interpreted over A is then some set L; a (two-valued) A semantics for L is a mapping σ : L → 22 that assigns sets of two-valued models to the language elements. (So A is implicit in L ...
WAIC AND WBIC ARE INFORMATION CRITERIA FOR SINGULAR
... Markov models, Bayesian networks [5, 6], and reduced rank regressions [7] are singular statistical models. In singular models, the log likelihood function can not be approximated by any quadratic form of the parameter, resulting that asymptotic normality of the maximum likelihood estimator does not ...
... Markov models, Bayesian networks [5, 6], and reduced rank regressions [7] are singular statistical models. In singular models, the log likelihood function can not be approximated by any quadratic form of the parameter, resulting that asymptotic normality of the maximum likelihood estimator does not ...
Acta polytechnica Hungarica - Volume 4, Issue No. 1 (2007.)
... developers to take the system's context into account through the set of defined variables that are linked to the application domain. With these extensions the focus in decision support systems development shifts from task ontology towards domain ontology. Most AI systems operate on a first-principle ...
... developers to take the system's context into account through the set of defined variables that are linked to the application domain. With these extensions the focus in decision support systems development shifts from task ontology towards domain ontology. Most AI systems operate on a first-principle ...
Case-based Reasoning in Agent-based Decision Support System
... developers to take the system's context into account through the set of defined variables that are linked to the application domain. With these extensions the focus in decision support systems development shifts from task ontology towards domain ontology. Most AI systems operate on a first-principle ...
... developers to take the system's context into account through the set of defined variables that are linked to the application domain. With these extensions the focus in decision support systems development shifts from task ontology towards domain ontology. Most AI systems operate on a first-principle ...
Automatic discovery of cell types and microcircuitry from
... We build a structured probabilistic model which begins with the generic notion of a cell being a member of a single type—and these types affect soma depth, distribution of synapses, as well as a cell type and distance-dependent connection probability. For example, retinal ganglion cells may synapse ...
... We build a structured probabilistic model which begins with the generic notion of a cell being a member of a single type—and these types affect soma depth, distribution of synapses, as well as a cell type and distance-dependent connection probability. For example, retinal ganglion cells may synapse ...
Options for Stage II - University of Kent School of computing
... • Involves many areas of study: design, technology, psychology, … • In this module, we study – How to analyse interaction problems, and then design effective interfaces for computers and similar devices – How to evaluate an interface, understand its effectiveness, and improve it. – The research that ...
... • Involves many areas of study: design, technology, psychology, … • In this module, we study – How to analyse interaction problems, and then design effective interfaces for computers and similar devices – How to evaluate an interface, understand its effectiveness, and improve it. – The research that ...
Exploiting Anonymity and Homogeneity in Factored Dec
... under transition uncertainty. However, solving a Dec-MDP to generate coordinated yet decentralized policies in environments with uncertainty is NEXPHard [2]. Researchers have typically employed three types of approaches to address this significant computational complexity: (1) approximate dynamic pr ...
... under transition uncertainty. However, solving a Dec-MDP to generate coordinated yet decentralized policies in environments with uncertainty is NEXPHard [2]. Researchers have typically employed three types of approaches to address this significant computational complexity: (1) approximate dynamic pr ...
Programmability of Intelligent Agent Avatars (Extended Abstract)
... Vrije University of Amsterdam, De Boelelaan 1081, Amsterdam ...
... Vrije University of Amsterdam, De Boelelaan 1081, Amsterdam ...
On the Structural Robustness of Evolutionary Models of Cooperation
... is greater than the payoff obtained when they both defect (P); a single cooperator obtains S, whereas a single defector receives T. The essence of the problem of cooperation is captured by the fact that both players prefer any outcome in which the opponent cooperates to any outcome in which the oppo ...
... is greater than the payoff obtained when they both defect (P); a single cooperator obtains S, whereas a single defector receives T. The essence of the problem of cooperation is captured by the fact that both players prefer any outcome in which the opponent cooperates to any outcome in which the oppo ...
Natural and Artificial Systems: Compare, Model or - PUMA
... solutions. This kind of approach is widely used in synthetic biology; biomimicry – directly copying nature to create new technologies; and natural computation, incorporating the use of natural systems to develop alternative problem-solving techniques, the use of computers to synthesise natural pheno ...
... solutions. This kind of approach is widely used in synthetic biology; biomimicry – directly copying nature to create new technologies; and natural computation, incorporating the use of natural systems to develop alternative problem-solving techniques, the use of computers to synthesise natural pheno ...
Using Model Trees for Computer Architecture Performance Analysis
... effects of unbalanced instruction mixes. More importantly, the two models do not account for the inherent interaction effects between various performance events and for differing behaviors from application to application and often among different phases [7] of the same application. In contrast, this ...
... effects of unbalanced instruction mixes. More importantly, the two models do not account for the inherent interaction effects between various performance events and for differing behaviors from application to application and often among different phases [7] of the same application. In contrast, this ...
tl 004 a dual-step multi-algorithm approach for churn - PUC-SP
... Abstract Nowadays customer churn has become the main concern of companies which are active in different industries. Among all industries which suffer from this issue, telecommunications industry can be considered in the top of the list with approximate annual churn rate of 30%. Dealing with this pro ...
... Abstract Nowadays customer churn has become the main concern of companies which are active in different industries. Among all industries which suffer from this issue, telecommunications industry can be considered in the top of the list with approximate annual churn rate of 30%. Dealing with this pro ...
Document
... Interesting because – Ease understanding – Techniques in one field applied to another Structural EM for phylogenetic trees Dynamic BNs for speech understanding – Development of general purpose algorithms ...
... Interesting because – Ease understanding – Techniques in one field applied to another Structural EM for phylogenetic trees Dynamic BNs for speech understanding – Development of general purpose algorithms ...
Lexical Plasticity in Early Bilinguals Does Not Alter Phoneme
... neurons, organized in functional populations (henceforth, pools), whose interactions can account for the behavior observed. We propose two competing network architectures, each representing a specific cognitive hypothesis. One model supposes an interaction at the phonemic level as the main mechanism ...
... neurons, organized in functional populations (henceforth, pools), whose interactions can account for the behavior observed. We propose two competing network architectures, each representing a specific cognitive hypothesis. One model supposes an interaction at the phonemic level as the main mechanism ...
Multi-Agent System
... between goal states and non-goal states. It is possible to define a measure of how desirable a particular state is. • This measure can be obtained through the use of a utility function which maps a state to a measure of the utility of the state. ...
... between goal states and non-goal states. It is possible to define a measure of how desirable a particular state is. • This measure can be obtained through the use of a utility function which maps a state to a measure of the utility of the state. ...
Co-Designing Agents: A Vision
... 1. Before being on the job: (a) Answer questions of the form “What would you do in situation x?” (b) Think of situations that may occur, but in which it would not know what to do. Describe the situations, and ask for advice. (c) Discover situations in which it is supposed to do contradictory actions ...
... 1. Before being on the job: (a) Answer questions of the form “What would you do in situation x?” (b) Think of situations that may occur, but in which it would not know what to do. Describe the situations, and ask for advice. (c) Discover situations in which it is supposed to do contradictory actions ...
programme summary - Department of Informatics
... Traditional economic models of market places are typically static in nature and are unable to explain many of the properties of empirical data from real-world exchanges. An alternative research paradigm called Agent-Based Computational Economics (ACE) attempts to explain these properties by analysin ...
... Traditional economic models of market places are typically static in nature and are unable to explain many of the properties of empirical data from real-world exchanges. An alternative research paradigm called Agent-Based Computational Economics (ACE) attempts to explain these properties by analysin ...
Distributed Artificial Intelligence - Dei-Isep
... be carefully designed to prevent harmful interactions between the agents. So, it is necessary coordination! An individual agent needs to represent and reason about the actions, plans and knowledge of other agents in order to coordinate with them. ...
... be carefully designed to prevent harmful interactions between the agents. So, it is necessary coordination! An individual agent needs to represent and reason about the actions, plans and knowledge of other agents in order to coordinate with them. ...