Traps, Pitfalls, Swindles, Lies, Doubts and Suspicions in Human
... • Outside Attempts to Access System • Personal Info Being Sent Out – e.g. credit card numbers; email addresses; passwords ...
... • Outside Attempts to Access System • Personal Info Being Sent Out – e.g. credit card numbers; email addresses; passwords ...
Reinforcement Learning and Markov Decision Processes I
... V * ( s ) Q i ( s, a * ) g s ' d ( s, a * , s ' ) [V * ( s ' ) V i ( s ' )] g || V * V i || V * ( s ) V i 1 ( s ) V * ( s ) Q i ( s, a * ) || V * V i 1 || g || V * V i || Convergence Rate: 1/(1-g) ONLY Pseudo Polynomial ...
... V * ( s ) Q i ( s, a * ) g s ' d ( s, a * , s ' ) [V * ( s ' ) V i ( s ' )] g || V * V i || V * ( s ) V i 1 ( s ) V * ( s ) Q i ( s, a * ) || V * V i 1 || g || V * V i || Convergence Rate: 1/(1-g) ONLY Pseudo Polynomial ...
Exploring coordination properties within populations of distributed agents Elizabeth Sklar
... In the non-embodied multiagent systems (MAS) world, researchers are primarily concerned with understanding theoretically how systems might best coordinate, and they design simulated systems and mechanisms that approximate (or ignore) the physical world in order to demonstrate, test and evaluate theo ...
... In the non-embodied multiagent systems (MAS) world, researchers are primarily concerned with understanding theoretically how systems might best coordinate, and they design simulated systems and mechanisms that approximate (or ignore) the physical world in order to demonstrate, test and evaluate theo ...
Simulation de comportements appliquée aux jeux vidéos
... definition of behavior: Each behavior is described on a case-by-case basis by adding different agents which hold the many aspects of the behavior we wish to describe. To facilitate the process, GAIA supports inheritance among behaviors allowing the description to be simplified by successive enrichme ...
... definition of behavior: Each behavior is described on a case-by-case basis by adding different agents which hold the many aspects of the behavior we wish to describe. To facilitate the process, GAIA supports inheritance among behaviors allowing the description to be simplified by successive enrichme ...
Can Species Richness Patterns Be Interpolated From
... model was subject to a backward analysis to eliminate the non-significant ones. This process was repeated until no more variables were significant enough to enter into the final model, which was a function of maximum elevation, grassland area, land use diversity, forest area, geological diversity, t ...
... model was subject to a backward analysis to eliminate the non-significant ones. This process was repeated until no more variables were significant enough to enter into the final model, which was a function of maximum elevation, grassland area, land use diversity, forest area, geological diversity, t ...
Towards Decentralization
... agents are becoming increasingly important each agent is trying to maximize its own good without concern for the global good save labor time of human negotiators other savings are possible because computational agents can be more effective at finding beneficial shortterm contracts protocols ...
... agents are becoming increasingly important each agent is trying to maximize its own good without concern for the global good save labor time of human negotiators other savings are possible because computational agents can be more effective at finding beneficial shortterm contracts protocols ...
Research Statement
... School of Information Systems Email: [email protected] Tel: (+65) 6828 0519 Ubiquitous computing devices have not only changed the way people interact with the world, but have also helped capture an elaborate footprint of people’s actions. My long-term research goal is to analyze how people make d ...
... School of Information Systems Email: [email protected] Tel: (+65) 6828 0519 Ubiquitous computing devices have not only changed the way people interact with the world, but have also helped capture an elaborate footprint of people’s actions. My long-term research goal is to analyze how people make d ...
What Is an Intelligent Agent?
... "Firstly, agents may be classified by their mobility, i.e. by their ability to move around some network. This yields the classes of static or mobile agents. Secondly, they may be classed as either deliberative or reactive. Deliberative agents derive from the deliberative thinking paradigm: the agent ...
... "Firstly, agents may be classified by their mobility, i.e. by their ability to move around some network. This yields the classes of static or mobile agents. Secondly, they may be classed as either deliberative or reactive. Deliberative agents derive from the deliberative thinking paradigm: the agent ...
Time Perception: Beyond Simple Interval Estimation - ACT-R
... biological and neuropsychological reasons to favor an architectural solution. It is well-known from the behaviorist literature that animals can learn time intervals. For example, if rats or pigeons receive a reward when they press a bar, they quickly learn to anticipate this. However, when this rewa ...
... biological and neuropsychological reasons to favor an architectural solution. It is well-known from the behaviorist literature that animals can learn time intervals. For example, if rats or pigeons receive a reward when they press a bar, they quickly learn to anticipate this. However, when this rewa ...
Time Perception: Beyond Simple Interval Estimation
... anew for these data. Figures 6-8 show the results of the experiment and the model. A property of both participants’ behavior and the model’s predictions is the fact that the interval that is judged long 50% of the times is shorter than the mean of the short and long interval. For example, in the 2-8 ...
... anew for these data. Figures 6-8 show the results of the experiment and the model. A property of both participants’ behavior and the model’s predictions is the fact that the interval that is judged long 50% of the times is shorter than the mean of the short and long interval. For example, in the 2-8 ...
a CoMMUniCaTiVe CoMMUniTY oF aGenTs
... Agents are equipped with strictly defined properties and rules governing their behaviour or evolution. As a result of many local interactions between agents or between agents and the environment, global properties of the population emerge. This technique can be used successfully for studying dynamic ...
... Agents are equipped with strictly defined properties and rules governing their behaviour or evolution. As a result of many local interactions between agents or between agents and the environment, global properties of the population emerge. This technique can be used successfully for studying dynamic ...
MULTIPLE-AGENT PLANNING SYSTEMS Kurt Konolige Nils J. Nilsson
... requirements presuppose techniques for representing the "propositional attitudes" believe and want. Second, among the actions of each agent are ~communication actions" that are used to inform other agents about beliefs and goals and to request information. Finally, each agent must be able to generat ...
... requirements presuppose techniques for representing the "propositional attitudes" believe and want. Second, among the actions of each agent are ~communication actions" that are used to inform other agents about beliefs and goals and to request information. Finally, each agent must be able to generat ...
Bonaiuto_Progress-Report_3.31.07
... Many previous models of the basal ganglia focus on either reinforcement learning or action selection however so-called actor-critic models have been presented which provide aspects of both mechanisms (Barto, 1995; Houk et al., 1995). The current model integrates this type of model of the basal gangl ...
... Many previous models of the basal ganglia focus on either reinforcement learning or action selection however so-called actor-critic models have been presented which provide aspects of both mechanisms (Barto, 1995; Houk et al., 1995). The current model integrates this type of model of the basal gangl ...
Simulating Virtual Humans Across Diverse Situations
... those in video games) often suffer from the fact that their virtual inhabitants give no impression of having an existence beyond their interactions with human users [10]. This paper will describe an intelligent agent architecture which gives virtual humans the appearance of being involved in their o ...
... those in video games) often suffer from the fact that their virtual inhabitants give no impression of having an existence beyond their interactions with human users [10]. This paper will describe an intelligent agent architecture which gives virtual humans the appearance of being involved in their o ...
Preface - Beck-Shop
... achieves and/or maintains given goals and prove some new results about the complexity of the agent design problem under various assumptions. They look at optimistic agent design, where the agent is only required to achieve/maintain its goals for some execution of the specified environment. They also ...
... achieves and/or maintains given goals and prove some new results about the complexity of the agent design problem under various assumptions. They look at optimistic agent design, where the agent is only required to achieve/maintain its goals for some execution of the specified environment. They also ...
A neural model of hierarchical reinforcement learning
... produce different Q values in different contexts with a single set of connection weights. This allows the system to represent and swap between different policies simply by changing the context representation in the s input, without changing any of the structural aspects of the model. The next questi ...
... produce different Q values in different contexts with a single set of connection weights. This allows the system to represent and swap between different policies simply by changing the context representation in the s input, without changing any of the structural aspects of the model. The next questi ...
Determining the number of model runs: Treating cognitive models as
... should be used. For example, we have run a Soar model for 100 hours to compute predictions, only to discover with a bit of mental effort that a closed form iterative function would provide the same data in 6 s on a slower machine (Ritter, 1988). When runs are inexpensive, using a very large number o ...
... should be used. For example, we have run a Soar model for 100 hours to compute predictions, only to discover with a bit of mental effort that a closed form iterative function would provide the same data in 6 s on a slower machine (Ritter, 1988). When runs are inexpensive, using a very large number o ...
a Temporal-Causal Network Modelling Approach
... transforming them into an executable format and performing simulation experiments. The temporal-causal network modelling format used makes it easy to take into account theories and findings about complex brain processes known from Cognitive, Affective and Social Neuroscience, which, for example, oft ...
... transforming them into an executable format and performing simulation experiments. The temporal-causal network modelling format used makes it easy to take into account theories and findings about complex brain processes known from Cognitive, Affective and Social Neuroscience, which, for example, oft ...
Using a cognitive architecture in educational and recreational games
... Cognitive models have proven to be a valuable research tool in advancing our understanding of human cognition. Because of their ability to model human behavior, cognitive models also have a great potential for use outside of research, such as in educational or recreational settings. In this role, th ...
... Cognitive models have proven to be a valuable research tool in advancing our understanding of human cognition. Because of their ability to model human behavior, cognitive models also have a great potential for use outside of research, such as in educational or recreational settings. In this role, th ...
Multi-Agent Systems - AI-MAS
... knowledge - John knows humans are mortal beliefs - John took his umbrella because he believed it was going to ...
... knowledge - John knows humans are mortal beliefs - John took his umbrella because he believed it was going to ...
Modeling the auditory pathway - Computer Science
... To discuss possible approaches to the construction and validation of a model of the auditory pathway. ...
... To discuss possible approaches to the construction and validation of a model of the auditory pathway. ...
Navigate Like a Cabbie: Probabilistic Reasoning from Observed
... which can be learned more precisely. PROCAB probabilistically models a distribution over all behaviors (i.e., sequences of actions) [27] using the principle of maximum entropy [9] within the framework of inverse reinforcement learning [18]. In vehicle navigation, roads in the road network differ by ...
... which can be learned more precisely. PROCAB probabilistically models a distribution over all behaviors (i.e., sequences of actions) [27] using the principle of maximum entropy [9] within the framework of inverse reinforcement learning [18]. In vehicle navigation, roads in the road network differ by ...
Introduction to Autonomous Agents and Multi
... - The first international meeting ICMAS, happened for the first time in 1995 in the US. - The Workshop on Agent Theories, Architectures, and Languages (ATAL) is launched in the ECAI in 1994 - Finally the Internacional Autonomous Agents Conference (Autonomous Agents- AA), held in 1997 a 1999 in th ...
... - The first international meeting ICMAS, happened for the first time in 1995 in the US. - The Workshop on Agent Theories, Architectures, and Languages (ATAL) is launched in the ECAI in 1994 - Finally the Internacional Autonomous Agents Conference (Autonomous Agents- AA), held in 1997 a 1999 in th ...
Episodic memory as a prerequisite for online updates
... structural form of the model is a priori unknown (Kemp & Tenenbaum, 2008), then only a subset of candidate models can be tracked at any given time, since the memory cost of retaining even such compressed statistics becomes prohibitive for an infinite set of models. The inevitable information loss re ...
... structural form of the model is a priori unknown (Kemp & Tenenbaum, 2008), then only a subset of candidate models can be tracked at any given time, since the memory cost of retaining even such compressed statistics becomes prohibitive for an infinite set of models. The inevitable information loss re ...