1994-Learning to Coordinate without Sharing Information
... techniques of developing policies to optimize environmental feedback, through a mapping between perceptions and actions, can be used by multiple agents to learn coordination strategies without having to rely on shared information. These agents, though working in a common environment, are unaware of ...
... techniques of developing policies to optimize environmental feedback, through a mapping between perceptions and actions, can be used by multiple agents to learn coordination strategies without having to rely on shared information. These agents, though working in a common environment, are unaware of ...
CMSC 372 Artificial Intelligence
... it access to the complete state of the environment at each point in time. • Deterministic (vs. stochastic): The next state of the environment is completely determined by the current state and the action executed by the agent. (If the environment is deterministic except for the actions of other agent ...
... it access to the complete state of the environment at each point in time. • Deterministic (vs. stochastic): The next state of the environment is completely determined by the current state and the action executed by the agent. (If the environment is deterministic except for the actions of other agent ...
ID2209 Distributed Artificial Intelligence and Intelligent Agents
... • Jennings and Wooldridge: – “[In contrast with objects, we] think of agents as encapsulating behavior, in addition to state. An object does not encapsulate behavior: it has no control over the execution of methods – if an object x invokes a method m on an object y, then y has no control over whethe ...
... • Jennings and Wooldridge: – “[In contrast with objects, we] think of agents as encapsulating behavior, in addition to state. An object does not encapsulate behavior: it has no control over the execution of methods – if an object x invokes a method m on an object y, then y has no control over whethe ...
Imitation as Faithful Copying of a Novel Technique in Marmoset
... can have just two states (contracted or relaxed – a clearly insufficient assumption here) means that 4610180 motor programs would be necessary to yield a complete set of simple movement patterns to choose from [28]. This exceeds both the memory capacity and computation time of any matching mechanism ...
... can have just two states (contracted or relaxed – a clearly insufficient assumption here) means that 4610180 motor programs would be necessary to yield a complete set of simple movement patterns to choose from [28]. This exceeds both the memory capacity and computation time of any matching mechanism ...
Using Distributed Data Mining and Distributed Artificial
... where it came from as well as the other agents which also hold it to exclude it from their rules set. After all rules in all agents have been analyzed, they must be tested against each agent’ s validation set (10%). The agent’ s rules whose accuracy against its validation set is the highest will int ...
... where it came from as well as the other agents which also hold it to exclude it from their rules set. After all rules in all agents have been analyzed, they must be tested against each agent’ s validation set (10%). The agent’ s rules whose accuracy against its validation set is the highest will int ...
Learning multiple layers of representation
... to be generated by one of the component distributions in the mixture and it is easy to compute the density under each of the component distributions. If factor analysis is generalized to allow non-gaussian hidden variables, it can model the development of low-level visual receptive fields [12]. Howe ...
... to be generated by one of the component distributions in the mixture and it is easy to compute the density under each of the component distributions. If factor analysis is generalized to allow non-gaussian hidden variables, it can model the development of low-level visual receptive fields [12]. Howe ...
AI and Cinema - Does artificial insanity rule?
... better judgement about what is or is not a likely strategy, and have good heuristics (“rules of thumb”) about what to do and when. Deep Blue can only play chess. Chess and mathematics are domains where “exact” reasoning skills are taken to the limits, but these are exactly where computers have stre ...
... better judgement about what is or is not a likely strategy, and have good heuristics (“rules of thumb”) about what to do and when. Deep Blue can only play chess. Chess and mathematics are domains where “exact” reasoning skills are taken to the limits, but these are exactly where computers have stre ...
Modelling Equidistant Frequency Permutation
... The symmetry breaking constraints in the non-Boolean model are removed, because they contradict those in the Boolean model. The Boolean model has three sets of constraints other than the symmetry breaking constraints. Inspection of each set suggests that they will provide no useful propagation, beca ...
... The symmetry breaking constraints in the non-Boolean model are removed, because they contradict those in the Boolean model. The Boolean model has three sets of constraints other than the symmetry breaking constraints. Inspection of each set suggests that they will provide no useful propagation, beca ...
Learning Where (Not) To Cache: A Cognitive Model for Corvids
... settings; see Table 1. These values were chosen after a comprehensive search for good fits, in all of the model’s plausible parameter space. However, as Roberts and Pashler (2000) point out, the fact that a theory with free parameters is capable of reproducing empirical data is not in itself that in ...
... settings; see Table 1. These values were chosen after a comprehensive search for good fits, in all of the model’s plausible parameter space. However, as Roberts and Pashler (2000) point out, the fact that a theory with free parameters is capable of reproducing empirical data is not in itself that in ...
Hierarchical Processing of Auditory Objects in Humans
... and modulation of connection from HG ! PT during the analysis of the spectral envelope. In addition to the individual inference, Table 1 shows the group Bayes factor (GBF) for model 1 with respect to the other 15 models. Given candidate hypotheses (models) i and j, a Bayes factor of 150 corresponds ...
... and modulation of connection from HG ! PT during the analysis of the spectral envelope. In addition to the individual inference, Table 1 shows the group Bayes factor (GBF) for model 1 with respect to the other 15 models. Given candidate hypotheses (models) i and j, a Bayes factor of 150 corresponds ...
Options for Stage II
... Additional course notes (basic and related technical papers). Anonymous feedback questionnaire (with space for free-form crticism/praise) will be on-line towards the end of the course. Previous year’s Co631* grade average: (07, 23) 70% (08, 42) 61% ...
... Additional course notes (basic and related technical papers). Anonymous feedback questionnaire (with space for free-form crticism/praise) will be on-line towards the end of the course. Previous year’s Co631* grade average: (07, 23) 70% (08, 42) 61% ...
The Emergence of Rule-Use: A Dynamic Neural Field Model of... Aaron Buss ()
... describing children’s behavior in terms of ‘rules’ raises some critical questions about the nature of the cognitive processes at work. It is unclear, for instance, how a hierarchical rule structure could be implemented in real-time in a nervous system. Similarly, ties to known changes in neural deve ...
... describing children’s behavior in terms of ‘rules’ raises some critical questions about the nature of the cognitive processes at work. It is unclear, for instance, how a hierarchical rule structure could be implemented in real-time in a nervous system. Similarly, ties to known changes in neural deve ...
The Intellectual Development and Structure of Decision
... by incorporating machine learning capabilities for model management . the system adapts itself to the environment through continuously updating and refining the knowledge-base . (6) Model integration using metagraph: the process of model integration can be significantly expedited by utilizing certai ...
... by incorporating machine learning capabilities for model management . the system adapts itself to the environment through continuously updating and refining the knowledge-base . (6) Model integration using metagraph: the process of model integration can be significantly expedited by utilizing certai ...
A Point Process Model for Auditory Neurons Considering
... The CIF is for a point process a history-dependent generalization of the rate function of a Poisson process. To obtain a discrete formulation of the CIF we choose K sufficiently large so that each subinterval Δ = K−1T contains at most one spike. We index the subintervals k = 1, …, K and define nk to ...
... The CIF is for a point process a history-dependent generalization of the rate function of a Poisson process. To obtain a discrete formulation of the CIF we choose K sufficiently large so that each subinterval Δ = K−1T contains at most one spike. We index the subintervals k = 1, …, K and define nk to ...
Large-scale cognitive model design using the Nengo neural simulator
... cognitive representations (that is distinct from the compression operator for vision, motor control, etc.). Specifically, the SPA uses circular convolution Plate (1991) coupled with neural saturation to fulfill this role. Circular convolution is one of a class of operators that have been proposed to ...
... cognitive representations (that is distinct from the compression operator for vision, motor control, etc.). Specifically, the SPA uses circular convolution Plate (1991) coupled with neural saturation to fulfill this role. Circular convolution is one of a class of operators that have been proposed to ...
PDF
... independent attributes and their outcomes and isolates outliers. The C5.0 DT model is a recent invented DT algorithm; it includes discretization of numerical attributes using information theory based functions, boosting, pre and post-pruning and some other state-ofthe-art options for building DT mod ...
... independent attributes and their outcomes and isolates outliers. The C5.0 DT model is a recent invented DT algorithm; it includes discretization of numerical attributes using information theory based functions, boosting, pre and post-pruning and some other state-ofthe-art options for building DT mod ...
myworld: an agent-oriented testbed for distributed artificial intelligence
... years old; even by the standards of AI, this makes it something of an infant. In all sciences at such an early stage of evolution, experimentation must play a key role, developing the concepts that formalists ultimately transform into mathematical theories. In DAI, many software tools have been deve ...
... years old; even by the standards of AI, this makes it something of an infant. In all sciences at such an early stage of evolution, experimentation must play a key role, developing the concepts that formalists ultimately transform into mathematical theories. In DAI, many software tools have been deve ...
Actor-Critic Models of Reinforcement Learning in the Basal Ganglia
... The two main principles of Actor-Critic models that lead to consider them as a good representation of the role of the basal ganglia in reinforcement learning of motor behaviors are (i): the implementation of a Temporal Difference (TD) learning rule which leads to translate progressively reinforcemen ...
... The two main principles of Actor-Critic models that lead to consider them as a good representation of the role of the basal ganglia in reinforcement learning of motor behaviors are (i): the implementation of a Temporal Difference (TD) learning rule which leads to translate progressively reinforcemen ...
BvP neurons exhibit a larger variety in statistics of inter
... of (CV,SK) lie outside of the small region, and the magnitude of the deviations correspond to input correlations on a scale of hundreds of milliseconds in the LIF model.2) The relationship between input and output statistics generally depends on the spiking mechanism of the neuron. It is known that ...
... of (CV,SK) lie outside of the small region, and the magnitude of the deviations correspond to input correlations on a scale of hundreds of milliseconds in the LIF model.2) The relationship between input and output statistics generally depends on the spiking mechanism of the neuron. It is known that ...
One-class to multi-class model update using the class
... AI Researcher Symposium (STAIRS). The papers from PAIS are included in this volume, while the papers from STAIRS are published in a separate volume. ECAI 2016 also featured a special topic on Artificial Intelligence for Human Values, with a dedicated track and a public event in the Peace Palace in T ...
... AI Researcher Symposium (STAIRS). The papers from PAIS are included in this volume, while the papers from STAIRS are published in a separate volume. ECAI 2016 also featured a special topic on Artificial Intelligence for Human Values, with a dedicated track and a public event in the Peace Palace in T ...
Application of Qualitative Reasoning to Robotic Soccer
... clear distinction whether to say inReach must be true if an object is in a 1 or 1.1 meter distance from the agent. However, because we are dealing with predicates this sharp boundary cannot be avoided. Another more severe problem is entailed by reality. In a real environment the world model is not o ...
... clear distinction whether to say inReach must be true if an object is in a 1 or 1.1 meter distance from the agent. However, because we are dealing with predicates this sharp boundary cannot be avoided. Another more severe problem is entailed by reality. In a real environment the world model is not o ...
PDF File - School of Computer Science and Statistics
... some model must be maintained so as to maintain realism. The player may well encounter NPC3 in later time periods and a model will be required. The key goal here then is determining how much must be modelled in order to maintain realism and believability. To further illustrate the difference between ...
... some model must be maintained so as to maintain realism. The player may well encounter NPC3 in later time periods and a model will be required. The key goal here then is determining how much must be modelled in order to maintain realism and believability. To further illustrate the difference between ...
Pogamut 3 Can Assist Developers in Building AI (Not Only) for Their
... their work, have to be solved. For instance, they have to integrate their agent within a particular 3D environment, develop at least simple debugging tools or write a code for low-level movement of their agents. This list may continue for pages and developers address these issues over and over, in m ...
... their work, have to be solved. For instance, they have to integrate their agent within a particular 3D environment, develop at least simple debugging tools or write a code for low-level movement of their agents. This list may continue for pages and developers address these issues over and over, in m ...
Designing an Automated Negotiator: Learning What to Bid and
... of themes. First, we believe there is still room for improvement in both opponent preference estimation and strategy prediction methods, and we think online genetic algorithms can be promising in this regard. Also, learning across multiple negotiation sessions (against different opponents, and acros ...
... of themes. First, we believe there is still room for improvement in both opponent preference estimation and strategy prediction methods, and we think online genetic algorithms can be promising in this regard. Also, learning across multiple negotiation sessions (against different opponents, and acros ...
The Hippocampal-Entorhinal Complex performs Bayesian
... there have been a large number of empirical findings supporting the idea that the Hippocampal-Entorhinal Complex (HEC) is a major neuronal correlate underlying spatial localization and mapping [3]. To keep track of their location when they move, mammals must integrate self-motion signals and use the ...
... there have been a large number of empirical findings supporting the idea that the Hippocampal-Entorhinal Complex (HEC) is a major neuronal correlate underlying spatial localization and mapping [3]. To keep track of their location when they move, mammals must integrate self-motion signals and use the ...