bod02a - Carnegie Mellon School of Computer Science
... there may be hidden derivations which the relative-frequency estimator cannot deal with.1 There are estimation procedures that do take into account hidden derivations and that maximize the likelihood of the training data. For example, Bod (2000b) presents a Likelihood-DOP model which estimates the s ...
... there may be hidden derivations which the relative-frequency estimator cannot deal with.1 There are estimation procedures that do take into account hidden derivations and that maximize the likelihood of the training data. For example, Bod (2000b) presents a Likelihood-DOP model which estimates the s ...
Two Paradigms Are Better Than One, And Multiple
... whose intelligence is at the level of ants. A society of such agents can cooperate in defending the colony, searching for food, and caring for the eggs and larvae. But no one has shown how a colony of ants could understand language or do complex reasoning and planning. Complex rational agents and s ...
... whose intelligence is at the level of ants. A society of such agents can cooperate in defending the colony, searching for food, and caring for the eggs and larvae. But no one has shown how a colony of ants could understand language or do complex reasoning and planning. Complex rational agents and s ...
Impossibles AIBO Four-Legged Team Description Paper
... approaches are run in these cases to realize the reason of being blocked. SVS is exploited, because GVS has failed to detect objects exactly in order to let DM module decide what to do properly. Additionally, post-Kidnapped state is happened in few moments. As a case in point, having booked, the rob ...
... approaches are run in these cases to realize the reason of being blocked. SVS is exploited, because GVS has failed to detect objects exactly in order to let DM module decide what to do properly. Additionally, post-Kidnapped state is happened in few moments. As a case in point, having booked, the rob ...
session02
... Rational agents • Rational Agent: For each possible percept sequence, a rational agent should select an action that is expected to maximize its performance measure, given the evidence provided by the percept sequence and whatever built-in knowledge the agent has. ...
... Rational agents • Rational Agent: For each possible percept sequence, a rational agent should select an action that is expected to maximize its performance measure, given the evidence provided by the percept sequence and whatever built-in knowledge the agent has. ...
A Tractable Heuristic that Maximizes Global Utility through Local
... and value function of the plan Pi, respectively. Then the value density d~ is defined to be vdti. 1 In economic terms, this is exactly the marginal utilitT/(with respect to time) of pi. In economics, marginal utility serves as the basic measure of the efficiency of aggregated productivity. Marginal ...
... and value function of the plan Pi, respectively. Then the value density d~ is defined to be vdti. 1 In economic terms, this is exactly the marginal utilitT/(with respect to time) of pi. In economics, marginal utility serves as the basic measure of the efficiency of aggregated productivity. Marginal ...
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 ...
Theroleofdendritesinauditory coincidence detection
... may be understood. Our results show that, in these neurons, the cell morphology and the spatial distribution of the inputs enrich the computational power of these neurons beyond that expected from ‘point neurons’ (model neurons lacking dendrites). Over the past 40 years it has become widely accepted ...
... may be understood. Our results show that, in these neurons, the cell morphology and the spatial distribution of the inputs enrich the computational power of these neurons beyond that expected from ‘point neurons’ (model neurons lacking dendrites). Over the past 40 years it has become widely accepted ...
Agent - klncecse
... To do this efficiently, agents must have the ability to reason with their knowledge about the world and the problem domain which path to follow (which action to choose from) next how to determine if a goal state is reached OR how decide if a satisfactory state has been reached. ...
... To do this efficiently, agents must have the ability to reason with their knowledge about the world and the problem domain which path to follow (which action to choose from) next how to determine if a goal state is reached OR how decide if a satisfactory state has been reached. ...
A Probabilistic Extension of the Stable Model
... Logic Networks. The proposed language, called LPMLN , is a generalization of logic programs under the stable model semantics, and as such, embraces the rich body of research in knowledge representation. The language is also a generalization of ProbLog, and is closely related to Markov Logic Networks ...
... Logic Networks. The proposed language, called LPMLN , is a generalization of logic programs under the stable model semantics, and as such, embraces the rich body of research in knowledge representation. The language is also a generalization of ProbLog, and is closely related to Markov Logic Networks ...
Improving CNN Performance with Min-Max Objective
... its input. Table 2 and Table 3 list the respective comparison results. As can be seen, when no data augmentation is used, compared with the corresponding baseline model, the proposed Min-Max objective and its kernel version can remarkably reduce the test error rates by 4.49%, 5.04% respectively on C ...
... its input. Table 2 and Table 3 list the respective comparison results. As can be seen, when no data augmentation is used, compared with the corresponding baseline model, the proposed Min-Max objective and its kernel version can remarkably reduce the test error rates by 4.49%, 5.04% respectively on C ...
The Model-based Approach to Autonomous Behavior: A
... known, but is characterized by a probability distribution, and the task is to drive the system to a final, fully observable target state. Solutions to POMDPs are closed-loop controllers of a different form that map belief states into actions, with optimal solutions reaching the target state with min ...
... known, but is characterized by a probability distribution, and the task is to drive the system to a final, fully observable target state. Solutions to POMDPs are closed-loop controllers of a different form that map belief states into actions, with optimal solutions reaching the target state with min ...
Aalborg Universitet
... the model. The scoring criterion evaluates the quality of a model with respect to data. The search strategy selects a new model, based on the scoring criterion, from those in the neighborhood of the current best model. Model selection aims to find a high scoring BN model of the learning data. Howeve ...
... the model. The scoring criterion evaluates the quality of a model with respect to data. The search strategy selects a new model, based on the scoring criterion, from those in the neighborhood of the current best model. Model selection aims to find a high scoring BN model of the learning data. Howeve ...
A circular model for song motor control in Serinus canaria
... Song production in songbirds is controlled by a network of nuclei distributed across several brain regions, which drives respiratory and vocal motor systems to generate sound. We built a model for birdsong production, whose variables are the average activities of different neural populations within ...
... Song production in songbirds is controlled by a network of nuclei distributed across several brain regions, which drives respiratory and vocal motor systems to generate sound. We built a model for birdsong production, whose variables are the average activities of different neural populations within ...
Predicting spike timing of neocortical pyramidal neurons by simple
... for largely fluctuating currents, but drops for small fluctuations of the input current. In this paper, we apply a method of rapid parameter extraction (Jolivet et al., 2004) in order to show that a simple threshold model can explain up to 70% of the spike times of a pyramidal neuron under random cu ...
... for largely fluctuating currents, but drops for small fluctuations of the input current. In this paper, we apply a method of rapid parameter extraction (Jolivet et al., 2004) in order to show that a simple threshold model can explain up to 70% of the spike times of a pyramidal neuron under random cu ...
- WestminsterResearch
... associated software tools in supporting innovation and open innovation strategy formulation, processes and diffusion. Part of the research output has been published in the proceedings of an international conference [10] This paper focuses on the use of social media, artificial intelligence (AI), and ...
... associated software tools in supporting innovation and open innovation strategy formulation, processes and diffusion. Part of the research output has been published in the proceedings of an international conference [10] This paper focuses on the use of social media, artificial intelligence (AI), and ...
Leech Heart CPG
... Due to their reciprocally inhibitory synapses the pair of HN(3) neurons can produce oscillations (Fig 4, B). This is the smallest group of cells that can produce oscillations and hence are called the elemental oscillator (Fig 4, C). The HN(4) neurons are also considered as an elemental or half-cente ...
... Due to their reciprocally inhibitory synapses the pair of HN(3) neurons can produce oscillations (Fig 4, B). This is the smallest group of cells that can produce oscillations and hence are called the elemental oscillator (Fig 4, C). The HN(4) neurons are also considered as an elemental or half-cente ...
Wayward Agents in a Commuting Scenario
... Microeconomics and game-theory assume human behaviour to be rational and deductive – deriving a conclusion by perfect logical processes from well-defined premises. But this assumption does not hold especially in interactive situations like the coordination of many agents. There is no a priori best s ...
... Microeconomics and game-theory assume human behaviour to be rational and deductive – deriving a conclusion by perfect logical processes from well-defined premises. But this assumption does not hold especially in interactive situations like the coordination of many agents. There is no a priori best s ...
An Agent Model for Future Autonomic Communications
... Furthermore, it is likely that such environment will have to host also other kinds of “artifacts”, such as tuple spaces, resources, channels and so forth. The execution environment should be as thin as possible: it should provide only the minimal set of basic services to agents (e.g., agent creation ...
... Furthermore, it is likely that such environment will have to host also other kinds of “artifacts”, such as tuple spaces, resources, channels and so forth. The execution environment should be as thin as possible: it should provide only the minimal set of basic services to agents (e.g., agent creation ...
Dropout as a Bayesian Approximation: Representing Model
... can decide when to exploit and when to explore its environment. Recent advances in RL have made use of NNs for Q-value function approximation. These are functions that estimate the quality of different actions an agent can take. Epsilon greedy search is often used where the agent selects its best ac ...
... can decide when to exploit and when to explore its environment. Recent advances in RL have made use of NNs for Q-value function approximation. These are functions that estimate the quality of different actions an agent can take. Epsilon greedy search is often used where the agent selects its best ac ...
Modeling Tonality: Applications to Music Cognition
... new ways to re-conceptualize and reorganize musical information. A hierarchical model, the Spiral Array generates representations for pitches, intervals, chords and keys within a single spatial framework, thus allowing comparisons among elements from different hierarchical levels. The basic idea be ...
... new ways to re-conceptualize and reorganize musical information. A hierarchical model, the Spiral Array generates representations for pitches, intervals, chords and keys within a single spatial framework, thus allowing comparisons among elements from different hierarchical levels. The basic idea be ...
An examination of disparities in cancer incidence in Texas using
... disparities in cancer risk between these populations using current incidence data from a population based cancer registry. Respiratory and digestive system cancers have been identified as often having direct and identifiable causal pathways associated with them, many of which are behaviorally or en ...
... disparities in cancer risk between these populations using current incidence data from a population based cancer registry. Respiratory and digestive system cancers have been identified as often having direct and identifiable causal pathways associated with them, many of which are behaviorally or en ...
PDF (free)
... intelligence and enhanced capacity to predict criminal behavior, location and time, all of which are essential for crime prevention. The ability to predict criminal incidents is vital for all types of law enforcement agencies (Brown & Gunderson, 2001). In the past, crime prediction was regarded as u ...
... intelligence and enhanced capacity to predict criminal behavior, location and time, all of which are essential for crime prevention. The ability to predict criminal incidents is vital for all types of law enforcement agencies (Brown & Gunderson, 2001). In the past, crime prediction was regarded as u ...
New GML-Based Application Schema for Landforms, Processes and
... Geomorphology as the science of the land’s surface investigates landforms, their change, and the processes causing their change all over the world (Hugget 2003). The main problem in comparing results of observations and predictions is that landforms first have a complex 3 dimensional geometry, secon ...
... Geomorphology as the science of the land’s surface investigates landforms, their change, and the processes causing their change all over the world (Hugget 2003). The main problem in comparing results of observations and predictions is that landforms first have a complex 3 dimensional geometry, secon ...
Diagnosis of Coordination Faults: A Matrix
... correctness of the union of their superposition (based on the joint coordination) and their interpreted states (based on the interpretation). To define the normality of the agent we define the predicate AB(ai ) which represents the abnormality of agent ai (failing): Definition 8 (multi-agent system ...
... correctness of the union of their superposition (based on the joint coordination) and their interpreted states (based on the interpretation). To define the normality of the agent we define the predicate AB(ai ) which represents the abnormality of agent ai (failing): Definition 8 (multi-agent system ...
session02
... • Agents have social ability, that is, they communicate with the user, the system, and other agents as required • Agents may also cooperate with other agents to carry out more complex tasks than they themselves can handle • Agents may migrate from one system to another to access remote resources or ...
... • Agents have social ability, that is, they communicate with the user, the system, and other agents as required • Agents may also cooperate with other agents to carry out more complex tasks than they themselves can handle • Agents may migrate from one system to another to access remote resources or ...