Computing with Spiking Neuron Networks
... of that postsynaptic neuron, in particular the membrane potential, typically making the neuron more or less likely to fire for some duration of time. The transient impact a spike has on the neuron’s membrane potential is generally referred to as the postsynaptic potential, or PSP, and the PSP can ei ...
... of that postsynaptic neuron, in particular the membrane potential, typically making the neuron more or less likely to fire for some duration of time. The transient impact a spike has on the neuron’s membrane potential is generally referred to as the postsynaptic potential, or PSP, and the PSP can ei ...
Temporal Lobe Epilepsy
... The Electroencephalograph (EEG) signals involve a great deal of information about the function of the brain. Electroencephalogram (EEG test) has important role in the diagnosis of epilepsy. Epilepsy is classified as epileptic waves, which include individual spikes, sharps, spike slows complexes, and ...
... The Electroencephalograph (EEG) signals involve a great deal of information about the function of the brain. Electroencephalogram (EEG test) has important role in the diagnosis of epilepsy. Epilepsy is classified as epileptic waves, which include individual spikes, sharps, spike slows complexes, and ...
Swarm Intelligence based Soft Computing Techniques for the
... time. They performed various experiments to test the Schaffer’s f6 function, a benchmark function, and concluded that the PSO with the inertia weight in the range [0.9, 1.2] on average will have a better performance. They also introduced the concept of time decreasing inertia weight to improve the P ...
... time. They performed various experiments to test the Schaffer’s f6 function, a benchmark function, and concluded that the PSO with the inertia weight in the range [0.9, 1.2] on average will have a better performance. They also introduced the concept of time decreasing inertia weight to improve the P ...
Collapsing Distinctions: Interacting within Fields of Intelligence on
... activity and environments for exploration. Communication in music is, and this chapter will argue that all communication is, fundamentally co-creative. Finally, music involves discovering forms of intelligence, the fundamental nature of which cannot be known in advance. Sometimes, these may be imbed ...
... activity and environments for exploration. Communication in music is, and this chapter will argue that all communication is, fundamentally co-creative. Finally, music involves discovering forms of intelligence, the fundamental nature of which cannot be known in advance. Sometimes, these may be imbed ...
Planning - Xavier Institute of Management Bhubaneswar (XIMB)
... Tanimoto's text concentrates on operator-based planning. First, it presents a simple linear planner (in Common Lisp) that uses iterative deepening depth first search. This is then used to motivate hierarchical planning and STRIPS-based operator schema. A planning algorithm that uses a propositional ...
... Tanimoto's text concentrates on operator-based planning. First, it presents a simple linear planner (in Common Lisp) that uses iterative deepening depth first search. This is then used to motivate hierarchical planning and STRIPS-based operator schema. A planning algorithm that uses a propositional ...
International Electrical Engineering Journal (IEEJ)
... electric power system is an essential task, since it is required to determine the optimal output of electricity generating facilities, supplying the power to meet load demand at minimum cost while satisfying transmission and operational constraints. Several techniques were applied to solve the econo ...
... electric power system is an essential task, since it is required to determine the optimal output of electricity generating facilities, supplying the power to meet load demand at minimum cost while satisfying transmission and operational constraints. Several techniques were applied to solve the econo ...
associations
... of the output space is M. wij is the weight from neuron j to neuron i. aj is the activation of a neuron j. •The activation of each neuron is produced by using a suitable threshold function and a threshold. For example we can assume that the activations are binary (i.e. either 0 or 1) and to achieve ...
... of the output space is M. wij is the weight from neuron j to neuron i. aj is the activation of a neuron j. •The activation of each neuron is produced by using a suitable threshold function and a threshold. For example we can assume that the activations are binary (i.e. either 0 or 1) and to achieve ...
Ant colony optimization - Donald Bren School of Information and
... and data mining inspired by ants’ cemetery building behavior [55,63], those for dynamic task allocation inspired by the behavior of wasp colonies [22], and particle swarm optimization [58]. Seen from the operations research (OR) perspective, ACO algorithms belong to the class of metaheuristics [13, ...
... and data mining inspired by ants’ cemetery building behavior [55,63], those for dynamic task allocation inspired by the behavior of wasp colonies [22], and particle swarm optimization [58]. Seen from the operations research (OR) perspective, ACO algorithms belong to the class of metaheuristics [13, ...
Biologically Plausible Error-driven Learning using Local Activation
... Tesauro, 1990), but this merely replaces one kind of non-locality with another, activation-based kind of nonlocality (and the problem of maintaining two sets of weights). Another approach uses a global reinforcement signal instead of specific error signals (Mazzoni, Andersen, & Jordan, 1991), but th ...
... Tesauro, 1990), but this merely replaces one kind of non-locality with another, activation-based kind of nonlocality (and the problem of maintaining two sets of weights). Another approach uses a global reinforcement signal instead of specific error signals (Mazzoni, Andersen, & Jordan, 1991), but th ...
PMAPh_Kirke_AISB_final6
... Previous work on unconventional computing and music has focused on using unconventional computation methods as engines for new modes of musical expression. For example using in vitro neural networks [1] or slime molds [2] to drive a sound synthesizer. The research has not focused on studying the com ...
... Previous work on unconventional computing and music has focused on using unconventional computation methods as engines for new modes of musical expression. For example using in vitro neural networks [1] or slime molds [2] to drive a sound synthesizer. The research has not focused on studying the com ...
self-organising map
... is competitive learning among the neurons of the output layer (i.e. on the presentation of an input pattern only one neuron wins the competition – this is called a winner); •The ...
... is competitive learning among the neurons of the output layer (i.e. on the presentation of an input pattern only one neuron wins the competition – this is called a winner); •The ...
Sequencing Operator Counts
... l. Either all actions are uniform cost which can be assumed to be 1, or there exists a minimum cost difference between operators δ = min(c(o) − c(o0 )|o, o0 ∈ O ∧ c(o) > c(o0 )). If 0 < < δl , the sum of -cost actions in an optimal plan must be less than δ, and thus can only change the cost-order ...
... l. Either all actions are uniform cost which can be assumed to be 1, or there exists a minimum cost difference between operators δ = min(c(o) − c(o0 )|o, o0 ∈ O ∧ c(o) > c(o0 )). If 0 < < δl , the sum of -cost actions in an optimal plan must be less than δ, and thus can only change the cost-order ...
Intelligent Environments
... Computer Science and Engineering University of Texas at Arlington Intelligent Environments ...
... Computer Science and Engineering University of Texas at Arlington Intelligent Environments ...
mohammad.ghoniem.info
... 2000; Jussien & Lhomme 2002). However, explanations, as we defined them, provide insightful information about the constraint solver dynamics. Explanations induce a pair of networks, the first one links the constraints that cooperate at some level to solve the problem, whereas the second network rela ...
... 2000; Jussien & Lhomme 2002). However, explanations, as we defined them, provide insightful information about the constraint solver dynamics. Explanations induce a pair of networks, the first one links the constraints that cooperate at some level to solve the problem, whereas the second network rela ...
Feature selection and extraction
... relationship with the class. (So one of them is redundant, right?) On the right, one variable seems to be useless (Y), the other (X) seems to carry more information about the class than each of the variables on the left (the “peaks” are better separated). ■ The situation on the right is the same as ...
... relationship with the class. (So one of them is redundant, right?) On the right, one variable seems to be useless (Y), the other (X) seems to carry more information about the class than each of the variables on the left (the “peaks” are better separated). ■ The situation on the right is the same as ...
Psychology 100.18
... > Our estimates of how often things occurs or are influenced by the ease with which relevant examples can be remembered > This leads to a number of biases 1) Which is a more likely cause of death in the United States: being killed by falling airplane parts or being killed by a shark? ...
... > Our estimates of how often things occurs or are influenced by the ease with which relevant examples can be remembered > This leads to a number of biases 1) Which is a more likely cause of death in the United States: being killed by falling airplane parts or being killed by a shark? ...
STRIPS: A New Approach to the Application of Theorem Proving to
... This framework for problem solving has been central to much of the research in artificial intelligence [1]. Our primary interest here is in the class of problems faced by a robot in re-arranging objects and in navigating, i.e., problems that require quite complex and general world models compared to ...
... This framework for problem solving has been central to much of the research in artificial intelligence [1]. Our primary interest here is in the class of problems faced by a robot in re-arranging objects and in navigating, i.e., problems that require quite complex and general world models compared to ...
4. example problems solved by strips
... This framework for problem solving has been central to much of the research in artificial intelligence [1]. Our primary interest here is in the class of problems faced by a robot in re-arranging objects and in navigating, i.e., problems that require quite complex and general world models compared to ...
... This framework for problem solving has been central to much of the research in artificial intelligence [1]. Our primary interest here is in the class of problems faced by a robot in re-arranging objects and in navigating, i.e., problems that require quite complex and general world models compared to ...
Monitoring Plan Optimality using Landmarks and
... we define the task of plan optimality monitoring in Definition 7 and note that in this paper we consider that all actions are observed during a plan execution. Definition 7 (Plan Optimality Monitoring Problem). A plan optimality monitoring problem is a tuple Tπ∗ = hΞ, G, Oi, in which Ξ = hΣ, Ai is a ...
... we define the task of plan optimality monitoring in Definition 7 and note that in this paper we consider that all actions are observed during a plan execution. Definition 7 (Plan Optimality Monitoring Problem). A plan optimality monitoring problem is a tuple Tπ∗ = hΞ, G, Oi, in which Ξ = hΣ, Ai is a ...
Case-Based Reasoning
... bases, semantic web, and knowledge management. CBR is to a large degree characterized by the fact that it combines methods from different areas in AI in a particular manner for the purpose of experience-based problem solving. Hence, there is a strong focus on developing frameworks for certain types ...
... bases, semantic web, and knowledge management. CBR is to a large degree characterized by the fact that it combines methods from different areas in AI in a particular manner for the purpose of experience-based problem solving. Hence, there is a strong focus on developing frameworks for certain types ...
Qualitative Spatial Reasoning: Framework and Frontiers
... Diagrams and models seem inextricably linked with human spatial reasoning. Why? The wealth of concrete detail in such analog spatial representations at first might seem more than necessary for most spatial questions. Perhaps there are more abstract representations of shape and space which by themsel ...
... Diagrams and models seem inextricably linked with human spatial reasoning. Why? The wealth of concrete detail in such analog spatial representations at first might seem more than necessary for most spatial questions. Perhaps there are more abstract representations of shape and space which by themsel ...
Introduction to "Mathematical Foundations for Software Engineering"
... ADTs are a very powerful specification technique which exist in many forms (languages). These languages are often given operational semantics in a way similar to TRSs (in fact, they are pretty much equivalent) Most ADTs have the following parts --•A type which is made up from sorts •Sorts which are ...
... ADTs are a very powerful specification technique which exist in many forms (languages). These languages are often given operational semantics in a way similar to TRSs (in fact, they are pretty much equivalent) Most ADTs have the following parts --•A type which is made up from sorts •Sorts which are ...
A Market-Based Study of Optimal ATM`S Deployment Strategy
... institution. Consumers continue to list the location of ATMs as one of their most important criteria in choosing a financial institution, for that banks are willing investment more ATMs for the purposes of providing greater convenience and attracting more customers. But there must be some equilibriu ...
... institution. Consumers continue to list the location of ATMs as one of their most important criteria in choosing a financial institution, for that banks are willing investment more ATMs for the purposes of providing greater convenience and attracting more customers. But there must be some equilibriu ...
Artificial Intelligence Experimental results on the crossover point in
... time, or that virtually none do. Similarly, the exponential factor might be so large that a three-variable problem is unsolvable, or so small that the problems do not become intractable in practice until the problem size is larger than we can even write down. Alternatively, there might be a problem ...
... time, or that virtually none do. Similarly, the exponential factor might be so large that a three-variable problem is unsolvable, or so small that the problems do not become intractable in practice until the problem size is larger than we can even write down. Alternatively, there might be a problem ...
Neural Crest - bthsresearch
... – Cartilage, bone, cranial neurons, glia and connective tissues of the face, bones of middle ear, jaw, tooth primordia ...
... – Cartilage, bone, cranial neurons, glia and connective tissues of the face, bones of middle ear, jaw, tooth primordia ...