Search Results for author:
Found 27 papers, 0 papers with code
Exemplars can Reciprocate Principal Components
Each tree branches to store subsets of other categories, but the rows in those subsets may also be related.
New Ideas for Brain Modelling 7
The earlier models are still consistent in terms of their proposed functionality, but some of the architecture boundaries have been moved to match them up more closely.
An Entropy Equation for Energy
The equation is so simplistic and generic that it can offer arguments for completely different domains, where the journey ends with a discussion about global energy properties in physics and beyond.
New Ideas for Brain Modelling 6
The top-level cognitive layer has been re-designed to model the Cognitive Process Language (CPL) of an earlier paper, by refactoring it into a network structure with a light scheduler.
How the Brain might use Division
In this paper, the author suggests that the maths question can be answered more easily if the problem is changed into one of symbol manipulation and not just number counting.
Image Recognition using Region Creep
These areas can overlap with each other and when moving from a region to its neighbours, there is likely to be only small changes in the area image part.
A Pattern-Hierarchy Classifier for Reduced Teaching
Lower-level pattern ensembles are learned in an unsupervsised manner and then split into branches when it is clear that the category has changed.
Category Trees
Each category is represented by a classifier, where each classifier classifies its own subset of data rows, using batch input values to represent the centroid.
New Ideas for Brain Modelling 5
It is based on the functionality that a human brain might have, which is a highly distributed network of simple neuronal components that can apply some level of matching and cross-referencing over retrieved patterns.
An Improved Oscillating-Error Classifier with Branching
This paper extends the earlier work on an oscillating error correction technique.
New Ideas for Brain Modelling 4
For image processing, a grid-like structure is used with 'full linking'.
New Ideas for Brain Modelling 3
This paper considers a process for the creation and subsequent firing of sequences of neuronal patterns, as might be found in the human brain.
Adding Context to Concept Trees
A Concept Tree is a structure for storing knowledge where the trees are stored in a database called a Concept Base.
A Repeated Signal Difference for Recognising Patterns
This paper describes a new mechanism that might help with defining pattern sequences, by the fact that it can produce an upper bound on the ensemble value that can persistently oscillate with the actual values produced from each pattern.
A Brain-like Cognitive Process with Shared Methods
This paper describes a new entropy-style of equation that may be useful in a general sense, but can be applied to a cognitive model with related processes.
A New Oscillating-Error Technique for Classifiers
This paper describes a new method for reducing the error in a classifier.
A More Human Way to Play Computer Chess
This has completed the theory of an earlier paper and resulted in a more human-like approach to searching for a chess move.
A Single-Pass Classifier for Categorical Data
This paper describes a new method for classifying a dataset that partitions elements into their categories.
New Ideas for Brain Modelling 2
This paper describes a relatively simple way of allowing a brain model to self-organise its concept patterns through nested structures.
Arguments for Nested Patterns in Neural Ensembles
This paper describes a relatively simple way of allowing a brain model to self-organise its concept patterns through nested structures.
Turing: Then, Now and Still Key
This paper looks at Turing's postulations about Artificial Intelligence in his paper 'Computing Machinery and Intelligence', published in 1950.
Artificial Neuron Modelling Based on Wave Shape
This paper describes a new model for an artificial neural network processing unit or neuron.
Is Intelligence Artificial?
This paper agrees that intelligence is a pro-active event, but also notes a second aspect to it that is in the background and mechanical.
New Ideas for Brain Modelling
This is a group of neurons that by joining together can produce a more analogue system, but with the same level of control and reliability that a binary neuron would have.
Clustering Concept Chains from Ordered Data without Path Descriptions
Key to this is a count for both the concept itself and also the group or chain that it belongs to.
Dynamic Move Chains -- a Forward Pruning Approach to Tree Search in Computer Chess
A typical search process might retrieve a move from a Transposition Table, where the decision of what move to retrieve would be based on the position itself.
