13 citations · 49 across the 24 of their papers we have counts for
28 papers
Exemplars can Reciprocate Principal Components
Kieran Greer
This paper presents a clustering algorithm that is an extension of the Category Trees algorithm. Category Trees is a clustering method that creates tree structures that branch on c…
New Ideas for Brain Modelling 7
Kieran Greer
This paper updates the cognitive model, firstly by creating two systems and then unifying them over the same structure. It represents information at the semantic level only, where…
An Entropy Equation for Energy
Kieran Greer
This paper describes an entropy equation, but one that should be used for measuring energy and not information. In relation to the human brain therefore, both of these quantities c…
How the Brain might use Division
Kieran Greer
One of the most fundamental questions in Biology or Artificial Intelligence is how the human brain performs mathematical functions. How does a neural architecture that may organise…
Image Recognition using Region Creep
Kieran Greer
This paper describes a new type of auto-associative image classifier that uses a shallow architecture with a very quick learning phase. The image is parsed into smaller areas and e…
A Pattern-Hierarchy Classifier for Reduced Teaching
Kieran Greer
This paper describes a design that can be used for Explainable AI. The lower level is a nested ensemble of patterns created by self-organisation. The upper level is a hierarchical…
A Concept-Value Network as a Brain Model
Kieran Greer
This paper suggests a statistical framework for describing the relations between the physical and conceptual entities of a brain-like model. Features and concept instances are put…
Category Trees
Kieran Greer
This paper presents a batch classifier that has been improved from the earlier version and fixed a mistake in the earlier paper. Two important changes have been made. Each category…
An Improved Oscillating-Error Classifier with Branching
Kieran Greer
This paper extends the earlier work on an oscillating error correction technique. Specifically, it extends the design to include further corrections, by adding new layers to the cl…
The Autonomic Architecture of the Licas System
Kieran Greer
Licas (lightweight internet-based communication for autonomic services) is a distributed framework for building service-based systems. The framework provides a p2p server and more…
Adding Context to Concept Trees
Kieran Greer
A Concept Tree is a structure for storing knowledge where the trees are stored in a database called a Concept Base. It sits between the highly distributed neural architectures and…
A Repeated Signal Difference for Recognising Patterns
Kieran Greer
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 osc…
A Brain-like Cognitive Process with Shared Methods
Kieran Greer
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. The model is based on th…
A New Oscillating-Error Technique for Classifiers
Kieran Greer
This paper describes a new method for reducing the error in a classifier. It uses an error correction update that includes the very simple rule of either adding or subtracting the…
A More Human Way to Play Computer Chess
Kieran Greer
This paper suggests a forward-pruning technique for computer chess that uses 'Move Tables', which are like Transposition Tables, but for moves not positions. They use an efficient…
A Single-Pass Classifier for Categorical Data
Kieran Greer
This paper describes a new method for classifying a dataset that partitions elements into their categories. It has relations with neural networks but a slightly different structure…
Arguments for Nested Patterns in Neural Ensembles
Kieran Greer
This paper describes a relatively simple way of allowing a brain model to self-organise its concept patterns through nested structures. Time is a key element and a simulator would…
Turing: Then, Now and Still Key
Kieran Greer
This paper looks at Turing's postulations about Artificial Intelligence in his paper 'Computing Machinery and Intelligence', published in 1950. It notes how accurate they were and…
Artificial Neuron Modelling Based on Wave Shape
Kieran Greer
This paper describes a new model for an artificial neural network processing unit or neuron. It is slightly different to a traditional feedforward network by the fact that it favou…
Dynamic Move Chains -- a Forward Pruning Approach to Tree Search in Computer Chess
Kieran Greer
This paper proposes a new mechanism for pruning a search game-tree in computer chess. The algorithm stores and then reuses chains or sequences of moves, built up from previous sear…
A Metric for Modelling and Measuring Complex Behavioural Systems
Kieran Greer
This paper describes a metric for measuring the success of a complex system composed of agents performing autonomous behaviours. Because of the difficulty in evaluating such system…
Clustering Concept Chains from Ordered Data without Path Descriptions
Kieran Greer
This paper describes a process for clustering concepts into chains from data presented randomly to an evaluating system. There are a number of rules or guidelines that help the sys…
Evaluating Dynamic Linking through the Query Process using the Licas Test Platform
Kieran Greer
A novel linking mechanism has been described previously [4] that can be used to autonomously link sources that provide related answers to queries executed over an information netwo…
The Obvious Solution to Semantic Mapping -- Ask an Expert
Kieran Greer
The semantic mapping problem is probably the main obstacle to computer-to-computer communication. If computer A knows that its concept X is the same as computer B's concept Y, then…