Daniel Kudenko, Dimitar Kazakov, Eduardo Alonso
In order to be truly autonomous, agents need the ability to learn from and adapt to the environment and other agents. This chapter introduces key concepts of machine learning and how they apply to...
On The Duality of Semantics and Syntax: The PP Attachment Case (2008)
Dimitar Kazakov, James Cussens, Suresh Man
The Prepositional Phrase (PP) attachment task is notorious within the computational linguists ' community for its ambiguity. When a verb NP PP sequence is observed in a sentence, the task is to...
Rayner Alfred, Dimitar Kazakov
Abstract. Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational database...
Rayner Alfred, Dimitar Kazakov
Abstract. In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets stored in...
Dimitar Kazakov, Mark Bartlett
This article analyses navigation and language parsing as two instances of the same abstract computation, and suggests that the tool needed may have evolved to serve the former task, and was then...
PART I: Evolution of Behaviour and (2008)
Dimitar Kazakov, Daniel Kudenko
� Evolution of Behaviour � Focus topic: evolution of co-ordination through kinship-driven altruism � Machine Learning (ML)
Evolving the Game of Life Abstract (2008)
Dimitar Kazakov, Matthew Sweet
It is difficult to define a set of rules for a cellular automaton (CA) such that creatures with life-like properties (stability and dynamic behaviour, reproducton and self-repair) can be grown from a...
Hooman Amini, Enda Ridge, Dimitar Kazakov
This paper investigates the implementation of a two-dimensional cellular automaton as a multi-agent system using the JADE agent middleware. The agents are distributed on separate computers in a local...
Evolving the Game of Life (2007)
Dimitar Kazakov, Matthew Sweet
It is difficult to define a set of rules for a cellular automaton (CA) such that creatures with life-like properties (stability and dynamic behaviour, reproducton and self-repair) can be grown from a...
Inductive learning of lexical semantics with typed unification grammars
List of Potential Supervisors (2007)
Neil Audsley, Jim Austin, Iain Bate, Ian Benest, Sam Braunstein, Alan Burns, ...
This document outlines some of the present research interests of most members of the Department who are in a position to supervise the research of students entering in October 2007. The sections are...
Computational Linguistics and Multi-Agent Systems. I am especially (2006)
interested in the following intersections of these areas, where I have also made my main research contributions. Machine Learning of Natural Language Combining the data-driven corpus-based approach...
System of Systems Hazard Analysis using Simulation and Machine Learning (2006)
Robert Alexander, Dimitar Kazakov, Tim Kelly
Abstract. In the operation of safety-critical systems, the sequences by which failures can lead to accidents can be many and complex. This is particularly true for the emerging class of systems known...
Using WordNet Similarity and Antonymy Relations to Aid Document Retrieval (2005)
Thomas De Simone, Dimitar Kazakov
This article proposes a document search technique that uses the language database WordNet to cluster search results into meaningful categories according to the words that modify the original search...
Comparing Constituents of Different Categories in DOP (2005)
Kiril Simov, Dimitar Kazakov, Petya Osenova, Kiril Simov, Dimitar Kazakov, Petya Osenova, ...
The Role of Environment Structure in Multi-Agent Simulations of Language Evolution (2004)
Mark Bartlett, Dimitar Kazakov
This paper presents a multi-agent system which has been developed in order to test our theories of language evolution. We propose that language evolution is an emergent behaviour, which is influenced...
Evolving the Game of Life (2004)
Dimitar Kazakov, Matthew Sweet
Cellular Automata are used in a number of areas: fluid dynamics, ecosystem modelling, etc. In this paper we attempt to provide a method of evolving rule sets that support “interesting ” life....
Evolutionary algorithms with extended fitness (2003)
Abstract. The notion of fitness has been assigned various meanings, of which only the oldest, expressing individual reproductive success, has been explicitly used in Evolutionary Algorithms (EAs) so...
Social Learning through Evolution of Language (2003)
Dimitar Kazakov, Mark Bartlett
This paper presents an approach to simulating the evolution of language in which communication is viewed as an emerging phenomenon with both genetic and social components. A model is presented in...
Evolutionary Algorithms with Extended Fitness (2003)
The notion of fitness has been assigned various meanings, of which only the oldest, expressing individual reproductive success, has been explicitly used in Evolutionary Algorithms (EAs) so far. This...
Stochastic Simulation of Inherited Kinship-Driven Altruism (2002)
Heather Turner, Dimitar Kazakov
Introduction The aim of this research is to assess the role of a hypothetical inherited feature (gene) promoting altruism between relatives as a factor for survival. The two main goals are, firstly,...
Stochastic Simulation of Inherited Kinship-Driven Altruism (2002)
Heather Turner, Dimitar Kazakov
The aim of this research is to assess the role of a hypothetical inherited feature (gene) promoting altruism between relatives as a factor for survival in the context of a multi-agent system...
Stochastic Simulation of Inherited Kinship-Driven Altruism (2002)
Heather Turner, Dimitar Kazakov
The aim of this research is to assess the role of a hypothetical inherited feature (gene) promoting altruism between relatives as a factor for survival in the context of a multi-agent system...
Stochastic simulation of inherited kinship-driven altruism (2002)
Heather Turner, Dimitar Kazakov
The aim of this research is to assess the rôle of a hypothetical inherited feature (gene) promoting altruism between relatives as a factor for survival in the context of a multi-agent system...
Machine learning and inductive logic programming for multi-agent systems (2001)
Dimitar Kazakov, Daniel Kudenko
When designing agent systems, it is often infeasible to foresee all the potential situations an agent may encounter and specify an agent behavior optimally in advance. In order to overcome these...
Machine learning and inductive logic programming for multi-agent systems (2001)
Dimitar Kazakov, Daniel Kudenko
In recent years, multi-agent systems (MAS) have received increasing attention in the artificial intelligence community. Research in multi-agent systems involves the investigation of autonomous,...
Dimitar Kazakov, Suresh Manandhar
. This article presents a combination of unsupervised and supervised learning techniques for the generation of word segmentation rules from a raw list of words. First, a language bias for word...
Achievements and prospects of learning word morphology with inductive logic programming (2000)
Abstract. This article presents an overview of existing ILP and nonILP approaches to word morphology learning, and sets targets for future research. The article claims that new challenges to the ILP...
Dimitar Kazakov, Suresh Manandhar
This article presents a combination of unsupervised and supervised learning techniques for the generation of word segmentation rules from a raw list of words. First, a language bias for word...
Natural Language Processing Applications of Machine Learning (1999)
this article consists of two parts. The first part contains the whole paradigms of 221 regular (first and second conjugation) verbs, i.e. for each of these verbs its all different synthetic forms are...
Combining LAPIS and WordNet for the Learning of LR Parsers with Optimal Semantic Constraints (1999)
There is a history of research focussed on learning of shiftreduce parsers from syntactically annotated corpora by the means of machine learning techniques based on logic. The presence of lexical...
A Hybrid Approach to Word Segmentation (1998)
Dimitar Kazakov, Suresh Manandhar
. This article presents a combination of unsupervised and supervised learning techniques for generation of word segmentation rules from a list of words. First, a bias for word segmentation is...
Unsupervised learning of naive morphology with genetic algorithms (1997)
The morphological lexicon is an important part of NLP systems which is typically hand-written with the help of linguist experts. Even a partial automation of this process could decrease the cost of...
Unsupervised Learning of Naive Morphology with Genetic Algorithms (1997)
The morphological lexicon is an important part of NLP systems which is typically hand-written with the help of linguist experts. Even a partial automation of this process could decrease the cost of...