Kazakov, Dimitar - Department of Computer Science, University of York (UK)

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Kazakov, Dimitar - Department of Computer Science, University of York (UK)

Parallelism vs Communication Overhead Trade-off in a JADE Multi-Agent Implementation of Cellular Automata
A MULTIAGENT SIMULATION OF THE EVOLUTION OF LANGUAGE
AISB Journal 1(2), c SSAISB, 2002
Learning word segmentation rules for tag Dimitar Kazakov 1 , Suresh Manandhar 2 , and Tomaz Erjavec 3
Could Navigation Be the Key to Language? Dimitar Kazakov
WordNet-based Text Document Clustering Julian Sedding
M o t i o n , E m o t i o n a n d C o g n i t i o n Co-sponsored by
The Role of Environment Structure in Multi-Agent Simulations of Language Evolution
Evolving the Game of Life Dimitar Kazakov
Evolutionary Algorithms with Extended Fitness Dimitar Kazakov
Evolving the Game of Life Dimitar Kazakov #
Inductive learning of lexical semantics with typed unification grammars
Evolutionary Algorithms with Extended Fitness Dimitar Kazakov
Unsupervised Construction of a Multilingual WordNet from Parallel Corpora
Achievements and Prospects of Learning Word Morphology with Inductive Logic Programming
Social Learning through Evolution of Language Dimitar Kazakov and Mark Bartlett
Could Navigation Be the Key to Language? Dimitar Kazakov # and Mark Bartlett
Cooperative Navigation and the Faculty of Language Dimitar Kazakov and Mark Bartlett
Could Navigation Be the Key to Language? Dimitar Kazakov #
A MULTIAGENT SIMULATION OF THE EVOLUTION OF LANGUAGE
AISB Journal 1(2), c SSAISB, 2002
Stochastic Simulation of Inherited Kinship-Driven Altruism Heather Turner; Dimitar Kazakov
Using WordNet Similarity and Antonymy Relations to Aid Document Retrieval
Using WordNet Similarity and Antonymy Relations to Aid Document Retrieval
Stochastic Simulation of Inherited KinshipDriven Altruism Heather Turner; Dimitar Kazakov
Grand Challenges for Computing Research: SELF-REFLECTIVE MACHINE LEARNING
Guaranteed Loop Bound Identification from Program Traces for WCET
A Hybrid Approach to Word Segmentation Dimitar Kazakov 1 and Suresh Manandhar 2
Machine Learning and Inductive Logic Programming for MultiAgent Systems
Natural Language Processing Applications of Machine Learning
EQUATION DISCOVERY FOR MACROECONOMIC MODELLING Dimitar Kazakov
OPEN BOOK EXAMINATIONS IN AI TEACHING: A CASE STUDY Dimitar Kazakov
Unsupervised Learning of Naive Morphology with Genetic Algorithms
Combining Lapis and WordNet for the Learning of LR Parsers with Optimal Semantic
Unsupervised Learning of Word Segmentation Rules with Genetic Algorithms and Inductive