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      04/02/2021
    Major Cooperative Transitions and Management Theory in the Game of Life
Biological and cultural evolution show a trend towards increasing hierar...
          
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      10/16/2020
    Measuring Behavioural Similarity of Cellular Automata
Conway's Game of Life is the best-known cellular automaton. It is a clas...
          
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      09/23/2020
    Evolution, Symbiosis, and Autopoiesis in the Game of Life
Recently we introduced a model of symbiosis, Model-S, based on the evolu...
          
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      04/06/2020
    Conditions for Open-Ended Evolution in Immigration Games
The Immigration Game (invented by Don Woods in 1971) extends the solitai...
          
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      08/19/2019
    Modeling Major Transitions in Evolution with the Game of Life
Maynard Smith and Szathmáry's book, The Major Transitions in Evolution, ...
          
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      08/19/2019
    The Natural Selection of Words: Finding the Features of Fitness
We introduce a dataset for studying the evolution of words, constructed ...
          
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      06/20/2018
    Conditions for Major Transitions in Biological and Cultural Evolution
Evolution by natural selection can be seen an algorithm for generating c...
          
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      04/11/2017
    Leveraging Term Banks for Answering Complex Questions: A Case for Sparse Vectors
While open-domain question answering (QA) systems have proven effective ...
          
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      05/30/2014
    Semantic Composition and Decomposition: From Recognition to Generation
Semantic composition is the task of understanding the meaning of text by...
          
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      01/31/2014
    Experiments with Three Approaches to Recognizing Lexical Entailment
Inference in natural language often involves recognizing lexical entailm...
          
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      09/16/2013
    Domain and Function: A Dual-Space Model of Semantic Relations and Compositions
Given appropriate representations of the semantic relations between carp...
          
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      07/22/2011
    Analogy perception applied to seven tests of word comprehension
It has been argued that analogy is the core of cognition. In AI research...
          
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      12/12/2002
    Increasing Evolvability Considered as a Large-Scale Trend in Evolution
Evolvability is the capacity to evolve. This paper introduces a simple c...
          
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      12/12/2002
    Exploiting Context When Learning to Classify
This paper addresses the problem of classifying observations when featur...
          
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      12/12/2002
    Robust Classification with Context-Sensitive Features
This paper addresses the problem of classifying observations when featur...
          
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      12/12/2002
    Data Engineering for the Analysis of Semiconductor Manufacturing Data
We have analyzed manufacturing data from several different semiconductor...
          
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      12/12/2002
    Low Size-Complexity Inductive Logic Programming: The East-West Challenge Considered as a Problem in Cost-Sensitive Classification
The Inductive Logic Programming community has considered proof-complexit...
          
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      12/12/2002
    The Identification of Context-Sensitive Features: A Formal Definition of Context for Concept Learning
A large body of research in machine learning is concerned with supervise...
          
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      12/12/2002
    The Management of Context-Sensitive Features: A Review of Strategies
In this paper, we review five heuristic strategies for handling context-...
          
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      12/11/2002
    Myths and Legends of the Baldwin Effect
This position paper argues that the Baldwin effect is widely misundersto...
          
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      12/11/2002
    Types of Cost in Inductive Concept Learning
Inductive concept learning is the task of learning to assign cases to a ...
          
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      12/11/2002
    Contextual Normalization Applied to Aircraft Gas Turbine Engine Diagnosis
Diagnosing faults in aircraft gas turbine engines is a complex problem. ...
          
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      12/11/2002
    Theoretical Analyses of Cross-Validation Error and Voting in Instance-Based Learning
This paper begins with a general theory of error in cross-validation tes...
          
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      12/11/2002
    A Theory of Cross-Validation Error
This paper presents a theory of error in cross-validation testing of alg...
          
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      12/11/2002
    Technical Note: Bias and the Quantification of Stability
Research on bias in machine learning algorithms has generally been conce...
          
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      12/10/2002
    How to Shift Bias: Lessons from the Baldwin Effect
An inductive learning algorithm takes a set of data as input and generat...
          
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      12/10/2002