Inheritance, defaults and the lexicon
Inheritance, defaults and the lexicon
A new family of multivalued networks
Neural Networks
The dynamics of recurrent behavior networks
Adaptive Behavior
Small worlds: the dynamics of networks between order and randomness
Small worlds: the dynamics of networks between order and randomness
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
Computation and Dynamical Models of Mind
Minds and Machines
Social theory and agent architectures: prospective issues in rapid-discovery social science
Social Science Computer Review
Computational Discrete Mathematics: Combinatorics and Graph Theory with Mathematica ®
Computational Discrete Mathematics: Combinatorics and Graph Theory with Mathematica ®
Content-based text querying with ontological descriptors
Data & Knowledge Engineering - NLDB2002
Exploratory Social Network Analysis with Pajek
Exploratory Social Network Analysis with Pajek
Recursive self-organizing network models
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Graph theoretic modeling of large-scale semantic networks
Journal of Biomedical Informatics
Ontologies are us: A unified model of social networks and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
Exploring complex dynamics in multi agent-based intelligent systems: theoretical and experimental approaches using the multi agent-based behavioral economic landscape (mabel) model
Editorial: Knowledge representation with ontologies: Present challenges-Future possibilities
International Journal of Human-Computer Studies
Ontology learning: state of the art and open issues
Information Technology and Management
Adaptive modeling and discovery in bioinformatics: The evolving connectionist approach
International Journal of Intelligent Systems - Advantages, Problems, and Trends in Contemporary Intelligent Systems
Cross-lingual thesaurus for multilingual knowledge management
Decision Support Systems
The Cambridge Handbook of Computational Psychology
The Cambridge Handbook of Computational Psychology
A complex network approach to text summarization
Information Sciences: an International Journal
Information Sciences: an International Journal
Exploiting noun phrases and semantic relationships for text document clustering
Information Sciences: an International Journal
Set-valued ordered information systems
Information Sciences: an International Journal
On model design for simulation of collective intelligence
Information Sciences: an International Journal
Debugging complex software systems by means of pathfinder networks
Information Sciences: an International Journal
Tree kernel-based semantic relation extraction with rich syntactic and semantic information
Information Sciences: an International Journal
A framework for reasoning with soft information
Information Sciences: an International Journal
A model of computation and representation in the brain
Information Sciences: an International Journal
A cognitive interactionist sentence parser with simple recurrent networks
Information Sciences: an International Journal
Ensemble of feature sets and classification algorithms for sentiment classification
Information Sciences: an International Journal
Concept-based learning of human behavior for customer relationship management
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Rational Research model for ranking semantic entities
Information Sciences: an International Journal
A hierarchical model of a linguistic variable
Information Sciences: an International Journal
Recall and Reasoning-an information theoretical model of cognitive processes
Information Sciences: an International Journal
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This study introduces semantic network analysis of natural language processing in collective social settings. It utilizes the spreading-activation theory of human long-term memories from social psychology to extract information and graph-theoretic linguistic approximations supporting rational propositional inference and formalisms. Using an empirical case study we demonstrate the process of extracting linguistic concepts from data and training a Hopfield artificial neural network for semantic network classification. We further develop an agent-based computational model of network evolution in order to study the processes and patterns of collective semantic knowledge representation, introducing incidents of collapses in central network structures. Large ensembles of simulation replication experiments are conducted and the resulted networks are analyzed using a variety of estimation techniques. We show how collective social structure emerges from simple interactions among semantic categories. Our findings provide evidence of the significance of collapse and reorganization effects in the structure of collective social knowledge; the statistical importance of the within-factor interactions in network evolution, and; stochastic exploration of whole parameter spaces in large ensembles of simulation runs can reveal important self-organizing aspects of the system's behavior. The last session discusses the results and revisits the issues of generative semantic inference and the semantic networks as inferential formalisms in guiding self-organizing systemic complexity.