
Transactions on Computational Collective Intelligence XXXII
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Content
- Intro
- Transactions on Computational Collective Intelligence Vol. XXXII
- Preface
- Transactions on Computational Collective Intelligence
- Contents
- Consensus Theory for Cognitive Agents' Unstructured Knowledge Conflicts Resolving in Management Information Systems
- Abstract
- 1 Introduction
- 2 Unstructured Knowledge Processing in Management Information Systems
- 2.1 The Nature and the Significance of Management Information Systems in Organizations
- 2.2 Cognitive Agents and Their Utilization in Functional Architecture of Management Information Systems
- 2.3 Characteristics of Unstructured Knowledge in MIS
- 2.4 Coherence Between Structured and Unstructured Knowledge in the Functioning of Management Information Systems
- 2.5 Modeling and Representation of Unstructured Knowledge in Management Information Systems
- 2.6 Acquisition, Processing and Validation of Unstructured Knowledge in Management Information Systems
- 2.7 Reasons for the Emergence of Knowledge Conflicts in MIS and Their Potential Effects
- 3 Cognitive Agents in Knowledge Processing
- 3.1 Architectures and Functional Solutions of Cognitive Agents
- 3.2 Semantic Method for Representing Knowledge of Cognitive Agents
- 3.3 The Processing of Unstructured Knowledge by Cognitive Agents
- 3.4 Conflicts of Cognitive Agents' Knowledge
- 3.5 Current Methods of Resolving the Analyzed Conflicts
- 3.6 Premises for the Development of a New Method for Resolving Conflicts of Unstructured Knowledge of Cognitive Agents in the Investigated Systems
- 4 Consensus Theory in Resolving Conflicts of Unstructured Knowledge
- 4.1 The Essence of Consensus Theory
- 4.2 The Process of Determining Consensus
- 4.3 Analysis of the Existing Applications of the Consensus Theory in Resolving Conflicts of Unstructured Knowledge
- 4.4 Determinants of Using the Consensus Theory in Resolving the Analyzed Conflicts in Management Information Systems
- 5 The Use of Consensus Theory for Knowledge Conflicts' Resolving in the Considered Systems
- 5.1 Construction of a Method for Cognitive Agents' Unstructured Knowledge Conflicts Resolving
- 5.2 Empirical Verification of the Developed Method
- 5.3 Conditions of Implementation of Developed Method
- 6 Conclusions
- References
- The Ins and Outs of Network-Oriented Modeling: From Biological Networks and Mental Networks to Social Networks and Beyond
- Abstract
- 1 Introduction
- 2 Network-Oriented Modeling: Conceptual Background
- 2.1 The Unifying Potential of Networks
- 2.2 On the Meaning of the Basic Elements in a Network
- 2.3 Meaning as Defined by the Notion of Temporal-Causal Network
- 2.4 Biological, Mental and Social Domains Ask for Networks
- 3 Numerical Representation of a Temporal-Causal Network
- 3.1 Mathematical Formalisation of a Temporal-Causal Network
- 3.2 Options for Combination Functions
- 4 Relating Emerging Network Behavior to Network Structure
- 4.1 Examples of Emerging Network Behaviour
- 4.2 Network Structure Properties Relevant for Emerging Network Behaviour
- 4.3 Relating Network Structure Properies to Emerging Network Behaviour
- 5 The Wide Applicability of Network-Oriented Modeling
- 5.1 Network-Oriented Modeling Applies Beyond Perceived Networks
- 5.2 Network-Oriented Modeling Applies to Adaptive Networks
- 6 Discussion
- References
- Local Termination Criteria for Swarm Intelligence: A Comparison Between Local Stochastic Diffusion Search and Ant Nest-Site Selection
- 1 Introduction
- 2 Swarm Intelligence
- 2.1 Communication in Social Insects
- 2.2 Methods of Communication
- 3 Collective Decision-Making in House Hunting Ants
- 4 Quorum Sensing in House Hunting Ants
- 5 Stochastic Diffusion Search
- 5.1 The Restaurant Game Analogy
- 6 An Approximate Characterisation of the Stochastic Diffusion Search
- 6.1 Homogeneous Background Noise
- 6.2 Expected Cluster Size Formulation of SDS
- 6.3 Convergence Level of SDS
- 6.4 Multiple Testing
- 7 Halting Criteria
- 7.1 Global Halting Criteria
- 7.2 Local Halting Criterion
- 7.3 `Independent' Termination Behaviour
- 7.4 `Confirmation' Termination Behaviour
- 8 Experiments
- 8.1 Experiment 1
- 8.2 Experiment 2
- 9 Comparison of Ant Quorum-Sensing and SDS Local Halting Criteria
- 10 Conclusion
- References
- Towards Large-Scale Optimization of Iterated Prisoner Dilemma Strategies
- 1 Introduction
- 2 IPD Simulation: Reasons and Means
- 3 An Asynchronous Actor Model for IPD Simulations
- 4 Scalability and Performance
- 5 Optimization Results
- 6 Conclusions
- References
- GuruWS: A Hybrid Platform for Detecting Malicious Web Shells and Web Application Vulnerabilities
- 1 Introduction
- 2 Background and Related Work
- 2.1 Detection of Web Application Security Risks
- 2.2 Symbolic Execution and Taint Analysis
- 2.3 Related Work
- 3 Hybrid Platform of GuruWS
- 3.1 Motivation
- 3.2 Platform Design
- 3.3 grMalwrScanner: Malicious Web Application File Detection
- 3.4 grVulnScanner: Web Application Vulnerabilities Detection
- 4 Experiment and Evaluation
- 4.1 Environment Setup and Results
- 4.2 Evaluation of grMalwrScanner
- 4.3 Evaluation of grVulnScanner
- 5 Conclusion and Future Work
- References
- Author Index
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