
Transactions on Computational Collective Intelligence VI
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Content
- Title Page
- Preface
- Transactions on Computational Collective Intelligence
- Table of Contents
- On the Pattern Recognition and Classification of Stochastically Episodic Events
- Introduction
- Problem Formulation
- SE Event Recognition
- Characteristics of the Domain of Problems
- Overview of Our Solution
- Contributions of This Paper
- Paper Organization
- Pattern Recognition: State of the Art
- One-Class Extensions to Binary Classifiers
- Nearest Neighbour
- Combined Density and Class Probability Estimation
- Modelling the Problem
- Application Domain
- Procuring Data: Aspects of Simulation
- Generated Datasets
- PR Solutions
- Classification Scenarios
- Classification
- Classifier Assessment Criteria
- Results: Scenario 1
- General Performance
- Performance on Short- and Long-Range Detonations
- Performance as a Function of Distance
- Expanded Feature-Space
- Results: Scenario 2
- General Performance
- Performance on Short- and Long-Range Detonations
- Performance as a Function of Distance
- Expanded Feature-Space
- Discussion
- Results: S1
- Results: S2
- Conclusions
- References
- Paraconsistent Reasoning for Semantic Web Agents
- Introduction
- The Two-Valued Description Logic SROIQ
- Paraconsistent Semantics for SROIQ
- Discussion and Definitions
- Example
- Properties of Paraconsistent Semantics
- The Relationship between the Semantics
- Comparison with Existing Paraconsistent Semantics
- A Translation into the Traditional Semantics
- Conclusions
- References
- An Agent Model for Cognitive and Affective Empathic Understanding of Other Agents
- Introduction
- On Empathic Understanding
- Recursive Body Loops, Mirroring and Simulation Theory
- Recursive Body Loops
- The Mirroring Function of Preparation States
- The Simulation Theory Perspective on Mindreading
- A Basic Agent Model for Emotion Generation and Imputation
- Generating Emotional Responses and Feelings by a Recursive Body Loop
- Incorporating a Mirroring Function to Enable Simulation and Mindreading
- An Agent Model for Empathic Understanding
- An Agent Model for Emotional Responses and Feelings for the Lottery Case
- An Agent Model for Empathic Understanding for the Lottery Case
- Example Simulation Results for Empathic Understanding in the Lottery Case
- Mathematical Analysis
- Discussion
- References
- Multiagent Based Simulation as a Supply Chain Analysis Workbench
- Introduction
- Multiagent System as a Simulation Workbench
- Using Agents in Simulations
- Using Agent as a Modeling Metaphor and Complexity Management Tool
- Managing Business Models Complexity with Agents
- Supply Chain Simulation Structure and Implementation
- The Concept of Supply Chain Management
- The Simulation Structure
- Implementation of the Multi-agent Simulation
- The Scenario of Simulation Experiment
- Experimental Procedure
- Simulation Experiment
- Related Work
- Conclusions
- References
- On the Effective Distribution and Maintenance of Knowledge Represented by Complementary Graphs
- Introduction
- Replicated Complementary Graphs
- Single Node Incorporations vs. Relaxation
- Tests
- SNI and Relaxation Method. Comparison
- Stability of Relaxation Method
- Tests Conclusions
- Conclusion
- References
- Agent System for Managing Distributed Mobile Interactive Documents in Knowledge-Based Organizations
- Introduction
- Related Work
- Knowledge-Based Organization
- MIND Architecture
- Workflow Patterns Applicable to Knowledge-Based Organizations
- Basic Control-Flow Patterns
- Advanced Branching and Synchronization Patterns
- Multiple Instance Patterns
- State-Based Patterns
- Prototype System for Managing Distributed Documents
- The Life Cycle of a Distributed Document in the Agent System
- The Main Modules of the System
- Prototype Application's Performance
- Case Studies of the MIND Architecture
- Conclusions
- References
- Agent Cooperation within Adversarial Teams in Dynamic Environment - Key Issues and Development Trends
- Introduction
- Characteristics of MAS with Adversarial Teams
- Cooperation
- Agent Architecture
- Opponent Modeling and Anticipation
- High-Level Anticipation
- Low-Level Anticipation
- Planning
- Learning
- Reinforcement Learning
- Case Based Learning
- Communication
- Practical Applications
- Machine Learning Methods
- Conclusions
- References
- On Pricing Strategies of Boundedly Rational Telecommunication Operators
- Introduction
- A Model of Pre-paid Market
- Call Graph Module
- Client's Decision Rule for Choice of Operator
- Operators' Procedure for Setting Prices
- Simulation Results
- Conclusions
- References
- Reasoning about Time-Dependent Multi-agents: Foundations of Theorem Proving and Model Checking
- Introduction
- Linear-Time Temporal Logic versus Computation Tree Logic
- Agents-Indexed Linear-Time Temporal Logic: A Basis for Theorem Proving
- Agents-Indexed Computation Tree Logic: A Basis for Model Checking
- Small Motivating Examples
- Summary of This Paper
- Agents-Indexed Linear-Time Temporal Logic
- Sequent Calculus and Cut-Elimination
- Semantics and Completeness
- Agents-Indexed Computation Tree Logic
- Concluding Remarks
- References
- Learning Predictive Models for Financial Time Series by Using Agent Based Simulations
- Introduction
- The Simple Financial Agent Based Simulator
- The Complete Learning Simulator L-FABS: Adding a Learning Capability to S-FABS
- Exploiting Simulated Annealing in L-FABS
- Using Differential Evolution in L-FABS
- Research Methodology to Evaluate L-FABS
- Experimental Settings and Evaluation of L-FABS
- Experimental Comparison of L-FABS to Other Systems
- Conclusions
- References
- Author Index
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