Transactions on Computational Collective Intelligence VI
Published on 1. June 2012
XII, 224 pages
978-3-642-29356-6 (ISBN)
Description
The LNCS journal Transactions on Computational Collective Intelligence (TCCI) focuses on all facets of computational collective intelligence (CCI) and their applications in a wide range of fields such as the Semantic Web, social networks and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This, the sixth issue of Transactions on Computational Collective Intelligence contains 10 selected papers, focusing on the topics of classification, agent cooperation, paraconsistent reasoning and agent distributed mobile interaction.
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Ngoc-Thanh Nguyen
Transactions on Computational Collective Intelligence VI
Book
04/2012
Springer
€53.49
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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
