New autonomous systems
The idea of autonomous systems that are able to make choices according to properties which allow them to experience, apprehend and assess their environment is becoming a reality. These systems are capable of auto-configuration and self-organization. This book presents a model for the creation of aut...
Otros Autores: | , |
---|---|
Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Hoboken, New Jersey :
ISTE Ltd/John Wiley and Sons Inc
2016.
|
Edición: | 1st edition |
Colección: | Mechanical engineering and solid mechanics series.
|
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631569906719 |
Tabla de Contenidos:
- Intro
- Table of Contents
- Title
- Copyright
- Introduction
- List of Algorithms
- 1 Systems and their Design
- 1.1. Modeling systems
- 1.2. Autonomous systems
- 1.3. Agents and multi-agent systems
- 1.4. Systems and organisms
- 1.5. The issue of modeling an autonomous system
- 2 The Global Architecture of an Autonomous System
- 2.1. Introduction
- 2.2. Reactivity of a system
- 2.3. The basic structure of an autonomous system: the substratum
- 2.4. The membrane of autonomous systems
- 2.5. Two types of proactivity and the notion of artificial organ
- 2.6. Autonomy and current representation
- 2.7. The unifying system that generates representations
- 3 Designing a Multi-agent Autonomous System
- 3.1. Introduction
- 3.2. The object layer on the substratum
- 3.3. The agent representation of the substratum: interface agents, organs and the notion of sensitivity
- 3.4. The interpretation system and the conception agents
- 3.5. Aggregates of conception agents
- 3.6. The intent and the activity of conception agents
- 3.7. Agentifying conception agents
- 3.8. Activity of a conception agent
- 3.9. The three layers of conceptual agentification and the role of control
- 3.10. Semantic lattices and the emergence of representations in the interpretation system
- 3.11. The general architecture of the interpretation system
- 3.12. Agentification of knowledge and organizational memory
- 3.13. Setting up the membrane network of an autonomous system
- 3.14. Behavioral learning of the autonomous system
- 4 Generation of Current Representation and Tendencies
- 4.1. Introduction
- 4.2. Generation of current representation and semantic lattices
- 4.3. The cause leading the system to choose a concrete intent
- 4.4. Presentation of artificial tendencies.
- 4.5. Algorithm for the generation of a stream of representations under tendencies
- 5 The Notions of Point of View, Intent and Organizational Memory
- 5.1. Introduction
- 5.2. The notion of point of view in the generation of representations
- 5.3. Three organizational principles of the interpretation system for leading the intent
- 5.4. Algorithms for intent decisions
- 5.6. Organizational memory and the representation of artificial life experiences
- 5.7. Effective autonomy and the role of the modulation component
- 5.8. Degree of organizational freedom
- 6 Towards the Minimal Self of an Autonomous System
- 6.1. Introduction
- 6.2. The need for tendencies when leading the system
- 6.3. Needs and desires of the autonomous system
- 6.4. A scaled-down autonomous system: the artificial proto-self
- 6.5. The internal choice of expressed tendencies and the minimal self
- 6.6. The incentive to produce representations
- 6.7. Minimal self affectivity: emotions and sensations
- 6.8. Algorithms for tendency activation
- 6.9. The feeling of generating representations
- 7 Global Autonomy of Distributed Autonomous Systems
- 7.1. Introduction
- 7.2. Enhancement of an autonomous system by itself
- 7.3. Communication among autonomous systems in view of their union
- 7.4. The autonomous meta-system composed of autonomous systems
- 7.5. The system generating autonomous systems: the meta-level of artificial living
- Conclusion
- Bibliography
- Index
- End User License Agreement.