O'Reilly logo

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

New Autonomous Systems

Book Description

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 autonomous systems based on a complex substratum, made up of multiple electronic components that deploy a variety of specific features.

This substratum consists of multi-agent systems which act continuously and autonomously to collect information from the environment which they then feed into the global system, allowing it to generate discerning and concrete representations of its surroundings.

These systems are able to construct a so-called artificial corporeity which allows them to have a sense of self, to then behave autonomously, in a way reminiscent of living organisms.

Table of Contents

  1. Cover
  2. Title
  3. Copyright
  4. Introduction
  5. List of Algorithms
  6. 1 Systems and their Design
    1. 1.1. Modeling systems
    2. 1.2. Autonomous systems
    3. 1.3. Agents and multi-agent systems
    4. 1.4. Systems and organisms
    5. 1.5. The issue of modeling an autonomous system
  7. 2 The Global Architecture of an Autonomous System
    1. 2.1. Introduction
    2. 2.2. Reactivity of a system
    3. 2.3. The basic structure of an autonomous system: the substratum
    4. 2.4. The membrane of autonomous systems
    5. 2.5. Two types of proactivity and the notion of artificial organ
    6. 2.6. Autonomy and current representation
    7. 2.7. The unifying system that generates representations
  8. 3 Designing a Multi-agent Autonomous System
    1. 3.1. Introduction
    2. 3.2. The object layer on the substratum
    3. 3.3. The agent representation of the substratum: interface agents, organs and the notion of sensitivity
    4. 3.4. The interpretation system and the conception agents
    5. 3.5. Aggregates of conception agents
    6. 3.6. The intent and the activity of conception agents
    7. 3.7. Agentifying conception agents
    8. 3.8. Activity of a conception agent
    9. 3.9. The three layers of conceptual agentification and the role of control
    10. 3.10. Semantic lattices and the emergence of representations in the interpretation system
    11. 3.11. The general architecture of the interpretation system
    12. 3.12. Agentification of knowledge and organizational memory
    13. 3.13. Setting up the membrane network of an autonomous system
    14. 3.14. Behavioral learning of the autonomous system
  9. 4 Generation of Current Representation and Tendencies
    1. 4.1. Introduction
    2. 4.2. Generation of current representation and semantic lattices
    3. 4.3. The cause leading the system to choose a concrete intent
    4. 4.4. Presentation of artificial tendencies
    5. 4.5. Algorithm for the generation of a stream of representations under tendencies
  10. 5 The Notions of Point of View, Intent and Organizational Memory
    1. 5.1. Introduction
    2. 5.2. The notion of point of view in the generation of representations
    3. 5.3. Three organizational principles of the interpretation system for leading the intent
    4. 5.4. Algorithms for intent decisions
    5. 5.6. Organizational memory and the representation of artificial life experiences
    6. 5.7. Effective autonomy and the role of the modulation component
    7. 5.8. Degree of organizational freedom
  11. 6 Towards the Minimal Self of an Autonomous System
    1. 6.1. Introduction
    2. 6.2. The need for tendencies when leading the system
    3. 6.3. Needs and desires of the autonomous system
    4. 6.4. A scaled-down autonomous system: the artificial proto-self
    5. 6.5. The internal choice of expressed tendencies and the minimal self
    6. 6.6. The incentive to produce representations
    7. 6.7. Minimal self affectivity: emotions and sensations
    8. 6.8. Algorithms for tendency activation
    9. 6.9. The feeling of generating representations
  12. 7 Global Autonomy of Distributed Autonomous Systems
    1. 7.1. Introduction
    2. 7.2. Enhancement of an autonomous system by itself
    3. 7.3. Communication among autonomous systems in view of their union
    4. 7.4. The autonomous meta-system composed of autonomous systems
    5. 7.5. The system generating autonomous systems: the meta-level of artificial living
  13. Conclusion
  14. Bibliography
  15. Index
  16. End User License Agreement