There are many different ways of generating representations. This includes representations generated by living beings while comprehending reality in order to act; representations generated by the Universe during its extensive unfolding, creating physical elements and living beings; and the direct representation of elements through an animals sixth sense. To this list we must now add the creation of artificial consciousness, which generates representations that resemble the mental representations of humans. These representations allow robotic systems to communicate directly with each other.
Fundamental Generation Systems?develops a theory which presents, from the beginning, the function of this sixth sense called the sense of informational comprehension. This sense is understood as an ability to use the informational foundations of the Universe via a dedicated cerebral domain found in every animal.
Preface xi
Introduction xv
Chapter 1 Systems and their Designs 1
1.1 System modeling 1
1.1.1 Traditional systems 2
1.1.2 Complex systems 2
1.1.3 Systems of systems 3
1.2 Autonomous systems 4
1.3 Multi-agent systems 6
1.4 Organizations and systems 7
1.5 The problem of modeling an autonomous system 8
1.6 Agents and multi-agent systems 9
1.6.1 The weak notion of an agent 10
1.6.2 The strong notion of an agent 11
1.6.3 Cognitive agents and reactive agents 11
1.6.4 Multi-agent systems 13
1.6.5 MAS with reactive agents 14
1.6.6 MAS with cognitive agents 14
Chapter 2 Reliability of Autonomous Systems 17
2.1 Introduction 17
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