On Learning

On Learning

Goran Trajkovski (Towson University, USA)
DOI: 10.4018/978-1-59140-839-0.ch005
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Abstract

In this chapter we explain how Interactivist-Expectative Theory of Agency and Learning (IETAL) agents learn their environment and how they build their intrinsic, internal representation of it, which they then use to build their expectations when on quest to satisfy their active drives.

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Table of Contents
Foreword
Georgi Stojanov
Acknowledgments
Goran Trajkovski
Chapter 1
On Our Four Foci  (pages 1-13)
Goran Trajkovski
In this chapter we give a brief overview of the history and the key developments of the concepts of agents and multi-agent systems that are relevant... Sample PDF
On Our Four Foci
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Chapter 2
On Agency  (pages 14-20)
Goran Trajkovski
In this chapter, we present the Interactionist-Expectative Theory on Agency and Learning (IETAL). Our intention is to provide remedies for the... Sample PDF
On Agency
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Chapter 3
On Drives  (pages 21-29)
Goran Trajkovski
In this chapter we briefly overview the connections between drives, motivations, and actions in an agent. Drives take a central place in our agents... Sample PDF
On Drives
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Chapter 4
Goran Trajkovski
In this chapter, we formalize the Interactivist-Expectative Theory of Agency and Learning (IETAL) agent in an algebraic framework and focus on... Sample PDF
On IETAL, Algebraically
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Chapter 5
On Learning  (pages 40-52)
Goran Trajkovski
In this chapter we explain how Interactivist-Expectative Theory of Agency and Learning (IETAL) agents learn their environment and how they build... Sample PDF
On Learning
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Chapter 6
Goran Trajkovski
Based on the material presented in Appendix A and B, in this chapter we give alternatives to the definition of agent using fuzzy algebraic... Sample PDF
On IETAL, Fuzzy Algebraically
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Chapter 7
On Agent Societies  (pages 62-70)
Goran Trajkovski
In this chapter we propose a model for a multi-agent society, based on expectancy and interaction. Based on results on imitations, we proposed a... Sample PDF
On Agent Societies
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Chapter 8
Goran Trajkovski
The existing theories of concept formation involve categorization based upon the physical features that differentiate the concept. Physical features... Sample PDF
On Concepts and Emergence of Language
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Chapter 9
Goran Trajkovski
“Emergence” is itself emergent; although originating in the context of the “sciences of complexity” — i.e., life sciences, cybernetics, multiagent... Sample PDF
On Emergent Phenomena: If I'm Not in Control, Then Who Is? The Politics of Emergence in Multi-Agent Systems
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Chapter 10
Goran Trajkovski
In this chapter we overview our simulation environment (Multi-Agent Systems Simulations [MASim]) that we developed, with the intention of studying... Sample PDF
On MASim: A Gallery of Behaviors in Small Societies
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Chapter 11
Goran Trajkovski
Pattern-Aided Simulated Interaction Context Learning Experiment (POPSICLE) Agent Simulator began as a sample project in object-oriented agent... Sample PDF
On a Software Platform for MASIVE Simulations
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Chapter 12
Goran Trajkovski
This chapter overviews a robotic platform developed at our Cognitive Agency and Robotics Laboratory (CARoL, n.d.) for the purpose of carrying out... Sample PDF
On a Robotic Platform for MASIVE-Like Experiments
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Chapter 13
Goran Trajkovski
This chapter presents an empirical investigation executed with the purpose of calibrating parameters of the Interactivist-Expectative Theory of... Sample PDF
On the POPSICLE Experiments
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Chapter 14
Goran Trajkovski
The focus of this chapter is the explanation of a method for allowing languages to emerge within a multi-agent system. The need for such a method... Sample PDF
On an Evolutionary Approach to Language
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Chapter 15
On Future Work  (pages 231-243)
Goran Trajkovski
This chapter concludes the book by stating open questions and directions for further research. Some of the topics that we focus on here are the... Sample PDF
On Future Work
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Chapter 16
Appendix A  (pages 244-275)
Goran Trajkovski
The first part of this appendix presents three approaches in defining the fuzzy version (generalization) of the mathematical graph structure: graphs... Sample PDF
Appendix A
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Chapter 17
Appendix B  (pages 276-303)
Goran Trajkovski
What motivates people? Why do they behave as they do? For that matter, why do people do anything at all? Questions like these have persisted over... Sample PDF
Appendix B
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About the Author
About the Contributors