Decision Process in Human-Agent Interaction: Extending Jason Reasoning Cycle

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Abstract

The main characteristic of an agent is acting on behalf of humans. Then, agents are employed as modeling paradigms for complex systems and their implementation. Today we are witnessing a growing increase in systems complexity, mainly when the presence of human beings and their interactions with the system introduces a dynamic variable not easily manageable during design phases. Design and implementation of this type of systems highlight the problem of making the system able to decide in autonomy. In this work we propose an implementation, based on Jason, of a cognitive architecture whose modules allow structuring the decision-making process by the internal states of the agents, thus combining aspects of self-modeling and theory of the mind
Lingua originaleEnglish
Titolo della pubblicazione ospite6th International Workshop on Engineering Multi-Agent Systems, EMAS 2018
Pagine320-339
Numero di pagine20
Stato di pubblicazionePublished - 2019

Serie di pubblicazioni

NomeLECTURE NOTES IN ARTIFICIAL INTELLIGENCE

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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