Goal reasoning has been attracting much attention in AI recently. Here, we consider how an agent changes its goals as a result of interaction with humans and peers. In particular, we draw upon a model developed in Behavioral Science, the Elementary Pragmatic Model (EPM). We show how the EPM principles can be incorporated into a sophisticated theory of goal change based on the Situation Calculus. The resulting logical theory supports agents with a wide variety of relational styles, including some that we may consider irrational or creative. This lays the foundations for building autonomous agents that interact with humans in a rich and realistic way, as required by advanced Human-AI collaboration applications.

Goal Formation through Interaction in the Situation Calculus: A Formal Account Grounded in Behavioral Science / DE GIACOMO, Giuseppe; Lesperance, Yves. - (2020), pp. 294-302. (Intervento presentato al convegno International Joint Conference on Autonomous Agents and Multiagent Systems (previously the International Conference on Multiagent Systems, ICMAS, changed in 2000) tenutosi a Auckland, New Zealand) [10.5555/3398761.3398800].

Goal Formation through Interaction in the Situation Calculus: A Formal Account Grounded in Behavioral Science

Giuseppe De Giacomo
Primo
Membro del Collaboration Group
;
2020

Abstract

Goal reasoning has been attracting much attention in AI recently. Here, we consider how an agent changes its goals as a result of interaction with humans and peers. In particular, we draw upon a model developed in Behavioral Science, the Elementary Pragmatic Model (EPM). We show how the EPM principles can be incorporated into a sophisticated theory of goal change based on the Situation Calculus. The resulting logical theory supports agents with a wide variety of relational styles, including some that we may consider irrational or creative. This lays the foundations for building autonomous agents that interact with humans in a rich and realistic way, as required by advanced Human-AI collaboration applications.
2020
International Joint Conference on Autonomous Agents and Multiagent Systems (previously the International Conference on Multiagent Systems, ICMAS, changed in 2000)
Artificial Intelligence; Knowledge Representation; Reasoning about Actions
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Goal Formation through Interaction in the Situation Calculus: A Formal Account Grounded in Behavioral Science / DE GIACOMO, Giuseppe; Lesperance, Yves. - (2020), pp. 294-302. (Intervento presentato al convegno International Joint Conference on Autonomous Agents and Multiagent Systems (previously the International Conference on Multiagent Systems, ICMAS, changed in 2000) tenutosi a Auckland, New Zealand) [10.5555/3398761.3398800].
File allegati a questo prodotto
File Dimensione Formato  
DeGiacomo_postprint_Goa_2020.pdf

accesso aperto

Note: https://dl.acm.org/doi/abs/10.5555/3398761.3398800
Tipologia: Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 514.39 kB
Formato Adobe PDF
514.39 kB Adobe PDF
DeGiacomo_Goa_2020.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.24 MB
Formato Adobe PDF
1.24 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1506300
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact