• Adding preferences and moral v...

Treffer: Adding preferences and moral values in an agent-based simulation framework for high-performance computing

Title:
Adding preferences and moral values in an agent-based simulation framework for high-performance computing
Authors:
Marin Gutierrez, David, Vázquez Salceda, Javier, Álvarez Napagao, Sergio, Gnatyshak, Dmitry
Contributors:
Universitat Politècnica de Catalunya. Departament de Ciències de la Computació, Universitat Politècnica de Catalunya. Doctorat en Intel·ligència Artificial, Barcelona Supercomputing Center, Universitat Politècnica de Catalunya. IDEAI-UPC - Intelligent Data sciEnce and Artificial Intelligence Research Group
Publication Year:
2023
Collection:
Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
Subject Terms:
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Agents intel·ligents, Intelligent agents (Computer software), High performance computing, Reasoning, Agent-based simulation, Goals, Preferences, Values, Agents intel·ligents (Programari), Càlcul intensiu (Informàtica), Raonament
Document Type:
Konferenz conference object
File Description:
application/pdf
Language:
English
Relation:
https://coin-workshop.github.io/coine-2023-london/Papers/Paper-4.pdf; info:eu-repo/grantAgreement/EC/H2020/101017142/EU/Stairway to AI: Ease the Engagement of Low-Tech users to the AI-on-Demand platform through AI/StairwAI; http://hdl.handle.net/2117/390759
Availability:
http://hdl.handle.net/2117/390759
Rights:
Open Access
Accession Number:
edsbas.D822C95B
Database:
BASE

Weitere Informationen

Agent-Based Simulation is a suitable approach used now-a-days to simulate and analyze complex societal environments and scenarios. Current Agent-Based Simulation frameworks either scale quite well in computation but implement very simple reasoning mechanisms, or employ complex reasoning systems at the expense of scalability. In this paper we present our work to extend an agent-based HPC platform, enabling goal-driven agents with HTN planning capabilities to scale and run parallelly. Our extension includes preferences over their objectives, preferences over their plans, actions, and moral values. We show the expresiveness of the extended platform with a sample scenario. ; This work has been partially supported by EU Horizon 2020 Project StairwAI (grant agreement No.101017142). ; Peer Reviewed ; Postprint (published version)