mlsanityData to 7 Oct 2026

Ensuring trustworthy and ethical behaviour in intelligent logical agents

arXiv 2402.07547 ↗First posted 12 Feb 2024cs.MA cs.AI cs.LOcited by 2

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Abstract (arXiv)

Autonomous Intelligent Agents are employed in many applications upon which the life and welfare of living beings and vital social functions may depend. Therefore, agents should be trustworthy. A priori certification techniques (i.e., techniques applied prior to system's deployment) can be useful, but are not sufficient for agents that evolve, and thus modify their epistemic and belief state, and for open Multi-Agent Systems, where heterogeneous agents can join or leave the system at any stage of its operation. In this paper, we propose/refine/extend dynamic (runtime) logic-based self-checking techniques, devised in order to be able to ensure agents' trustworthy and ethical behaviour.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 9 of its 119 references that are in the map. First posted on arXiv 12 Feb 2024.

Builds on

9 of 119 references.

References · 9

  1. 2018Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf restraining specificationscited by 69
  2. 2020Landscape of Machine Implemented Ethicscited by 13
  3. 2020Towards a Framework for Certification of Reliable Autonomous Systemscited by 12
  4. 2013Practical Verification of Decision-Making in Agent-Based Autonomous Systemscited by 11
  5. 2019Towards Ethical Machines Via Logic Programmingcited by 3
  6. 2020Logic Programming and Machine Ethicscited by 3
  7. 2018From Model Checking to Runtime Verification and Backcited by 2
  8. 2019A Temporal Module for Logical Frameworkscited by 1
  9. 2021Self-checking Logical Agentscited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.