The Goal after Tomorrow: Offline Goal Reasoning with Norms

Recent studies have focused on autonomous agents that select their own goals and then select actions to achieve these goals, using online Goal Reasoning (GR). GR agents can revise goals and plans at execution time if unexpected outcomes occur. However, for ethical or legal agent design, even the partial execution of an online plan may result in foreseeable norm violations. To prevent these violations, it is crucial to incorporate GR already at the planning phase. To this end, we design an offline GR system that can harbour normative systems or deontic logics for goal generation. Our main results include a characterization and comparison of the completeness classes for a variety of offline GR planners, and a discussion of the irreducibility of offline GR to pure planning methods.

Authors

Institutions

Publication Details

Journal
Journal of Artificial Intelligence Research
Published
2024-08-31
DOI
https://doi.org/10.1613/jair.1.15566
Primary Topic
Complex Systems and Decision Making
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Goal after Tomorrow: Offline Goal Reasoning with Norms

Pere Pardo, Christian Straßer
Journal of Artificial Intelligence Research
Complex Systems and Decision Making
article

The Goal after Tomorrow: Offline Goal Reasoning with Norms

Pere Pardo, Christian Straßer
article en

Abstract

Recent studies have focused on autonomous agents that select their own goals and then select actions to achieve these goals, using online Goal Reasoning (GR). GR agents can revise goals and plans at execution time if unexpected outcomes occur. However, for ethical or legal agent design, even the partial execution of an online plan may result in foreseeable norm violations. To prevent these violations, it is crucial to incorporate GR already at the planning phase. To this end, we design an offline GR system that can harbour normative systems or deontic logics for goal generation. Our main results include a characterization and comparison of the completeness classes for a variety of offline GR planners, and a discussion of the irreducibility of offline GR to pure planning methods.

Journal of Artificial Intelligence ResearchVol. 80
University of Luxembourg (LU), Czech Academy of Sciences, Institute of Philosophy (CZ), Ruhr University Bochum (DE)
Openalex Percentile: Top 83%
Complex Systems and Decision Making
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Goal after Tomorrow: Offline Goal Reasoning with Norms — Pere Pardo, Christian Straßer · Journal of Artificial Intelligence Research (2024) | TGRS Research Map | TGRS