Welcome to the 9th Goal Reasoning Workshop at ACS 2021

Intelligent systems must manage their own goals across various domains such as fully observable, partially observable, dynamic, and multi-agent. To achieve robust behavior across such varied environments, the agents must reason about their own goals, relevant environmental factors, and other agents. Some approaches used in AI to achieve such behavior include Automated planning, action execution, goal achievement, goal management, goal operations, anomaly detection, explanation and reasoning about anomalies, expectations, and goal delegation. Researchers can observe the implementation of the above approaches across different disciplines in AI. This workshop aims to bring together researchers from distinct subfields to encourage cross-disciplinary discussion on goal reasoning.

Technical Topics relevant to this workshop include, but are not limited to, the following areas:

  • Theoretical models of goal reasoning
  • The role of goals in self-motivated systems
  • The role of implicit goals or goal rewards in intelligent system design
  • Goal reasoning in hybrid systems
  • Interactive goal reasoning
  • Goal management
  • Conversational or narrative reasoning about goals
  • Goal-driven autonomy
  • Explanation and diagnosis of notable objects and events that impact goals
  • Planning, scheduling, and (meta-)reasoning for goals
  • Resolving goals online (e.g., plan repair, replanning, goal deferment, re-goaling)
  • Multi-agent or distributed goal management
  • Learning for goal reasoning
  • Comparisons of goal reasoning with other models of autonomy
  • Evaluation/analyses of goal reasoning
  • Demonstrations or applications of goal reasoning systems

We welcome existing publications from other venues that are appropriate for discussion at this workshop.


Name Affiliation Email Website
Sravya Kondrakunta Wright State University, USA kondrakunta.2@wright.edu URL
Zohreh Dannenhauer Knexus Research Corporation, USA zohreh.dannenhauer@knexusresearch.com URL
Venkatsampath Raja Gogineni Wright State University, USA gogineni.14@wright.edu URL

Program Committee

Name Affiliation
David W. Aha Naval Research Laboratory, USA
Dongkyu Choi A*STAR, Singapore
Dustin Dannenhauer Parallax Advanced Research, USA
Eva Onaindia Universitat Politècnica de València, Spain
Hayley Borck SIFT, USA
Irina Rabkina Occidental College, USA
Kenneth Forbus Northwestern University, USA
Leilani Gilpin Sony AI, USA
Mark 'Mak' Roberts Naval Research Laboratory, USA
Martin Oxenham Defence Science and Technology Organisation, Australia
Matthew Molineaux Parallax Advanced Research, USA
Michael Floyd Knexus Research Corporation, USA
Michael T. Cox Wright State University, USA
Nikhil Krishnaswamy Colorado State University, USA
Othalia Larue Parallax Advanced Research, USA
Sunandita Patra University of Maryland, USA

Important Dates

Paper Submission - 30 September 2021 11 October 2021

Author Notification - 27 October 2021 31 October 2021

Camera Ready - 7 November 2021

Workshop held - 15 November 2021


Submissions may be up to 16 pages plus references. All papers should conform to the following formatting guidelines and style presented here. The submissions should contain the author names (reviewing will *not* be anonymous). The papers must be submitted in a PDF format via EasyChair system (Link: https://easychair.org/conferences/?conf=grwacs2021) Submissions will be reviewed by at least two referees.

We welcome existing publications from other venues that are appropriate for discussion at this workshop. Please note in the title area if this work is already accepted at another venue. If the work is under review at another venue please notify the organizers so we can avoid potential reviewing conflicts.

Related Previous Workshops

2020 8th Workshop on Integrated Execution and Goal Reasoning at ICAPS-2020 with 14 submissions

2019 7th Workshop on Goal Reasoning at ACS-2019 with 6 submissions

2018 6th Workshop on Goal Reasoning at FAIM-IJCAI 2018 with 12 submissions

2017 5th Workshop on Goal Reasoning at IJCAI 2017 with 8 submissions

2016 4th Workshop on Goal Reasoning at IJCAI 2016 with 15 submissions

2015 Workshop on Goal Reasoning at Advances in Cognitive Systems with 14 submissions

2013 Workshop on Goal Reasoning at Advances in Cognitive Systems with 11 submissions

2010 Workshop on Goal Directed Autonomy at AAAI 2010 with 11 submissions


Start-End (EST) Title Link to Paper Link to Slides Link to Video Presentation
9:30-9:40 Introduction: Sravya Kondrakunta
Session 1:
9:40-10:30 Invited Talk: Dungeon Crawl Stone Soup as a Goal Reasoning Challenge Problem
Dustin Dannenhauer
10:30-10:50 A Goal Reasoning Model for Autonomous Underwater Vehicles
Mark Wilson and David Aha
10:50-11:10 Multi-agent Goal Delegation
Venkatsampath Raja Gogineni, Sravya Kondrakunta and Michael Cox
11:10-11:30 Coffee Break
11:30-11:50 Design of a Self-Control Mechanism for an GDA-Based Tutor Module of an Intelligent Tutoring System
Adan Gomez
11:50- 12:10 Agent Goal Management using Goal Operations
Sravya Kondrakunta, Venkatsampath Raja Gogineni and Michael Cox
12:10- 12:30 Plan-design Goal Recognition with Autoencoding Transformer for the Cerbrec Modeling Platform
David Winer and Garrett Wang
12:30-1:30 Lunch
Session 2:
1:30-1:50 Design of a Cognitive Control Mechanism for a Goal-based Executive Function of a Cognitive System
Laura Marquez, Heider Zapa and Adan Gomez
1:50-2:10 EDA, An Empathy-Driven Computational Architecture
Xinmiao Yu, Riccardo Morri and Fernanda M. Eliott
2:10-2:30 Toward Human-Level Goal Reasoning with a Natural Language of Thought
Philip Jackson
2:30-3:00 Coffee Break
Session 3:
3:00-3:50 Invited Talk: Rational Agency and Radical Autonomy in Open Worlds
Pat Langley
3:50-4:10 Human-Centric Goal Reasoning with Ripple-Down Rules
Kenji Brameld, Germán Castro, Claude Sammut, Mark Roberts and David Aha
4:10-4:15 Closing

Invited Talks

Dr. Dustin Dannenhauer (Parallax Advanced Research)

Biography: Dr. Dustin Dannenhauer is a Research Scientist in the AI and Autonomy group at Parallax Advanced Research. Prior to joining Parallax he completed a post-doc at the Naval Research Laboratory under David Aha investigating goal-directed action model learning. His research interests span planning and execution, metacognition, and learning structured models. His prior work includes how semantically inferred concepts can be used as expectations in large, complex domains like real-time strategy games; how expectations can be generated and used to monitor plans produced from a hierarchical task network planner; and how expectations at the metacognitive level can be used to identify failures in cognition. He has been a core developer of the Metacognitive Integrated Dual-Cycle Architecture (MIDCA) and he has published in top venues for AI research including IJCAI, AAAI, ICCBR and Advances in Cognitive Systems.

Title: Dungeon Crawl Stone Soup as a Goal Reasoning Challenge Problem

Dr. Pat Langely (Institute for the Study of Learning and Expertise)

Biography: Dr. Pat Langley serves as Director of the Institute for the Study of Learning and Expertise, as a Research Scientist at Stanford University's Center for Design Research, as an Adjunct Research Staff Member in the Information Technology and Systems Division at the Institute for Defense Analyses. He has contributed to AI and cognitive science for more than 40 years, having published over 300 papers and five books on these topics. Dr. Langley developed some of the first computational approaches to scientific knowledge discovery and he was an early champion of experimental studies of machine learning and its application to real-world problems. He is the founding editor of two journals, Machine Learning in 1986 and Advances in Cognitive Systems in 2012, and he is a Fellow of both AAAI and the Cognitive Science Society. Dr. Langley's current research focuses on architectures for embodied agents, induction of explanatory process models, and learning complex procedures from written instructions.

Title: Rational Agency and Radical Autonomy in Open Worlds

Abstract: In this talk, I consider what it means to exhibit rational agency in open worlds. I define the notion of a rational agent, which is linked closely to goal reasoning. I also clarify both the idea of open worlds and constraints required to learn in them. In addition, I review research on cognitive architectures, which specify the fixed aspects of an intelligent system. I suggest that, to support open-world learning, we must extend such architectural theories to incorporate ontological content about the environment. More important, I consider how changes to the world can lead a rational agent to alter its own goals, values, and motivations. Finally, I examine the implications of such radical autonomy for development and evaluation of goal-directed intelligent systems.