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.
Organizers
Name | Affiliation | 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
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
Schedule
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 | -- | Slides | Talk |
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 | Slides | Talk | |
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 | Slides | Talk | |
11:50- 12:10 | Agent Goal Management using Goal Operations Sravya Kondrakunta, Venkatsampath Raja Gogineni and Michael Cox | Slides | Talk | |
12:10- 12:30 | Plan-design Goal Recognition with Autoencoding Transformer for the Cerbrec Modeling Platform David Winer and Garrett Wang | Slides | Talk | |
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 | Slides | Talk | |
1:50-2:10 | EDA, An Empathy-Driven Computational Architecture Xinmiao Yu, Riccardo Morri and Fernanda M. Eliott | Slides | Talk | |
2:10-2:30 | Toward Human-Level Goal Reasoning with a Natural Language of Thought Philip Jackson | Slides | Talk | |
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.