GR 2016 - 2016 Workshop on Goal Reasoning

Goals are a unifying structure across the variety of intelligent systems, and reasoning about goals takes many forms. In the most encompassing view, intelligent systems can use goal structures (or goal rewards) to manage long-term behavior, anticipate the future, select among priorities, commit to action, generate expectations, assess tradeoffs, resolve the impact of notable events, or learn from experience. As a result, the broad topic of goal reasoning is studied in diverse subfields of AI such as motivated systems, cognitive science, automated planning, and agent-oriented programming to name but a few. This workshop aims to bring together researchers from sometimes distinct subfields to encourage cross-disciplinary discussion on goal reasoning. Topics include, but are not limited to:
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 reasoning in humans
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-goalling)
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