Goals, Plans and Actions

Value of the Information & Strength of the Argument

The video provides a clear and detailed explanation of PAM, a significant contribution to AI story understanding. It effectively demonstrates the limitations of script-based approaches and motivates the need for goal/plan reasoning. The argumentation is logical, building from examples to the system’s architecture. However, it lacks critical evaluation of PAM’s limitations and does not discuss modern alternatives. The value lies in its pedagogical clarity, but it is not a comprehensive review.

Scientific Rigor, Source Quality, Title Accuracy

The video is based on the book ‘Inside Computer Understanding’ by Schank and Riesbeck, which is a credible source in AI. However, the video does not provide direct citations to primary papers, and the presentation is informal. The title accurately reflects the content. The video is a lecture, so it is not peer-reviewed, but it is consistent with established AI history. The adequacy between title and content is good.

The title accurately reflects the content, which focuses on goals, plans, and actions in the context of story understanding.

7/10

The video is a lecture-style presentation of classic AI research on goal/plan reasoning (PAM), based on the book 'Inside Computer Understanding' by Schank and Riesbeck. It accurately describes the PAM system and its components, but lacks citations to primary sources and is dated (2016). The content is consistent with established AI history, but the presentation is informal and lacks peer-reviewed references.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 00:00Introduction to the lecture and the book 'Inside Computer Understanding'.
• 01:00Discussion of scripts and their limitations.
• 03:00Introduction to PAM and its purpose.
• 05:00Examples of stories that require goal/plan reasoning.
• 08:00Explanation of delta goals and plan boxes.
• 10:00Personality types based on plan selection.
• 12:00Goal interactions: subsumption, conflict, competition, positive interaction.
• 15:00PAM's three components: predictive, bottom-up, incorporation.
• 18:00Example: liquor store robbery and PAM's output.
• 21:00Example: stockcar race and goal prevention.

• Inside Computer Understanding: Five Programs Plus Miniatures — The book that the lecture is based on, by Roger Schank and Christopher Riesbeck.

• PAM (Plan Applier Mechanism) — Wikipedia article that corroborates the description of PAM as a story understanding program.