Related Experiment Video
Updated: May 15, 2026
06:45
Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
Published on: April 18, 2017
Goals and the structure of experience
Nadav Amir1, Stas Tiomkin2, Angela Langdon3
1Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Summary
This study introduces a new computational framework for purposeful behavior in cognitive agents. It proposes that descriptive and prescriptive world models emerge together from an agent's goals and experiences, offering a unified view of intelligence.
Area of Science:
- Cognitive Science
- Artificial Intelligence
- Computational Neuroscience
Background:
- Purposeful behavior is key to natural and artificial intelligence.
- Current models often separate descriptive (state representation) and prescriptive (reward function) world model components.
- An alternative is that these aspects co-emerge from an agent's goals.
Purpose of the Study:
- To present a computational framework where descriptive and prescriptive world model aspects co-emerge.
- To introduce the concept of 'telic states' based on Buddhist epistemology.
- To offer a unified account of purposeful behavior.
Main Methods:
- Developed a computational framework for goal-directed state representation.
- Defined 'telic states' as classes of goal-equivalent experience distributions.
- Utilized agent-environment interaction sequences (experiences).
Main Results:
- Demonstrated how descriptive and prescriptive world model aspects can co-emerge.
- Showcased 'telic states' as a parsimonious model for goal-directed learning.
- Linked goal-directed learning to statistical divergence between policies and desired experiences.
Conclusions:
- The proposed framework offers a novel perspective on world models and purposeful behavior.
- Telic states provide a unified account across behavioral, phenomenological, and neural dimensions.
- This approach has potential applications in understanding intelligence across diverse substrates.
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