📄 social_science

Goals in Motion: A Recursive Theory of Goal Persistence, Revision, and Disengagement

This paper proposes the 5S model (Situation, Salience, Simulation, Selection, and Satisfaction) as a unified, recursive framework explaining how goals persist, are revised, or are abandoned through an ongoing process of adaptive feedback rather than as the pursuit of fixed objectives.

Original authors: Kazuo Kadokawa

Published 2026-08-25

📖 6 min read🧠 Deep dive

CC BY 4.0

Original authors: Kazuo Kadokawa

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Human beings are wired to look ahead. We set intentions for our careers, our health, our relationships, and our personal growth, using these aspirations to steer our daily actions. For decades, psychologists have studied how we set these targets and how we keep working toward them, often assuming that once a goal is chosen, the main task is simply to stay the course. We have learned that specific, challenging targets help us perform better, and that goals we feel deeply connected to are easier to maintain. Yet, this view leaves a gap. It explains how we might stick to a plan, but it struggles to explain why we so often change our minds, shift our focus, or give up entirely. In the real world, goals rarely stay fixed. They evolve, sometimes quietly, sometimes dramatically, as we encounter new obstacles, opportunities, or simply new ways of seeing ourselves.

A new theoretical paper by Kazuo Kadokawa of Tokai University seeks to bridge this gap. Rather than treating the decision to keep a goal, change it, or drop it as three separate mysteries, Kadokawa proposes that they are all part of a single, continuous loop. The paper suggests that goal pursuit is not a straight line from a starting point to a finish line, but a recurring cycle of interpretation and adjustment. By weaving together insights from how we set goals, how we motivate ourselves, and how we imagine the future, the author introduces a framework called the "5S model." This model describes how we move through five distinct but connected stages: we first interpret our current situation, then identify what matters most within it, imagine possible futures, choose a path, and finally evaluate the results. The paper argues that the fate of any goal—whether it persists, gets revised, or is abandoned—depends entirely on the feedback we receive at the end of this cycle, which then reshapes how we see the world and what we imagine next.

The core of Kadokawa's argument is that goals are not static objects we pick up and carry; they are dynamic commitments that are constantly being rebuilt. The process begins with Situation. This is not just the raw facts of our environment, but our personal understanding of them. A busy job might feel like a thrilling challenge to one person and an overwhelming burden to another. Before we can have a goal, we must first make sense of where we are. From this understanding, certain concerns rise to the surface in a stage called Salience. We cannot pay attention to everything at once, so our minds highlight specific needs or desires—perhaps a need for security, a desire for creativity, or a worry about health. These highlighted concerns act as a spotlight, narrowing our focus and telling us what is worth thinking about next.

Once a concern is highlighted, we move to Simulation. This is the mental engine of the model. Instead of immediately locking onto a single plan, we use our imagination to construct different versions of the future. We might picture ourselves in a new career, living in a different city, or managing our health in a new way. Crucially, the paper suggests that we do not just simulate to help us reach a goal we already have; we simulate to decide which goal is worth having in the first place. We mentally test out these different futures, weighing their potential rewards against their risks and how well they fit with who we are.

After exploring these possibilities, we enter the stage of Selection. Here, we make a choice. We pick one of the simulated futures to commit to, turning a vague possibility into a concrete goal. This selection is not random; it happens when a future feels desirable, seems achievable given our resources, and aligns with our sense of self. Finally, we reach Satisfaction. This is not just about whether we succeeded or failed in a binary sense. It is a broader evaluation of the outcome. Did the experience feel rewarding? Did it match what we imagined? Did it bring us closer to the person we want to be?

The power of this model lies in what happens after satisfaction. The evaluation does not just end the story; it feeds back into the beginning. The results of our actions change how we see our situation. If a goal worked well, our confidence grows, and we see our situation as full of opportunity, reinforcing the cycle. If it failed, we might see new constraints or realize our priorities have shifted. This feedback loop is where the three different outcomes of goal pursuit emerge.

Persistence happens when the cycle repeats and the evaluation keeps confirming that the goal is still desirable, doable, and true to who we are. We keep going not because we are stubborn, but because the loop keeps telling us we are on the right track. Revision occurs when the feedback suggests that while our underlying concern is still important, the specific path we chose is no longer the best one. Perhaps a new opportunity appeared, or our skills have changed. In this case, we don't stop trying; we simply simulate a new future that better fits the new reality and select a different goal. Disengagement happens when the feedback persistently tells us that the goal is no longer worth pursuing. It might have become impossible, too costly, or simply no longer aligned with our values. In this scenario, the cycle breaks the commitment to that specific future, freeing us to start a new loop with different concerns.

Kadokawa's work suggests that we should stop viewing goal changes as failures of willpower or inconsistencies in character. Instead, persistence, revision, and disengagement are all natural results of the same adaptive process. Whether we are a student choosing a major, an employee navigating a career change, or someone trying to improve their health, we are constantly running this loop. We interpret our world, highlight what matters, imagine what could be, choose a path, and learn from the results. The paper does not claim to have solved the mystery of human motivation with a single formula, nor does it offer a rigid set of rules for success. Instead, it offers a way of seeing our lives as a series of connected moments of adaptation. It reminds us that goals are not fixed destinations we march toward, but living things that move with us, shaped by every experience we have and every future we dare to imagine.

Technical Summary: Goals in Motion: A Recursive Theory of Goal Persistence, Revision, and Disengagement

Problem Statement

Existing psychological research on goal pursuit has generated substantial insights into motivation, self-regulation, and performance, yet it suffers from a lack of integration regarding how goals evolve over time. Current literature typically treats goal persistence, goal revision, and goal disengagement as distinct phenomena explained by separate theoretical traditions (e.g., Goal Setting Theory, Self-Determination Theory, and Goal Adjustment Research). Consequently, the dynamic processes through which goals are continuously reproduced, modified, or abandoned remain insufficiently integrated.

Three specific gaps are identified:

Theoretical Fragmentation: Persistence, revision, and disengagement are studied in isolation rather than as components of a common process.
Ambiguity of Simulation: While future-oriented cognition (mental contrasting, affective forecasting) is recognized as influential, its role is often conceptualized merely as a mechanism to support pre-existing goals, rather than as a generative mechanism for creating alternative futures that may replace existing commitments.
Linear Bias: Existing models often portray goal pursuit as a linear sequence (establishment $\rightarrow$ pursuit $\rightarrow$ achievement/abandonment), failing to explain how goals are repeatedly reconstructed through ongoing evaluation and adaptation in uncertain environments.

Methodology

This paper employs a theoretical and conceptual analysis to develop a unified framework. It does not present empirical data, experiments, or surveys. Instead, it synthesizes insights from diverse fields—including Goal Setting Theory (Locke & Latham), Self-Determination Theory (Deci & Ryan), Goal Adjustment Research (Brandtstädter & Renner; Wrosch; Heckhausen), and research on future-oriented cognition and possible selves (Oettingen; Schacter; Markus & Nurius)—to construct a new recursive model.

The core methodological contribution is the formulation of the 5S Model, a process theory consisting of five interconnected stages:

Situation: The individual's cognitive interpretation of current circumstances (resources, constraints, environment).
Salience: The process by which specific concerns, values, or needs within the situation become psychologically prominent, directing attention to specific domains.
Simulation: The cognitive construction and exploration of alternative future states. Crucially, the model posits simulation as a precursor to goal selection, used to generate and evaluate candidate futures rather than merely supporting established ones.
Selection: The commitment to a specific future trajectory based on three criteria: Desirability (attractiveness), Feasibility (attainability), and Self-Consistency (alignment with identity and values).
Satisfaction: The evaluative feedback loop where outcomes are compared to prior expectations.

The model operates on a recursive logic: the "Satisfaction" stage generates feedback that reshapes the individual's perception of the "Situation," initiating a new cycle of Salience, Simulation, Selection, and Satisfaction.

Key Contributions and Results

The paper proposes that goal persistence, revision, and disengagement are not distinct psychological mechanisms but alternative trajectories emerging from the same recursive process of adaptation. The specific outcomes are defined by the nature of the evaluative feedback within the recursive cycle:

Goal Persistence: Occurs when recursive evaluation repeatedly confirms the desirability, feasibility, and self-consistency of a selected future. Commitment is continuously regenerated because the goal satisfies the conditions of its original selection.
Goal Revision: Occurs when recursive evaluation generates alternative simulated futures that are perceived as more desirable, feasible, or self-consistent than the currently selected goal. The underlying concern remains salient, but the specific trajectory is redefined (e.g., shifting from a specific career path to a related field).
Goal Disengagement: Occurs when recursive evaluation persistently undermines the desirability, feasibility, or self-consistency of a selected future, leading to the withdrawal of commitment. This is framed not as a failure of self-control but as an adaptive release of resources to explore new possibilities.

The paper advances seven specific propositions:

Goals emerge through the simulation and evaluation of alternative future states.
Simulated futures become goals when perceived as desirable, feasible, and self-consistent.
Evaluations of outcomes reshape situational perceptions and initiate new cycles.
Evaluative feedback updates situational perceptions, creating the conditions for persistence, revision, or disengagement.
Persistence is likely when recursive evaluation repeatedly confirms the three selection criteria.
Revision occurs when new simulated futures are judged superior to current goals.
Disengagement occurs when recursive evaluation persistently undermines the selection criteria.

Significance and Claims

The paper claims to offer a unified framework that integrates previously fragmented strands of research. Its significance lies in three primary shifts in perspective:

From Formation to Dynamics: The focus shifts from explaining how goals are initially formed to explaining how they evolve, persist, change, or disappear over time. Goal formation is reconceptualized as one phase within a larger, ongoing process.
Unified Outcomes: Persistence, revision, and disengagement are presented as interconnected outcomes of a common recursive process rather than separate phenomena requiring distinct explanations. The differences between them are differences in evaluative trajectories, not fundamental psychological mechanisms.
Recursive Adaptation: Goal pursuit is reconceptualized not as the execution of a fixed plan, but as an ongoing process of recursive adaptation. Goals are dynamic commitments that are continuously reconstructed through cycles of interpretation, simulation, selection, and evaluation.

The paper explicitly acknowledges its limitations, noting that it is a theoretical proposal without direct empirical testing. It calls for future research to investigate the operation of these recursive dynamics across different populations, cultural settings, and goal domains, and to empirically test the conditions under which specific trajectories (persistence vs. revision vs. disengagement) emerge. The framework is intended to serve as a foundation for a more dynamic theory of goal pursuit that accounts for the "motion" of goals throughout the human life course.

Technical Summary: Goals in Motion: A Recursive Theory of Goal Persistence, Revision, and Disengagement

Problem Statement

Methodology

Key Contributions and Results

Significance and Claims

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