Understanding Predictive Psychology: The Science of Energy Budgeting

We are energy machines, continuously consuming and burning energy as we navigate through life. Energy is the essence of existence; it fuels our every action, thought, and emotion. To survive in this ever-evolving world, we must engage in effective budgeting of this precious resource. The choices we make—whether to expend energy on productive behaviors or wasteful distractions—are crucial for not only survival but also thriving amidst the complexities and challenges we face daily. Our ability to manage energy efficiently allows us to propel ourselves forward, harnessing our potential while minimizing unnecessary drains on our vitality.

In the realm of predictive psychology, a wealth of new research has emerged that builds upon the foundational theories surrounding the predicting mind and its relationship with energy budgeting. This field emphasizes how our brains are constantly forecasting future needs based on past experiences and current observations.

By making educated predictions about where to allocate our limited resources, we can enhance our decision-making processes and optimize performance across various aspects of life. Understanding these psychological mechanisms helps us recognize the importance of prediction—not merely as a cognitive exercise but as an essential function for maintaining balance and efficiency in both mental and physical realms.

Prominent Role of Prediction in Survival

Prediction isn’t just a matter of convenience or slightly improved efficiency. Moderately accurate predictions are a prerequisite of survival. Prediction beats reaction. Life is complex, moving at break next speeds. If we stall, enclosing ourselves exclusively in the moment, we lose a competitive advantage. Our reactions will fail much of the time leaving us naked and vulnerable to harsh consequences of an unforgiving world.

Lisa Feldman Barrett, Ph.D., a University Distinguished Professor at Northeastern University with appointments at the Massachusetts General Hospital and Harvard Medical School, wrote:

“A creature that prepared its movement before the predator struck was more likely to be around tomorrow than a creature that awaited a predator’s pounce. Creatures that predicted correctly most of the time, or made nonfatal mistakes and learned from them, did well. Those that frequently predicted poorly, missed threats, or false-alarmed about threats that never materialized didn’t do so well. They explored their environment less, foraged less, and were less likely to reproduce” (Barrett, 2020).

Prediction efficiently motivate action. We’re able to act without stressed with reactions after the predator pounces. Our ancestors faced ferocious predators with claws and fangs; we face equally horrid foes that seek our freedom, money, and peace of mind. If we can’t predict who they are, or what they will do we will be crushed by their ruthless attacks.

​Predictions: Unconscious and Conscious

When we think about predictions, we often default to conscious efforts to predict the future. We study financials, make budgets, evaluate relationship behaviors. Certainly, conscious considerations, drawing upon available resources, and organizing costs and benefits provides helpful guides to choices.  Yet in brain science and psychology theories, prediction refers to an unconscious process occurring in the brain and motivating action.

Both conscious and unconscious predictions share some characteristics. Joseph LeDoux wrote:

“We live in a complex world where the physical and social environment changes from moment to moment and we often integrate immediate needs and past learning with predictions about the best course of action to take. We use our capacity to think, reason, and evaluate. We make decisions” (LeDoux, 2003).

Whether a prediction is made from conscious deliberations, or unconscious processing, accuracy depends on the quality of data. Both unconscious and conscious predictions are vulnerable to erroneous, unreliable, or misinterpreted facts.

​Conscious Prediction

Conscious prediction is a staple ingredient of workable plans of actions. Accurate predictions helps avoid downfalls, and prepare for unseen obstacles. Prediction is necessary for budgeting time and energy to complete large tasks. We predict expenses and save money to pay for expenses. Without accurate conscious prediction, life is exponentially more stressful.

Last year, a family escaped into the mountains for a hike. They woefully mispredicted the heat, their bodies’ needs, and the danger of dehydration. Mother, father, child and family dog died from heat exhaustion only 1.6 miles from their car (2022, CBS News).

Unconscious Prediction

Barrett explains, “​Your brain is wired to initiate your actions before you’re aware of them” (Barrett, 2020). Unconscious prediction is such a fundamental activity of the brain that, “Many scientists consider it the brain’s primary purpose” (Barrett, 2018, p. 59). Unconscious predictions is essentially neuronal activity. Our brain is having an internal conversation with itself. “A bunch of neurons make their best guess about what will happen in the immediate future based on whatever combination of past and present that your brain is currently conjuring” (Barrett, 2020).

Ledoux describes that through the unconscious decision making process “we compress trial-and-error learning experiences into an instantaneous mental evaluation about the consequence of a particular action will be for a given situation.” These predictive evaluations require “on-line integration of information from diverse sources: perpetual information about the stimulus and situation, relevant facts and experiences stored in memory, feedback from emotional systems and the physiological consequences of emotional arousal, expectations about the consequences of different courses of action, and the like” (LeDoux, 2003).

Barrett and other scientists when explaining prediction are referring to the unconscious predictions that our brains constantly make. They are theorizing about “predictions at a microscopic scale as millions of neurons talk to one another” (Barrett, 2018, p. 59).

Prediction Error

Predictions are not perfect. We routinely predict wrongly. Errors in prediction is “a normal part of the operating system” (Barrett, 2018, p. 62). Jose M. Araya explains, “The difference between sensory predictions and the incoming sensory signals is known as prediction error” (Araya, 2019).

Our brain, according to predictive processing theories, is intimately involved in the process of prediction and evaluating the success and failures of those predictions by comparing subsequent interoceptive information. As Araya puts it, “All that the brain does, in all its functions, is to minimize prediction error (Araya, 2019).

Our mind constantly creates tentative hypotheses to predictively interpret incoming information. When incoming information clashes with the hypothesis, we experience a cognitive dissonance—a momentary stutter, demanding altering the hypothesis to fit incoming signals. 

If we cling to our ill fitting hypothesis, the incoming signals create friction, and we trigger prediction error. Barrett points out that this second option of stubbornly sticking to the original prediction motivates filtering incoming sensory information so its consistent with the prediction (Barrett, 2018, p. 64).

​​Complexity and Predictive Psychology

​Complexity is a reoccurring topic in many of the articles published here at Psychology Fanatic. When I research a topic, the underlying goal is clarity. This requires simplifying. However, psychology (well, most everything) does not exist in simplicity.

Predictive processes are more than a simple event, a hypothesis, prediction, and then final consequence certifying the prediction as correct or in error. Our brain’s predictive processes are not so linear. Predictions dynamically jump back and forth, both giving and receiving information. Most occurrences have a multitude of options, leaving our predictive brains with a plentitude of options for dealing with the given situation. Our predictive brain creates “a flurry of predictions and estimates probabilities for each one” (Barrett, 2020). 

Through the commotion and fuss the excited prediction process, emerges a prediction, seemingly instantaneously. Barrett warns that, “Often it’s the prediction that best matches the incoming data, but not always. Either way, the winning prediction becomes your action and your sensory experience” (Barrett, 2020).

​Evaluating Predictions

Our predicting brain constantly is at work to validate or discredit predictions, checking predictions against the sense data coming from the world and interoceptive messages from within. As a prediction is validated, our neurons begin firing, integrating incoming sensory data (Barrett, 2018). We are primed for action. Basically, our brains are on-line and motivating action. Consequently, we jump out of the way of the moving car before our conscious minds join the predictive party.

​Once these processes are set in motion with neurons firing together, and behavior responses forming, or completed, the task of the conscious mind to put on the brakes and change directions can be a significant, energy depleting chore.

​Budgeting Energy

Energy efficiency is key to survival. Predictions, therefore, become an essential process in budgeting the life force of survival. We budget energy by “automatically predicting and preparing to meet the body’s needs before they arise” (Barrett, 2020).

The body thrives when in homeostatic balance. When we get pushed from this biological sweet spot, illness creeps in, and systems begin to decay. Pushed too far from a homeostatic range and we die. Events create stress, stress provides sensory information to our brains, we predict internal and external causes for our fluctuating biological states, and make adjustments, bringing our system back into an ideal state for growth.

We budget energy by predicting recurring stress, minimizing its impact through preparatory measures, and by budgeting energy to manage unavoidable encounters. “The value of any movement is intimately bound up with body budgeting allostasis” (Barrett, 2020). Each time we move our body, this includes all the splendid operations of survival such as a beating heart, and breathing lungs, we expend energy. Stress increases the energy needs of organs depleting this life force.

We replenish energy needs through rest and consumption. Our biological system is constantly engaged in spending and replenishing energy. We manage this flow of energy through constantly predicting our body’s energy needs. Barrett expounds on this, explaining, “Your body-budgeting regions make predictions to estimate the resources to keep you alive and flourishing, using past experience as a guide” (Barrett, 2018, p. 69).

​Predictive Psychology and Emotion

Introspection is a key component in this process. By monitoring internal changes and energy demands, our predictive mind receives feedback on energy usage while also storing information into memory on the impact of internal and external events on our energy use. Barrett wrote that, “The interoceptive network issues predictions about our body, tests the resulting situations against sensory input from our body, and updates your brain model of your body in the world” (Barrett, 2018, p. 67).

Araya theorizes that, “Emotions might arise via external interoceptive active inference, by sampling and modifying the external environment in order to change a valanced feeling” (Araya, 2019). Our emotional concepts arise from this dynamic interaction between environments, bodily reactions (feeling affects), and hypothetical meanings of the causes creating the internal fluctuations.  T. Franklin Murphy wrote, “Feeling affects draw conscious attention to the feeling incident and we interpret the feeling, giving emotion labels that categorize and characterize the experience with greater granularity” (Murphy, 2021).

At PredictingBetter.org, they provide training to psychologists, psychotherapists, counselors, therapists, and coaches in training clients to better use prediction to improve wellness and overcome psychological distress. They clearly argue, with supporting research, that distress comes from flawed predictions and relief comes from updating those predictions.

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Prediction Processes Brain Theory 

The predictive psychology process theory offers a robust and well-supported framework for understanding the intricate mechanisms that underlie our behavioral and emotional functions. It emphasizes the brain’s role as a prediction machine, continuously generating hypotheses based on past experiences and sensory input to navigate the complexities of life.

Understanding how these predictions influence our actions and reactions, we gain valuable insights into the ways in which cognitive processes shape our daily experiences. This insight not only enhances our comprehension of human behavior but also provides practical applications in various fields, including mental health treatment, education, and personal development.

A key takeaway from this theory is the importance of exposing ourselves to a diverse array of information while focusing on alternative possibilities. Engaging with varied perspectives can challenge outdated or rigid assumptions held within our predictive models, ultimately fostering greater adaptability in thought processes.

As we encounter new ideas and experiences, we create opportunities for updating our predictions with relevant interpretations that reflect the dynamic nature of our ever-changing environment. This continual refinement enhances cognitive flexibility and resilience, enabling us to respond more effectively to challenges and uncertainties—essential components for achieving overall wellness in both psychological and physical domains.

Associated Concepts

• Cognitive Neuroscience: PPF is deeply intertwined with cognitive neuroscience, as it seeks to explain how the brain generates consciousness, and how cognition influences perception.
• Psychopathology: PPF is applied to understand individual differences in mental illness, aiming to systematize explanations and treatments of psychopathological symptoms.
• Rational Choice Theory: This theory suggests individuals make decisions by weighing the costs and benefits of different options. It assumes that people are rational actors who seek to maximize their self-interest.
• Reinforcement Learning: This refers to the process of learning from consequences that strengthens or weakens the behavior it follows, making that behavior more or less likely to occur again in the future. It’s a core concept in operant conditioning, a learning theory developed by B.F. Skinner.
• Consciousness Theories: Predictive processing theories contribute to the understanding of consciousness, particularly the ‘hard problem’ of why we have subjective experiences at all.
• Neuroeconomics: This field of study combines methods and theories from neuroscience, psychology, and economics to understand how individuals make decisions. By exploring the neural mechanisms underlying economic decision-making processes, neuroeconomics aims to shed light on topics such as risk, reward, and social interactions.
• Risk Assessment: This refers to a systematic process of identifying potential hazards or risks, analyzing the likelihood and severity of harm or negative outcomes associated with those hazards, and evaluating the overall risk level to determine appropriate mitigation or management strategies.
• Embodied Cognition: The theory suggests that our bodies influence cognition, which aligns with the principles of embodied cognition.

A Few Words by Psychology Fanatic

In conclusion, predictive processing in psychology offers a compelling framework for understanding the intricate mechanisms of the human mind. It bridges the gap between cognitive neuroscience and philosophical psychology, providing a unified approach to the study of consciousness, perception, and action. By viewing the brain as a prediction machine, constantly updating its internal models to minimize errors, this theory sheds light on the dynamic nature of mental processes. It has profound implications for the treatment of psychopathology and the development of artificial intelligence, marking a significant step forward in our quest to decipher the complexities of the human brain. As we continue to explore and refine predictive processing, it stands as a testament to the power of interdisciplinary research in unraveling the mysteries of cognition and behavior.

Last Update: January 19, 2026

References:

Araya, Jose (2019). Emotion and the predictive mind: Emotions as (almost) drives. Revista de Filosofia Aurora. DOI: 10.7213/1980-5934.31.054.DS13
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Barrett, Lisa Feldman (2020) Seven and a Half Lessons About the Brain. Houghton Mifflin Harcourt. ISBN-10: 035864559X
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Barrett, Lisa Feldman (2018) How Emotions Are Made: The Secret Life of the Brain. Mariner Books; Illustrated edition. ISBN-10: 1328915433; APA Record: 2017-26294-000
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LeDoux, Joseph (2003). Synaptic Self: How Our Brains Become Who We Are. Penguin Books. ISBN-10: ‎0142001783
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Murphy, T. Franklin (2021). Emotion Differentiation. Psychology Fanatic. Published: 9-17-2021; Accessed: 3-7-2022. Website: https://psychologyfanatic.com/emotion-differentiation/
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Predicting Better. Website: https://predictingbetter.org/#regulation

CBS News. Website: https://www.cbsnews.com/news/family-hiking-trail-deaths-final-text/