The enactive account of motivated activity and the hard problem of efficacy (HPE): Artificial life meets the physics of life DOI Open Access
Tom Froese, Г. М. Карелин

Published: May 22, 2023

The enactive approach to cognitive science has undergone a bio-phenomenologically inspired “normative turn” by characterizing an organism’s activity as motivated intrinsic value, where this value is grounded in adaptive self-production under precarious conditions. However, efforts the field of artificial life model conception have unwittingly revealed case what can be called hard problem efficacy (HPE): how could any such make effective difference behavior, particular if bodily purely determined valueless material-organizational factors? First, theoretical challenge HPE formulated context account activity. Then, critically analyzing Schrödinger’s work on methodological principles that define scientific world image, it argued they revised allow solutions HPE. This involves placing limit principle understandability. key move operationalize with concept irruption: motivations physical its activity, but only indeterminately so, akin breakdown constraints. Irruptions thereby indirectly facilitate behavior-switching well long-term self-organization behavior. Finally, proposed own specific energy cost due disordering effect irruptions, which provides new perspective agency and notion mental work.

Language: Английский

Overcoming Low Adherence to Chronic Medications by Improving their Effectiveness Using a Personalized Second-generation Digital System DOI
Areej Bayatra,

Rima Nasserat,

Yaron Ilan

et al.

Current Pharmaceutical Biotechnology, Journal Year: 2024, Volume and Issue: 25(16), P. 2078 - 2088

Published: Jan. 29, 2024

Low adherence to chronic treatment regimens is a significant barrier improving clinical outcomes in patients with diseases. result of multiple factors.

Language: Английский

Citations

8
The Constrained Disorder Principle May Account for Consciousness DOI Creative Commons

Tal Sigawi,

Omer Hamtzany, Josef Daniel Shakargy

et al.

Brain Sciences, Journal Year: 2024, Volume and Issue: 14(3), P. 209 - 209

Published: Feb. 23, 2024

There is still controversy surrounding the definition and mechanisms of consciousness. The constrained disorder principle (CDP) defines complex systems by their dynamic borders, limiting inherent disorder. In line with CDP, brain exhibits a bounded borders essential for proper function, efficient energy use, life support under continuous perturbations. brain’s variability contributes to its adaptability flexibility. Neuronal signal challenges association structures consciousness methods assessing present paper discusses some theories about consciousness, emphasizing failure explain variability. This describes how CDP accounts consciousness’s variability, complexity, entropy, uncertainty. Using newly developed second-generation artificial intelligence systems, we describe CDP-based platforms may improve disorders (DoC) accounting platform could be used response current interventions develop new therapeutic regimens patients DoC in future studies.

Language: Английский

Citations

6
A Feasibility Open-Labeled Clinical Trial Using a Second-Generation Artificial-Intelligence-Based Therapeutic Regimen in Patients with Gaucher Disease Treated with Enzyme Replacement Therapy DOI Open Access

Noa Hurvitz,

Tama Dinur, Shoshana Revel‐Vilk

et al.

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(11), P. 3325 - 3325

Published: June 5, 2024

Background/Objectives: Gaucher Disease type 1 (GD1) is a recessively inherited lysosomal storage disorder caused by deficiency in the enzyme β-glucocerebrosidase. Enzyme replacement therapy (ERT) has become standard of care for patients with GD. However, over 10% experience an incomplete response or partial loss to ERT, necessitating exploration alternative approaches enhance treatment outcomes. The present feasibility study aimed determine using second-generation artificial intelligence (AI) system that introduces variability into dosing regimens ERT improve and potentially overcome enzyme. Methods: This was open-label, prospective, single-center proof-of-concept study. Five GD1 who received were enrolled. used Altus Care™ cellular-phone-based application, which incorporated algorithm-based approach offer random within pre-defined range set physician. app enabled personalized therapeutic variations dosages administration times. Results: AI-based regimen associated stable responses GD1. SF-36 quality life scores improved one patient, sense change health two; platelet levels increased two patients, hemoglobin remained stable. demonstrated high engagement rate among caregivers, showing compliance regimen. Conclusions: highlights potential variability-based effectiveness GD calls further longer trials validate these findings.

Language: Английский

Citations

6
The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from “Nice to Have” to Mandatory Systems DOI Creative Commons

Noa Hurvitz,

Yaron Ilan

Clinics and Practice, Journal Year: 2023, Volume and Issue: 13(4), P. 994 - 1014

Published: Aug. 20, 2023

The success of artificial intelligence depends on whether it can penetrate the boundaries evidence-based medicine, lack policies, and resistance medical professionals to its use. failure digital health meet expectations requires rethinking some challenges faced. We discuss most significant faced by patients, physicians, payers, pharmaceutical companies, systems in world. goal healthcare is improve outcomes. Assisting diagnosing, collecting data, simplifying processes a "nice have" tool, but not essential. Many these have yet be shown Current outcome-based economic constraints make have," "assists," "ease processes" insufficient. Complex biological are defined their inherent disorder, bounded dynamic boundaries, as described constrained disorder principle (CDP). It provides platform for correcting systems' malfunctions regulating degree variability. A CDP-based second-generation system solutions faces. Therapeutic interventions held outcomes with systems. In addition improving clinically meaningful endpoints, algorithms ensure patient physician engagement reduce system's costs.

Language: Английский

Citations

15
Using Constrained-Disorder Principle-Based Systems to Improve the Performance of Digital Twins in Biological Systems DOI Creative Commons

Tal Sigawi,

Yaron Ilan

Biomimetics, Journal Year: 2023, Volume and Issue: 8(4), P. 359 - 359

Published: Aug. 11, 2023

Digital twins are computer programs that use real-world data to create simulations predict the performance of processes, products, and systems. may integrate artificial intelligence improve their outputs. Models for dealing with uncertainties noise used accuracy digital twins. Most currently systems aim reduce Nevertheless, biological characterized by inherent variability, which is necessary proper function. The constrained-disorder principle defines living as having a disorder part existence operation while kept within dynamic boundaries. In present paper, we review role in complex its bioengineering. We describe medical applications current methods modeling. paper presents effectiveness twin continuously implementing variability signatures simultaneously reducing unwanted inputs Accounting noisy internal external environments future design improved, more accurate

Language: Английский

Citations

13
Free Will as Defined by the Constrained Disorder Principle: a Restricted, Mandatory, Personalized, Regulated Process for Decision-Making DOI Creative Commons
Yaron Ilan

Integrative Psychological and Behavioral Science, Journal Year: 2024, Volume and Issue: unknown

Published: June 20, 2024

Abstract The concept of free will has challenged physicists, biologists, philosophers, and other professionals for decades. constrained disorder principle (CDP) is a fundamental law that defines systems according to their inherent variability. It provides mechanisms adapting dynamic environments. This work examines the CDP's perspective concerning various theories. Per CDP, lack intentions, "freedom" select act built into design. embedded within response range determined by boundaries systems' built-in self-generating mechanism enables cope with perturbations. According neither dualism nor an unknown metaphysical apparatus dictates choices. Brain variability facilitates cognitive adaptation complex, unpredictable situations across Human behaviors decisions reflect underlying physical in brain organs dealing noises. Choices are not predetermined but ongoing processes prssu½res. Malfunctions disease states characterized inappropriate variability, reflecting inability respond adequately Incorporating CDP-based interventions can overcome malfunctions improve decision processes. second-generation artificial intelligence platforms being evaluated augment personal development, wellness, health.

Language: Английский

Citations

5
Harnessing Variability Signatures and Biological Noise May Enhance Immunotherapies’ Efficacy and Act as Novel Biomarkers for Diagnosing and Monitoring Immune-Associated Disorders DOI Creative Commons

Tal Sigawi,

A Israeli, Yaron Ilan

et al.

ImmunoTargets and Therapy, Journal Year: 2024, Volume and Issue: Volume 13, P. 525 - 539

Published: Oct. 1, 2024

Lack of response to immunotherapies poses a significant challenge in treating immune-mediated disorders and cancers. While the mechanisms associated with poor responsiveness are not well defined change between among subjects, current methods for overcoming loss insufficient. The Constrained Disorder Principle (CDP) explains biological systems based on their inherent variability, bounded by dynamic boundaries that internal external perturbations. Inter intra-subject variability characterize immune system, making it difficult provide single therapeutic regimen all patients even same over time. dynamicity is also personalizing immunotherapies. CDP-based second-generation artificial intelligence system an outcome-based platform incorporates personalized signatures into may improving treatments. offer method identifying new biomarkers early diagnosis, monitoring immune-related disorders, evaluating

Language: Английский

Citations

5
Inter-organ correlations in inflammation regulation: a novel biological paradigm in a murine model DOI Open Access

Yehudit Shabat,

Devorah Rotnemer-Golinkin,

Lidya Zolotarov

et al.

Journal of Medicine and Life, Journal Year: 2025, Volume and Issue: 18(1), P. 67 - 72

Published: Jan. 1, 2025

Interactions between immune system constituents are mediated through direct contact or the transfer of mediators. The study aimed to assess correlation components and out-of-body signals in a model liver inflammation. In first experiment, mice injected with Concanavalin A (ConA) were housed cage tube on top containing healthy livers harvested from ConA. second that contained splenocytes naïve donors treated vitro dexamethasone. Mice tested for serum aspartate aminotransferase (AST) alanine (ALT) levels. External whole spleens influenced immune-mediated inflammatory response mice. When ConA-injected cages tubes mice, ALT levels significantly reduced. elevated when kept part ConA had increased Similarly, dexamethasone-treated also showed data suggest correlations can be established using without

Language: Английский

Citations

0
The Constrained Disorder Principle: Beyond Biological Allostasis DOI Creative Commons

Ofek Adar,

Josef Daniel Shakargy, Yaron Ilan

et al.

Biology, Journal Year: 2025, Volume and Issue: 14(4), P. 339 - 339

Published: March 25, 2025

The constrained disorder principle (CDP) defines complex biological systems based on inherent variability. Allostasis refers to the physiological processes that help maintain stability in response changing environmental demands. Allostatic load describes cumulative wear and tear body resulting from prolonged exposure stress, it has been suggested mediate relationship between stress disease. This study presents concepts of CDP allostasis while discussing their similarities differences. We reviewed current literature potential benefits introducing controlled doses noise into interventions, which may enhance effectiveness therapies. paper highlights promising role variability provided by a CDP-based second-generation artificial intelligence system improving health outcomes.

Language: Английский

Citations

0
The Relationship Between Biological Noise and Its Application: Understanding System Failures and Suggesting a Method to Enhance Functionality Based on the Constrained Disorder Principle DOI Creative Commons
Yaron Ilan

Biology, Journal Year: 2025, Volume and Issue: 14(4), P. 349 - 349

Published: March 27, 2025

The Constrained Disorder Principle (CDP) offers a new framework for understanding how biological systems use and manage noise to maintain optimal functionality. This review explores the relationship between at various scales, including genetic, cellular, organ levels, its implications system malfunctions. According CDP, all require an range of function appropriately, disease states can arise when these levels are disrupted. presents evidence supporting this principle across different contexts, such as genetic variability, cellular behavior, brain functions, human aging, evolution, drug administration. For accurate clinical assessments, it is essential distinguish technical variability intrinsic variability. When adequately constrained, serves fundamental mechanism adaptation functioning rather than simply source disruption. These findings have important developing more effective therapeutic strategies systems’ dynamics. CDP-based second-generation artificial intelligence help regulate address improved outcomes in conditions by incorporating controlled randomness. Understanding patterns has significant diagnosis, treatment monitoring, development medical conditions.

Language: Английский

Citations

0