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Authors:Bas van Woerkum Abstract: Adaptive Behavior, Ahead of Print. Mindreading and behaviour-reading depict social cognition as an inferential process, taking place inside the individual. This process consists either of mental state ascription (mindreading) or application of general rules (behaviour-reading). In this paper, I develop an alternative to both views, which focuses not on the processes in the animal’s head, but on the sociomaterial processes that animals are in and that organize their ongoing activities. Instead of an individual trying to predict the behaviour of another individual based on inferential abilities, the animal is responsive to affordances and how they are nested within the sociomaterial processes that make up the environment. I argue that this depiction of animal social cognition is preferable, because it is allows us to understand the social abilities of nonhuman animals free from our current understanding of human social cognition. Citation: Adaptive Behavior PubDate: 2022-06-11T11:45:13Z DOI: 10.1177/10597123221102209
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Authors:Alex Kearney, Anna J Koop, Patrick M Pilarski Abstract: Adaptive Behavior, Ahead of Print. Constructing general knowledge by learning task-independent models of the world can help agents solve challenging problems. However, both constructing and evaluating such models remain an open challenge. The most common approaches to evaluating models is to assess their accuracy with respect to observable values. However, the prevailing reliance on estimator accuracy as a proxy for the usefulness of the knowledge has the potential to lead us astray. We demonstrate the conflict between accuracy and usefulness through a series of illustrative examples including both a thought experiment and an empirical example in Minecraft, using the General Value Function framework (GVF). Having identified challenges in assessing an agent’s knowledge, we propose an alternate evaluation approach that arises naturally in the online continual learning setting: we recommend evaluation by examining internal learning processes, specifically the relevance of a GVF’s features to the prediction task at hand. This paper contributes a first look into evaluation of predictions through their use, an integral component of predictive knowledge which is as of yet unexplored. Citation: Adaptive Behavior PubDate: 2022-06-10T02:58:33Z DOI: 10.1177/10597123221095880
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Authors:Wolff-Michael Roth Abstract: Adaptive Behavior, Ahead of Print. The target article presents an alternative view on cognition through the lens of human practice, which is experienced from within by practitioners and through their course-of-experience. It pays specific heed to micro-phenomenological and semiotic aspects that the situated cognition literature has not in general attended to. However, the proposed framework can be read as reducing events to self-identical actors, organisms, environment, or signs, which impedes the goal of overcoming the body-mind Cartesian dualism. This commentary focuses on two issues. First, experiencing, as event, needs to be analyzed by means of categories that retain the its evental qualities. This cannot be done by attempting to breathe life into people and things through enaction. Second, human life and any of its parts, as irreducibly transactional phenomena, are essentially and originarily social. Citation: Adaptive Behavior PubDate: 2022-06-03T09:56:15Z DOI: 10.1177/10597123221104853
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Authors:Andres Kurismaa Abstract: Adaptive Behavior, Ahead of Print. Received concepts of neural activity, building on the technical concepts of information processing and coding, do not formulate the problems that an organism must formulate in order to cope with its environment. Specifically, this includes the problems of self-maintenance and adaptation, and how such activities are to be monitored and corrected in case of their (anticipated) deviation from viable norms. In this paper, it is shown how the functional systems theory of P. K. Anokhin formulated key notions of adaptive control, self-monitoring, and self-detectable (“system-detectable”) error that directly anticipate current debates on neural information and representation, and allow to reframe these debates in new empirical and theoretical perspectives. In addition to showing this on the basis of early (less known and untranslated) works, we analyze how functional systems pose new questions for current research. Specifically, recent discoveries in integrative and cellular neuroscience regarding the biophysical limits of signal summation in neural cells directly confirm Anokhin’s analysis of the integrative activities of the neuron. These findings may have wide implications, and call for new and biologically more specific models of the integrative and semiotic closure of nervous activity, in line with the systemic closure of the organismic functions in which they participate. Citation: Adaptive Behavior PubDate: 2022-06-01T12:37:21Z DOI: 10.1177/10597123221089557
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Authors:Francisco J Parada, Ismael Palacios-García Abstract: Adaptive Behavior, Ahead of Print. A recent opinion article suggested that the target article, “The holobiont mind: A bridge between 4E cognition and the microbiome”, wished to generate a “new theory of mind”. Furthermore, it contained ideas that were “unnecessary”, “not justified”, and “not innovative at all”. Furthermore the commentators consider that “the ideas of radical enactivism can properly accommodate this research”. Here, we address and clarify apprehensions, misreadings, and misunderstandings raised by the commentators. Citation: Adaptive Behavior PubDate: 2022-05-30T06:37:57Z DOI: 10.1177/10597123221088874
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Authors:Jonathan McKinney, Sune Vork Steffensen, Anthony Chemero Abstract: Adaptive Behavior, Ahead of Print.
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Authors:Marek McGann Abstract: Adaptive Behavior, Ahead of Print. This commentary addresses the course-of-experience method in the context of calls for improved theorising in psychological science, and in particular the prospect of applying distinctive means of analysis to examine patterns and variance both between people and across contexts. Psychology can benefit by the development of both theories of principle (formal accounts of the structure of phenomena) and constructive theories (formal accounts of the mechanics of phenomena). The course-of-experience method can provide a useful step toward the development of both. Resonances with other work grounded in naturalistic observation identify potential questions that remain as to how the course-of-experience method can address questions about the relationship between individual and collective aspects of experience, but the technique represents a significant boon to the future development of valid cognitive science. Citation: Adaptive Behavior PubDate: 2022-05-23T01:05:31Z DOI: 10.1177/10597123221094360
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Authors:Simon Høffding Abstract: Adaptive Behavior, Ahead of Print. The Course-of-Experience presents an interesting method for working with others’ experience, drawing on Micro-phenomenology (MP), Enactivism, and Peircean semiotics. It addresses possible applications to cognitive science, answering to a call about how to reliably integrate phenomenological data and experimental methods. I applaud the ambitious framework presented in the target paper, and hope that Piozat and colleagues in response or in later work will address three potential shortcoming: (1) How does the framework fare in comparison to similar methods. (2) Why is Peircean semiotics necessary for the framework' 3) Does it need to copy what seems to be epistemological and metaphysical infelicities concerning pre-reflective experience directly from MP' Citation: Adaptive Behavior PubDate: 2022-05-20T09:43:50Z DOI: 10.1177/10597123221094356
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Authors:Letícia Renault Abstract: Adaptive Behavior, Ahead of Print. The target paper presents the foundations of the Course-of-Experience Framework, discussing a theoretical and methodological tool appropriate for addressing cognition in the wild and from-within. This commentary considers the meaning of from-within in this context. By relying on the enactive paradigm, the Course-of-Experience Framework focuses on singular experiences but does not take individuals as its starting point. Thus, from-within gains a very particular meaning that will be explored here through the concept of event, in Deleuzian terms, the event is neither subjective nor objective in the usual meaning of these words, even though it is a singularity, capable of producing both individual and collective effects. This concept prevents considering subjective experience as a property of individuals. The concept of event is valuable to elucidate the notion of “common experiential ground.” Citation: Adaptive Behavior PubDate: 2022-05-20T09:17:06Z DOI: 10.1177/10597123221094361
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Authors:Pierre Steiner Abstract: Adaptive Behavior, Ahead of Print. I situate the originality and the ambiguities of the target paper in the context of post-cognitivist cognitive science and in relation with some aspects of Charles Sanders Peirce’s anti-Cartesianism. I then focus on what the authors call « pre-reflective self-consciousness », highlighting some ambiguities of the characterizations they propose of this variety of consciousness. These ambiguities can become difficulties once one grants a crucial methodological role to this consciousness in the study of cognitive activities. Citation: Adaptive Behavior PubDate: 2022-05-20T09:09:46Z DOI: 10.1177/10597123221094359
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Authors:María Isabel Gaete Abstract: Adaptive Behavior, Ahead of Print. The tension between reflection and experience has been highlighted by Buddhism as the origin of human suffering, described as an undercurrent and constant feelings of restlessness, grasping, anxiety, and dissatisfaction or disease. This universal suffering experience called Dukkha refers to the failure to find a Self in reflection or the frustrated desire or craving to have or to be something. For Buddhism, not only the desired object is illusory, but so is the desiring self. Further, Varela et al. (1993) integrate these ideas into the development of cognitive sciences and the understanding of human experience from an embodied and selfless mind perspective. The present article attempts to apply the Buddhist notion of suffering or Dukkha along with Varela, Thompson, and Rosch’s contributions to the understanding of the embodied sense of Self that characterizes symptoms of Depression. The expression of the self-grasping suffering experiences and the tension between reflection and experience for depressive patients will be discussed from an enacted and embodied perspective. Further, new research ideas along with possible new psychotherapeutic approaches are discussed. Citation: Adaptive Behavior PubDate: 2022-05-20T08:55:06Z DOI: 10.1177/10597123221093101
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Authors:Nicolás Alessandroni, Lambros Malafouris Abstract: Adaptive Behavior, Ahead of Print. The target article provides valuable reflections regarding the study of cognition-in-the-world and proposes a methodology that could help researchers unravel the structure and temporal unfolding of lived experience. In this commentary, we discuss the authors' commitment to the enactive notion of sense-making as the activity of an autonomous system that brings forth a meaningful world to maintain its self-constituted identity. From Material Engagement Theory, we hold that defending such a notion leads to unnecessary ontological asymmetries that obscure the fundamental role of materiality for cognition. On the one hand, we argue that the relationship of close intertwinement and co-constitution that unites organism and environment makes it untenable to characterise cognition as being driven by individuals. In our view, cognition arises from the dynamic encounter between brains, bodies and culture. On the other hand, we suggest that organism and environment should not be seen as separate ontological categories that come to interact with each other but as two terms of a transactional process of continuous becoming. Consistently, we propose to consider meaning as emerging from the in-between space that material engagement creates rather than from the activity of an organism. Citation: Adaptive Behavior PubDate: 2022-05-20T04:25:18Z DOI: 10.1177/10597123221098002
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Authors:Rodrigo Sosa Abstract: Adaptive Behavior, Ahead of Print. Learning is a major determinant of behavioral change for some organisms through their lifecycles. From an associative perspective, learning is assumed to occur whenever organisms experience particular statistical regularities in their environment; specifically, meaningful outcomes that follow certain cues or actions chiefly contribute to behavioral change. However, numerous empirical reports reveal that not all cue–outcome and action–outcome combinations are learned equally well, a phenomenon that is termed belongingness. Those reports are valuable as descriptive-level knowledge, but beg further considerations, like what is the origin, adaptive value of, and underlying mechanisms associated with the predisposition to couple particular events. Contrary to what is often assumed, the mere observation of learning predispositions says little as to whether they arise from genetics, are constrained by hardwired neural circuitries, or have been ecologically advantageous in an evolutionary timescale. The present paper aims to present a number of notions from different research fields outside the hard core of associative learning and, in so doing, provides elements for careful study and conceptualization of this issue. Thereafter, these notions are pooled to understand behavioral variation in a wide array of phenomena, thus, bringing a more informed approach to the nature versus nurture debate. Citation: Adaptive Behavior PubDate: 2022-05-10T05:25:01Z DOI: 10.1177/10597123221097451
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Authors:David White Abstract: Adaptive Behavior, Ahead of Print. Agent-based models, with a history reaching back to the 1940s, have been cited as a useful technique for planning economic development and simulating the effect of economic crashes. These models offer an insightful alternative to the traditional techniques of mathematical modelling. Understanding how different designs of agent-based models change simulation outcomes will be useful for modellers of economic and other simulation scenarios. The work presented here examines how a computer simulation of an agent-based model responds to disruptive events, in the context of an economic model. Agents within the model interact by producing, selling and buying goods. A series of experiments compare system stability in two scenarios: one where a top-down rule is applied to the pricing of goods and another where decision-making is at the individual agent level, a bottom-up approach. These two approaches are termed system-adaptive and self-adaptive. Results draw the conclusion that a self-adaptive function can provide greater stability, but this depends on whether the measured variable is a primary or secondary variable to the adaptive function. Considerations are presented for future work which could consider the impact adaptive functions have on secondary variable measurements. Citation: Adaptive Behavior PubDate: 2022-04-27T11:41:00Z DOI: 10.1177/10597123221095644
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Authors:Banafsheh Rafiee, Zaheer Abbas, Sina Ghiassian, Raksha Kumaraswamy, Richard S Sutton, Elliot A Ludvig, Adam White Abstract: Adaptive Behavior, Ahead of Print. We present three new diagnostic prediction problems inspired by classical-conditioning experiments to facilitate research in online prediction learning. Experiments in classical conditioning show that animals such as rabbits, pigeons, and dogs can make long temporal associations that enable multi-step prediction. To replicate this remarkable ability, an agent must construct an internal state representation that summarizes its interaction history. Recurrent neural networks can automatically construct state and learn temporal associations. However, the current training methods are prohibitively expensive for online prediction—continual learning on every time step—which is the focus of this paper. Our proposed problems test the learning capabilities that animals readily exhibit and highlight the limitations of the current recurrent learning methods. While the proposed problems are nontrivial, they are still amenable to extensive testing and analysis in the small-compute regime, thereby enabling researchers to study issues in isolation, ultimately accelerating progress towards scalable online representation learning methods. Citation: Adaptive Behavior PubDate: 2022-04-27T06:25:04Z DOI: 10.1177/10597123221085039
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Authors:Aitana Grasso-Cladera, Stefanella Costa-Cordella, Alejandra Rossi, Nikolas F Fuchs, Francisco J Parada Abstract: Adaptive Behavior, Ahead of Print. Cognitive dynamics are multimodal, and they need to integrate real-time feedback to be adaptive and appropriate. However, cognition research still relies on mostly unimodal paradigms using simple motor tasks in laboratory-based static situations. This paper addresses this limitation by presenting the Mobile Brain/Body Imaging approach based on the Embodied, Embedded, Extended, and Enactive perspective, which complements traditional laboratory work while also facilitating ecologically valid applications. First, we briefly review Mobile Brain/Body Imaging technologies used to obtain functional and structural images of the Brain/Body System during natural cognition. Specifically: mobile cognitive electrophysiology, mobile functional neurovascular dynamics, and mobile behavioral measurements. Second, we review the development of Mobile Brain/Body Imaging/4E in Chile. Finally, we discuss challenges and opportunities. We conclude that although this new epistemic/methodological approach is promising, there is a need for greater portability, robust equipment, and data-analysis tools that can integrate signals from the brain/body-in-the-world system. Future experimental designs need to re-consider their underlying logic and increase their ecological validity by perhaps-modifying the physical spaces in which experiments are conducted. Citation: Adaptive Behavior PubDate: 2022-04-27T02:52:26Z DOI: 10.1177/10597123211072613
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Authors:Camila Valenzuela-Moguillansky, Ema Demšar Abstract: Adaptive Behavior, Ahead of Print. In recent decades, empirical study of experience has been installed as a relevant and necessary element in researching cognitive phenomena. However, its incorporation into cognitive science has been largely done by following an objectivist frame of reference, without reconsidering the practices and standards involved in the process of research and the interpretation and validation of the results. This has given rise to a number of issues that reveal inconsistencies in the understanding and treatment of some crucial aspects of first-person research. In this article, we will outline a research direction aiming at contributing to the establishment of a framework for the study of experience that addresses these inconsistencies. Specifically, we will identify some challenges facing the study of experience—in particular those linked to the understanding of memory, expression and description, and intersubjectivity in exploring experience—and propose to reframe them under the epistemological framework of the enactive approach. Moreover, we will explore the prospect of gaining insight into theoretical and methodological strategies for dealing with these issues by extending our vision beyond the field of cognitive science to its neighboring fields, focusing in particular on the field of somatic practices. Citation: Adaptive Behavior PubDate: 2022-04-18T05:15:10Z DOI: 10.1177/10597123221084739
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Authors:Germain Poizat, Simon Flandin, Jacques Theureau Abstract: Adaptive Behavior, Ahead of Print. The article presents the course-of-experience framework and how it contributes to studying cognition in practice. The aim is twofold: (a) to argue for a phenomenologically and semiotically inspired enactivist approach to practice and cognition in practice and (b) to describe research methods that provide rigorous first-person data in relation to practice—in other words, a view “from within” of practice. Practice is considered to be a relevant unit of analysis for studying cognition-in-the-world and is defined as enacted, lived, situated, embodied, and enculturated. Practice is not viewed as a “context for” but as “constitutive” of the cognitive process itself. This article describes (a) the epistemological foundation and general assumptions of the course-of-experience framework, (b) the associated way of looking at pre-reflective self-consciousness and its relation to practice, (c) the analytical hypothesis derived from Peirce’s semeiotic, and (d) some methodological considerations related to data collection, data processing, and analysis. In the concluding section, we outline the added value of the course-of-experience framework for cognitive science, and we indicate possible directions for further research. Citation: Adaptive Behavior PubDate: 2022-04-15T08:33:19Z DOI: 10.1177/10597123211072352
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Authors:Renzo C Lanfranco, Andrés Canales-Johnson, Boris Lucero, Esteban Vargas, Valdas Noreika Abstract: Adaptive Behavior, Ahead of Print. The contents of consciousness are complex and dynamic and are embedded in perception and cognition. The study of consciousness and subjective experience has been central to philosophy for centuries. However, despite its relevance for understanding cognition and behaviour, the empirical study of consciousness is relatively new, embroiled by the seemingly opposing subjective and objective sources of data. Francisco Varela (1946–2001) pioneered the empirical study of consciousness by developing novel, naturalised and rich approaches in a non-reductive and comprehensive manner. In this article, we review the main conceptual distinctions and philosophical challenges of consciousness research and highlight the main contributions of Varela and his associates: the development of neurophenomenology as a methodological framework that builds a bridge between subjective and objective sources of data and the discovery of gamma-band phase synchronisation as a neural marker of perceptual awareness. Finally, we describe the work of Varela on time consciousness, his philosophical approach and the implementation of his neurophenomenological framework for its study by integrating subjective reports with neural measures. Citation: Adaptive Behavior PubDate: 2022-04-12T12:45:45Z DOI: 10.1177/10597123221080193
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Authors:Bert H Hodges Abstract: Adaptive Behavior, Ahead of Print. This article offers an exploration of agency and its place in the natural order, one marked by meaning and value. Three examples of agency at different scales—human, bacterial, and thermodynamic—are presented, which reveal insights into the nature of agency itself, while also illustrating the range of phenomena that theoretical accounts need to address. Three approaches to agency are then explored, an enactive approach and two ecological accounts, Reed’s “effort after meaning and value” and ecological values-realizing theory. These approaches are compared from the perspective of ecological values-realizing theory, noting differences and similarities between them. The article is intended to be exploratory, so that the contributions of each of the three accounts can be appreciated, while posing sharp questions and challenges from an ecological values-realizing perspective. Claims considered include: Agency is characteristic of the ecosystem in its entirety, not only in its organismic components. A defining aspect of agency is the possibility of acting in ways that increase freedom and other values. Values function as ecosystem defining constraints. Agency requires hope and responsibility, going beyond goal-achievement toward increasing the integrity of the ecosystem. Agency is marked by interdependence and self-criticism more than autonomy. Living systems create and increase instability. Citation: Adaptive Behavior PubDate: 2022-03-08T04:41:41Z DOI: 10.1177/10597123221076876
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Authors:Tomasz Korbak Abstract: Adaptive Behavior, Ahead of Print. The notion of self-organisation plays a major role in enactive cognitive science. In this paper, I review several formal models of self-organisation that various approaches in modern cognitive science rely upon. I then focus on Rosen’s account of self-organisation as closure to efficient cause and his argument that models of systems closed to efficient cause – (M, R) systems – are uncomputable. Despite being sometimes relied on by enactivists this argument is problematic it rests on assumptions unacceptable for enactivists: that living systems can be modelled as time-invariant and material-independent. I then argue that there exists a simple and philosophically appealing reparametrisation of (M, R)–systems that accounts for the temporal dimensions of life but renders Rosen’s argument invalid. Citation: Adaptive Behavior PubDate: 2022-02-23T05:54:04Z DOI: 10.1177/10597123211066155
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Authors:Marcus M Scheunemann, Christoph Salge, Daniel Polani, Kerstin Dautenhahn Abstract: Adaptive Behavior, Ahead of Print. A challenge in using robots in human-inhabited environments is to design behavior that is engaging, yet robust to the perturbations induced by human interaction. Our idea is to imbue the robot with intrinsic motivation (IM) so that it can handle new situations and appears as a genuine social other to humans and thus be of more interest to a human interaction partner. Human-robot interaction (HRI) experiments mainly focus on scripted or teleoperated robots, that mimic characteristics such as IM to control isolated behavior factors. This article presents a “robotologist” study design that allows comparing autonomously generated behaviors with each other and, for the first time, evaluates the human perception of IM-based generated behavior in robots. We conducted a within-subjects user study (N = 24) where participants interacted with a fully autonomous Sphero BB8 robot with different behavioral regimes: one realizing an adaptive, intrinsically motivated behavior and the other being reactive, but not adaptive. The robot and its behaviors are intentionally kept minimal to concentrate on the effect induced by IM. A quantitative analysis of post-interaction questionnaires showed a significantly higher perception of the dimension “Warmth” compared to the reactive baseline behavior. Warmth is considered a primary dimension for social attitude formation in human social cognition. A human perceived as warm (friendly, trustworthy) experiences more positive social interactions. Citation: Adaptive Behavior PubDate: 2022-02-23T05:41:23Z DOI: 10.1177/10597123211066153
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Authors:Freddy J Molero-Ramírez, Ruy L Carro-Godoy Abstract: Adaptive Behavior, Ahead of Print. The holobiont mind is a recent theory in the movement of 4E cognition grounded in gut‐brain axis (GBA) research. The theory claims that the mind is an emergent property which arises from the multi-genomic morphology of a composite animal agent, in ever-changing interactions with its ecological niche. We claim that the theory is unnecessary since GBA findings can be easily accommodated by previous and broader concepts like embodiment, enaction, and the extensive mind theory without making the picture more complex than it is. Citation: Adaptive Behavior PubDate: 2022-02-08T03:37:13Z DOI: 10.1177/10597123211073534
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Authors:Leonardo Bich, William Bechtel Abstract: Adaptive Behavior, Ahead of Print. Living organisms act as integrated wholes to maintain themselves. Individual actions can each be explained by characterizing the mechanisms that perform the activity. But these alone do not explain how various activities are coordinated and performed versatilely. We argue that this depends on a specific type of mechanism, a control mechanism. We develop an account of control by examining several extensively studied control mechanisms operative in the bacterium E. coli. On our analysis, what distinguishes a control mechanism from other mechanisms is that it relies on measuring one or more variables, which results in setting constraints in the control mechanism that determine its action on flexible constraints in other mechanisms. In the most basic arrangement, the measurement process directly determines the action of the control mechanism, but in more complex arrangements signals mediate between measurements and effectors. This opens the possibility of multiple responses to the same measurement and responses based on multiple measurements. It also allows crosstalk, resulting in networks of control mechanisms. Such networks integrate the behaviors of the organism but also present a challenge in tailoring responses to particular measurements. We discuss how integrated activity can still result in differential, versatile, responses. Citation: Adaptive Behavior PubDate: 2022-01-27T08:36:17Z DOI: 10.1177/10597123221074429