ArgumentWe examine the criteria used to validate the use of nonhuman organisms in North-American alcohol addiction research from the 1950s to the present day. We argue that this field, where the similarities between behaviors in humans and non-humans are particularly difficult to assess, has addressed questions of model validity by transforming the situatedness of non-human organisms into an experimental tool. We demonstrate that model validity does not hinge on the standardization of one type of organism in isolation, as often (...) the case with genetic model organisms. Rather, organisms are viewed as necessarily situated: they cannot be understood as a model for human behavior in isolation from their environmental conditions. Hence the environment itself is standardized as part of the modeling process; and model validity is assessed with reference to the environmental conditions under which organisms are studied. (shrink)

This commentary emphasizes two problem areas mentioned by Burt. First, that within-family designs do not eradicate stratification confounds. Second, that the linear/additive model of genetic causes of form and variation is not supported by recent progress in molecular biology. It concludes with an appeal for a (biologically and psychologically) more realistic model of such causes.

We try not just to reconcile but to “integrate” Cognitivism and Behaviorism by a theory of different forms of purposiveness in behavior and mind. This also implies a criticism of the Dual System theory and a claim on the strong interaction and integration of Sist1 (automatic) and Sist2 (deliberative), based on reasons, preferences, and decisions. We present a theory of different kinds of teleology. Mere “functions” of the behavior: finalism not represented in the mind of the agent, not (...) “regulating” the behavior. Two kinds of teleological mental representations: true “Goals” in control-theory, cybernetic view, with “goal-driven” behavior (intentional action); vs. Expectations in Anticipatory Classifiers: a reactive but anticipatory device, explaining the “instrumental” (finalistic) nature of Skinner’s reinforcement learning. We present different kinds of Goals and goal processing and on this ground the theory of what “intentions” are. On such basis, we can discuss Kathy Wilkes’s hint about the necessarily linguistic formulation of “intentions”; with the hypothesis that her intuition is not correct for any kind on “intention” which may be represented in sensory-motor format, but correct for “volition” and our will-strength for socially influencing ourselves. (shrink)

We present a two-pronged criticism of Ramos's argument. Our main contention is that the logic of the author’s argument is flawed. As we demonstrate, the author conflates probability with necessity, in addition to conflating free will having causal efficacy with the merely illusory conscious experience of free will; such conflations undermine the claim that individual free will should be both exhibited on a social scale and necessarily cause a particular organized pattern to emerge. In addition, we will show that the (...) author makes a series of inadequately supported assertions concerning the relationship between, and degree of scholarly consensus upon, causally effective free will and mind-body interactionist dualism, which further undermine his argument. (shrink)

ABSTRACTWhile Spinoza stipulates an ideal moral person in the propositions on the ‘free man’ in Ethics IV, this account does not seem to be intended to function as a pedagogical tool of political relevance. Hence, it does not seem to correspond to the purpose of moral exemplarism. If we look for that kind of practical guidance, Spinoza’s political works seem more relevant. Interestingly, when we approach Spinoza’s political theory with moral exemplarism in mind, we find that instead of constructing his (...) exemplar on the idea of a supremely moral person, he emphasizes the concept of ingenium to chisel out an imperfect model of human behavior. We argue that the purpose of this is to avoid a utopian and inefficient political theory and to work out a moral practice that is capable of assisting people and communities in ethical self-transformation. (shrink)

An evolutionary model of human behavior should privilege emotions: essential, phylogenetically ancient behaviors that learning and decision making only subserve. Infants and non-mammals lack advanced cognitive powers but still survive. Decision making is only a means to emotional ends, which organize and prioritize behavior. The emotion of pride/shame, or dominance striving, bridges the social and biological sciences via internalization of cultural norms. (Published Online April 27 2007).

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Studying Human Behavior: How Scientists Investigate Aggression and Sexuality by Helen LonginoRebecca KuklaReview: Helen Longino, Studying Human Behavior: How Scientists Investigate Aggression and Sexuality, University of Chicago Press, 2013In Studying Human Behavior: How Scientists Investigate Aggression and Sexuality, Helen Longino meticulously examines a wide variety of research programs devoted to studying human behavior, specifically aggression and sexual orientation. She teases (...) apart the methodologies of the various approaches, examining their epistemic structure, the assumptions they must hold fixed, the research questions they enable and those they necessarily occlude, their underlying ontologies, the interests that motivate them, the ideological investments they help buttress, and the practical and political uses they serve. By the end of the book she has made clear that the so-called ‘nature-nurture’ debates invoke a hopelessly simplistic and distorting dualism when it comes to any interesting question about the etiology of a behavior. This is a readable, informative, rigorous, and elegantly organized new work from a leading scholar who has had a major hand in turning the interplay among science, ethics, and social interests into a topic of rigorous philosophical study.In the first part of the book, Longino devotes a chapter or substantial section to each major methodological approach to studying aggression and sexual orientation, including (using her labels): quantitative behavioral genetics, social-environmental approaches, molecular behavioral genetics, neurobiological approaches, and several ‘integrative’ approaches (such as developmental systems theory) that focus on the interactions and dynamics between causal factors over time rather than trying to isolate one causal contribution. She also briefly discusses human ecology, which takes the unit of study to be the behavior of a population, studied in its material environment, rather than the behavior of an individual.Longino shows elegantly how each of these research programs is equipped to reveal certain specific kinds of truths about behavior, while making other important dimensions of the phenomena invisible. Many of her examples are technical and detailed, but I can recap a few relatively simple and powerful examples: (1) Behavioral researchers have no shared understanding of what an ‘environment’ is or which features of it we need [End Page E-97] to measure. Whatever operationalization of ‘environment’ is used within a study or set of studies, this operationalization is not itself scientifically validated, but merely presupposed (33). Thus how much of a behavior shows up in a study as due to the ‘environment’ depends on just what we measure. On the behavioral genetic approach this will include everything other than genes, but on, say, the neurobiological approach this will be everything other than neural structure. But these are quite different senses of ‘environment’ with different scopes, and there’s no good reason to think they are easily commensurable. (2) ‘GxExN’ researchers use techniques to study the etiology of behavior that were developed expressly for studying disorders (112). This work thus presupposes that we can understand whatever behavior is under study on the disorder model, and will yield no well-formed results to the extent that this model does not fit. But it is at best non-obvious that a disorder model is unproblematic when it comes to aggression or—especially!—sexual orientation. (3) Most of the research programs Longino covers treat the behaving individual as the unit of analysis and study, as opposed to, for example, human ecologists’ focus on whole populations. But as she demonstrates, this affects what kinds of causes we can study, because patterns at the population level may not be detectable using the kinds of measures that can be manipulated at the individual level. Furthermore, some kinds of behaviors may require more than one participant to exist at all; for instance, the very same thing that counts as an aggressive act within one interaction may be a peaceful act in another (175).Longino does a lovely job of showing what sorts of social interests are served and buttressed by which kinds of research. For example, social-environmental approaches will, in virtue of their methodology, focus on social factors that are manipulable, and this makes them particularly amenable to generating suggestions for social interventions. Such research thus better serves the ends of those who are looking to implement... (shrink)

According to socio-relational theory, men and women encountered different ecologies in their evolutionary past, and, as a result of different ancestral selection pressures, they developed different patterns of emotional expressivity that have persisted across cultures and large human evolutionary time scales. We question these assumptions, and propose that social-cognitive models of individual differences more parsimoniously account for sex differences in emotional expressivity.

(2013). Distributed intentionality: A model of intentional behavior in humans. Philosophical Psychology: Vol. 26, No. 2, pp. 267-290. doi: 10.1080/09515089.2011.641743.

Human beings persist in an extraordinary range of ecological settings, in the process exhibiting enormous behavioural diversity, both within and between populations. People vary in their social, mating and parental behaviour and have diverse and elaborate beliefs, traditions, norms and institutions. The aim of this theme issue is to ask whether, and how, evolutionary theory can help us to understand this diversity. In this introductory article, we provide a background to the debate surrounding how best to understand behavioural diversity (...) using evolutionary models of human behaviour. In particular, we examine how diversity has been viewed by the main subdisciplines within the human evolutionary behavioural sciences, focusing in particular on the human behavioural ecology, evolutionary psychology and cultural evolution approaches. In addition to differences in focus and methodology, these subdisciplines have traditionally varied in the emphasis placed on human universals, ecological factors and socially learned behaviour, and on how they have addressed the issue of genetic variation. We reaffirm that evolutionary theory provides an essential framework for understanding behavioural diversity within and between human populations, but argue that greater integration between the subfields is critical to developing a satisfactory understanding of diversity. (shrink)

Originally published in 1967. This reprints the second edition of 1973, revised and expanded. Evolution and Human Behaviour considers man’s biological and cultural development within the framework of Darwinian evolution. Rejecting analogue models of biological evolution common in the social sciences, the author shows how the theory of biological evolution applies to the study of contemporary human behaviour.

If the concept of “free will” is reduced to that of “choice” all physical world shares the latter quality. Anyway the “free will” can be distinguished from the “choice”: The “free will” involves implicitly a certain goal, and the choice is only the mean, by which the aim can be achieved or not by the one who determines the target. Thus, for example, an electron has always a choice but not free will unlike a human possessing both. Consequently, and (...) paradoxically, the determinism of classical physics is more subjective and more anthropomorphic than the indeterminism of quantum mechanics for the former presupposes certain deterministic goal implicitly following the model of human freewill behavior. Quantum mechanics introduces the choice in the fundament of physical world involving a generalized case of choice, which can be called “subjectless”: There is certain choice, which originates from the transition of the future into the past. Thus that kind of choice is shared of all existing and does not need any subject: It can be considered as a low of nature. There are a few theorems in quantum mechanics directly relevant to the topic: two of them are called “free will theorems” by their authors (Conway and Kochen 2006; 2009). Any quantum system either a human or an electron or whatever else has always a choice: Its behavior is not predetermined by its past. This is a physical law. It implies that a form of information, the quantum information underlies all existing for the unit of the quantity of information is an elementary choice: either a bit or a quantum bit (qubit). (shrink)

This article presents a model of the production of human behaviour, grounded in a pragmatist perspective. The model has two components: a small set of considered behaviours, and a set of motivators which I group into four subsets: material, reproductive, and two sets of attributional motivators. The model is based on a minimum principle. A person performs that considered behaviour which comes closest to ideal in light of the person's motivators. I show that both declining marginal utility and satisfying (...) follow as deductions from the model. In addition, especially with the inclusion of attributional motivators, the model accounts for a variety of findings in social science. I also show how it can generate theory and testable empirical predictions. (shrink)

One might be inclined to assume, given the mouse donning its cover, that the behavior of interest in Nicole Nelson's book Model Behavior (2018) is that of organisms like mice that are widely used as “stand-ins” for investigating the causes of human behavior. Instead, Nelson's ethnographic study focuses on the strategies adopted by a community of rodent behavioral researchers to identify and respond to epistemic challenges they face in using mice as models to understand the (...) causes of disordered human behaviors associated with mental illness. Although Nelson never explicitly describes the knowledge production activities in which her behavioral geneticist research subjects engage as “exemplary”, the question of whether or not these activities constitute “model behavior(s)”—generalizable norms for engaging in scientific research—is one of the many thought-provoking questions raised by her book. As a philosopher of science interested in this question, I take it up here. (shrink)

Niche construction is a potentially important concept for the human behavioural sciences but we question how it differs from models of gene-culture coevolution and whether it can be developed in the detailed ways that will be necessary if it is going to make a significant contribution to the human behavioural sciences.

Over the arc of his career, E. O. Wilson first embraced, then popularized, and finally rejected an extreme genetical hereditarian view of human nature. The controversy that ensued during the period of popularization (largely in the 1970s and 1980s) obscured the fact that empirical and theoretical research during this time undercut the assumptions necessary for this view. By the end of his career, Wilson accepted the fact that individual/kin selection models were insufficient to explain human behavior (...) and society, and he began conducting research based upon multilevel (group) selection, an idea he had previously scorned. (shrink)

This study examines the use of a modified form of the theory of planned behavior in understanding the decisions of undergraduate students in engineering and humanities to engage in cheating. We surveyed 527 randomly selected students from three academic institutions. Results supported the use of the model in predicting ethical decision-making regarding cheating. In particular, the model demonstrated how certain variables (gender, discipline, high school cheating, education level, international student status, participation in Greek organizations or other clubs) and moral (...) constructs related to intention to cheat, attitudes toward cheating, perceptions of norms with respect to cheating, and ultimately cheating behaviors. Further the relative importance of the theory of planned behavior constructs was consistent regardless of context, whereas the contributions of variables included in the study that were outside the theory varied by context. Of particular note were findings suggesting that the extent of cheating in high school was a strong predictor of cheating in college and that engineering students reported cheating more frequently than students in the humanities, even when controlling for the number of opportunities to do so. (shrink)

Quantum cognition is an emerging field making uses of quantum theory to model cognitive phenomena which cannot be explained by classical theories. Usually, in cognitive tests, subjects are asked to give a response to a question, but, in this paper, we just observed the subjects’ behaviour and the question and answer method was not applied in order to prevent any mental background on participants’ minds. Finally, we examined the experimental data on Hardy’s non-locality argument, and we noticed the violation of (...) HNA in human behaviour. (shrink)

The present study develops an artificial agent that plays the iterative chicken game based on a computational model that describes human behavior in competitive social interactions in terms of fairness. The computational model we adopted in this study, named as the self-concept fairness model, decides the agent’s action according to the evaluation of fairness of both opponent and self. We implemented the artificial agent in a computer program with a set of parameters adjustable by researchers. These parameters allow (...) researchers to determine the extent to which the agent behaves aggressively or cooperatively. To demonstrate the use of the proposed method for the investigation of human behavior, we performed an experiment in which human participants played the iterative chicken game against the artificial agent. Participants were divided into two groups, each being informed to play with either a person or the computer. The behavioral analysis results showed that the proposed method can induce changes in the behavioral pattern of human players by changing the agent’s behavioral pattern. Also, we found that participants tended to be more sensitive to fairness when they played with a human opponent than with a computer opponent. These results support that the artificial agent developed in this study will be useful to investigate human behavior in competitive social interactions. (shrink)

Persons have a curious dual nature. On the one hand, they are subjects, whose actions must be explained in terms of beliefs, desires, plans, and goals. At the same time, however, they also are physical objects, whose actions must be explicable in terms of physical laws. So far no satisfying account of this duality has been offered. Both Cartesian dualism and the modern materialist alternatives (reductionist and antireductionist) have failed to capture the full range of our experience of persons. I (...) argue that an exciting new approach to this difficulty can be found by considering developments in clinical psychology. The clinical debate between those endorsing biological models of mental illness and those endorsing psychodynamic models mirrors broader debates in the philosophy of mind. The possible resolution of this debate through the development of integrated psychobiological models suggests a promising way to reconcile the dual nature of persons in a far more appealing way than any yet proposed. (shrink)

This volume brings together contributions from leading researchers in the field of agent-based modelling and simulation. This approach has grown out of some recent and innovative ideas in the social sciences, computer sciences, life sciences, physics and game theory. It is proving helpful in understanding complexity in many domains. The opportunities it offers to explore the experimental approach to social and human behaviour is proving of theoretical and empirical value across a wide range of fields. With contributions from researchers (...) whose work has served to define this new field such as Nigel Gilbert, Robert Axtell (in economics and social science) and Jacques Ferber (in multi-agent systems), as well as practitioners who are working at the cutting edge of the new domain, this collection of essays has been assembled by two of its leading exponents: Frédéric Amblard and Denis Phan. The research, case studies and theoretical approaches discussed in this book are designed to introduce beginners and experts alike to the current state of play in this new and exciting field of social science. (shrink)

This study aims to examine the underlying mechanism of the relationship between perceived green human resource management and perceived employee green behavior. By drawing on attitude and social exchange theories, we examined green commitment as a mediator and green knowledge sharing as a moderator of the GHRM–EGB relationship. The study employs partial least square structural equation modeling to analyze 329 responses. Data were collected in two time lags. The empirical results confirmed that GC mediates the relationship between GHRM (...) and EGB. However, the study results found that GKS moderated the indirect influence of GHRM on green behavior via GC. This research signifies the effect of GHRM, GKS, GC, and green behavior on organizations’ sustainability and environmental management. Despite the emerging literature on the significance of green practices in organizations for environmental management, no study has examined the moderating role of GKS on the indirect effect of GHRM on green behavior via mediating role of GC. This study offers valuable insight into environmental management in organizations through green practices and green behavior. (shrink)

This paper discusses problems associated with the use of optimality models in human behavioral ecology. Optimality models are used in both human and non-human animal behavioral ecology to test hypotheses about the conditions generating and maintaining behavioral strategies in populations via natural selection. The way optimality models are currently used in behavioral ecology faces significant problems, which are exacerbated by employing the so-called ‘phenotypic gambit’: that is, the bet that the psychological and inheritance mechanisms (...) responsible for behavioral strategies will be straightforward. I argue that each of several different possible ways we might interpret how optimality models are being used for humans face similar and additional problems. I suggest some ways in which human behavioral ecologists might adjust how they employ optimality models; in particular, I urge the abandonment of the phenotypic gambit in the human case. (shrink)

The potential role of locus equations in three existing models of human classification behavior is examined. Locus equations can play a useful role in single-prototype and boundary-based models for human consonant recognition by reducing model complexity.

Processes comparable in important respects to those underlying human conscious and non-conscious processing can be identified in a range of species and it is argued that these reflect evolutionary precursors of the human processes. A distinction is drawn between two types of processing: stimulus-based and higher-order. For ‘higher-order,’ in humans the operations of processing are themselves associated with conscious awareness. Conscious awareness sets the context for stimulus-based processing and its end-point is accessible to conscious awareness. However, the mechanics (...) of the translation between stimulus and response proceeds without conscious control. The paper argues that higher-order processing is an evolutionary addition to stimulus-based processing. The model’s value is shown for gaining insight into a range of phenomena and their link with consciousness. These include brain damage, learning, memory, development, vision, emotion, motor control, reasoning, the voluntary versus involuntary debate, and mental disorder. (shrink)

Cognitive modeling of human behavior has advanced the understanding of underlying processes in several domains of psychology and cognitive science. In this article, we outline how we expect cognitive modeling to improve comprehension of individual cognitive processes in human-agent interaction and, particularly, human-robot interaction (HRI). We argue that cognitive models offer advantages compared to data-analytical models, specifically for research questions with expressed interest in theories of cognitive functions. However, the implementation of cognitive models (...) is arguably more complex than common statistical procedures. Additionally, cognitive modeling paradigms typically have an explicit commitment to an underlying computational theory. We propose a conceptual framework for designing cognitive models that aims to identify whether the use of cognitive modeling is applicable to a given research question. The framework consists of five external and internal aspects related to the modeling process: research question, level of analysis, modeling paradigms, computational properties, and iterative model development. In addition to deriving our framework from a concise literature analysis, we discuss challenges and potentials of cognitive modeling. We expect cognitive models to leverage personalized human behavior prediction, agent behavior generation, and interaction pretraining as well as adaptation, which we outline with application examples from personalized HRI. (shrink)

For most observers of economics from both inside and outside the science, the term ‘economics’ is synonymous with neoclassical economics. It is the methodology of neoclassical economics that defines the discipline of economics. ‘Mainstream economics’ is neoclassical economics and anyone entering the discipline today who wishes to obtain an appointment at one of the leading universities of the world is well advised to master its techniques. The fact that virtually every winner of a Nobel prize from Paul Samuelson up to (...) his student Joseph Stiglitz has been a practitioner of neoclassical economics is ample proof of the methodology’s triumph. Despite the dominance of this methodology, however, neoclassical economics has been subject to a steady stream of criticisms and proposals for alternative methodological approaches throughout its life. This article focuses on two relatively recent challenges to the neoclassical orthodoxy that seem to have taken hold of a non-negligible minority of the profession, some of whom can be found at leading universities. These two challenges come from behavioural economics and evolutionary economics. The article describes the strengths and weaknesses of both of these methodological approaches and contrasts them with that of neoclassical economics. It concludes that all three methodologies have something positive to contribute to the study of human behaviour. Key Words: neoclassical economics • behavioural economics • evolutionary economics. (shrink)

The mesostriatal dopamine system is prominently implicated in model-free reinforcement learning, with fMRI BOLD signals in ventral striatum notably covarying with model-free prediction errors. However, latent learning and devaluation studies show that behavior also shows hallmarks of model-based planning, and the interaction between model-based and model-free values, prediction errors, and preferences is underexplored. We designed a multistep decision task in which model-based and model-free influences on human choice behavior could be distinguished. By showing that choices reflected both (...) influences we could then test the purity of the ventral striatal BOLD signal as a model-free report. Contrary to expectations, the signal reflected both model-free and model-based predictions in proportions matching those that best explained choice behavior. These results challenge the notion of a separate model-free learner and suggest a more integrated computational architecture for high-level human decision-making. (shrink)

This study puts forward a rounder conceptual model for interpreting short and long-term effects of choice behavior. Kahneman’s (2011) distinction between cognitive processing System 1 and System 2 reflect the more rigorous distinction between Brief and Immediate and Extended and Elaborated Relational Responding. Specifically, we provide theoretical accounts and applied examples of how nudging, or the manipulation of environmental contingencies, works on the creation and modification of relational frames. The subset denominated educational nudges, or boosts, are particularly useful towards (...) their maintenance. We define and illustrate the fundamental mediating role of verbal behavior towards formulating rules, which inform and guide choice behavior over time. Furthermore, we suggest adopting the Implicit Relations Association Procedure to inform how coherent and immediate responding to new relational frames may be, whenever choices need be made. We provide empirical accounts of consumer behavior, stereotypy and prejudices, eating behavior, and overcoming cognitive biases. The conclusions depict a promising way forward towards an improved model for interpreting and overcoming human errors thanks to changes in the contingencies of choice behavior. (shrink)

It is essential for social robots to fit in the human society. In order to facilitate this process we propose to use the family dog’s social behaviour shown towards humans as an inspiration. In this study we explored dogs’ low level social monitoring in dog-human interactions and extracted individually consistent and context dependent behaviours in simple everyday social scenarios. We found that proximity seeking and tail wagging were most individually distinctive in dogs, while activity, orientation towards the owner, (...) and exploration were dependent on the context and/or the activity of the owner. The functional analogues of these dog behaviours can be implemented in social robots of different embodiments in order to make them acceptable and more believable for humans. Keywords: dog-owner interaction; social robotics; low-level social monitoring; greeting behaviour; individually distinctive behaviours. (shrink)

Building on and partially refining previous theoretical work, this paper presents an extended simulation model of ancestral warfare. This model (1) disentangles attack and defense, (2) tries to differentiate more strictly between selfish and altruistic efforts during war, (3) incorporates risk aversion and deterrence, and (4) pays special attention to the role of brutality. Modeling refinements and simulation results yield a differentiated picture of possible evolutionary dynamics. The main observations are: (i) Altruism in this model is more likely to evolve (...) for defenses than for attacks. (ii) Risk aversion, deterrence and the interplay of migration levels and brutality can change evolutionary dynamics substantially. (iii) Unexpectedly, one occasional simulation outcome is a dynamically stable state of ‘tolerated intergroup theft’, raising the question if corresponding patterns also exist in real intergroup conflicts. Finally, possible implications for theories of the co-evolution of bellicosity and altruism in humans are discussed. (shrink)

It is essential for social robots to fit in the human society. In order to facilitate this process we propose to use the family dog’s social behaviour shown towards humans as an inspiration. In this study we explored dogs’ low level social monitoring in dog-human interactions and extracted individually consistent and context dependent behaviours in simple everyday social scenarios. We found that proximity seeking and tail wagging were most individually distinctive in dogs, while activity, orientation towards the owner, (...) and exploration were dependent on the context and/or the activity of the owner. The functional analogues of these dog behaviours can be implemented in social robots of different embodiments in order to make them acceptable and more believable for humans. Keywords: dog-owner interaction; social robotics; low-level social monitoring; greeting behaviour; individually distinctive behaviours. (shrink)

The phenomenon of corruption as a type of crime is immanently inherent in social and political reality. Sociality as a trans-societal universal form of human community is the environment in which corruption ties are born and function. The socio-political structure is organized as a collective effort, on the one hand, it overcomes disintegration, and on the other, it generates corrupt behaviour patterns. Corruption models of behaviour have an extremely wide scale of distribution and are characterized by active institutional (...) expansion into various spheres and institutions of modern society, they feed business relations and administrative activities, covering huge masses of the population. In this sense, their study is extremely important and relevant. (shrink)

Borrowing from evolutionary biology, existentialism, developmental psychology, and social learning theory, an integrated model of human behavior is applied to several forms of self-destructive behavior, to include anorexia nervosa, suicide, substance abuse, and pathological gambling. It is argued that self-destructive behavior is a function of how the individual psychologically construes survival and copes with perceptions of isolation and separation from the environment. The paradox of self-destructive behavior in organisms motivated by self-preservation is resolved by taking (...) note of the fact that self-destruction stems from peopleís efforts to survive psychologically and resolve the subjectóobject duality, even when this places their physical well-being in jeopardy. (shrink)

Despite the success of artificial intelligence, we are still far away from AI that model the world as humans do. This study focuses for explaining human behavior from intuitive mental models’ perspectives. We describe how behavior arises in biological systems and how the better understanding of this biological system can lead to advances in the development of human-like AI. Human can build intuitive models from physical, social, and cultural situations. In addition, we follow (...) Bayesian inference to combine intuitive models and new information to make decisions. We should build similar intuitive models and Bayesian algorithms for the new AI. We suggest that the probability calculation in Bayesian sense is sensitive to semantic properties of the objects’ combination formed by observation and prior experience. We call this brain process as computational meaningfulness and it is closer to the Bayesian ideal, when the occurrence of probabilities of these objects are believable. How does the human brain form models of the world and apply these models in its behavior? We outline the answers from three perspectives. First, intuitive models support an individual to use information meaningful ways in a current context. Second, neuroeconomics proposes that the valuation network in the brain has essential role in human decision making. It combines psychological, economical, and neuroscientific approaches to reveal the biological mechanisms by which decisions are made. Then, the brain is an over-parameterized modeling organ and produces optimal behavior in a complex word. Finally, a progress in data analysis techniques in AI has allowed us to decipher how the human brain valuates different options in complex situations. By combining big datasets with machine learning models, it is possible to gain insight from complex neural data beyond what was possible before. We describe these solutions by reviewing the current research from this perspective. In this study, we outline the basic aspects for human-like AI and we discuss on how science can benefit from AI. The better we understand human’s brain mechanisms, the better we can apply this understanding for building new AI. Both development of AI and understanding of human behavior go hand in hand. (shrink)

Tomasello et al. argue that the “small difference that made a big difference” in the evolution of the human mind was the disposition to share intentions. Chimpanzees are said to understand certain mental states (like intentions), but not share them. We argue that an alternative model is better supported by the data: the capacity to represent mental states (and other unobservable phenomena) is a human specialization that co-evolved with natural language.

Humans can attribute beliefs to others. However, it is unknown to what extent this ability results from an innate biological endowment or from experience accrued through child development, particularly exposure to language describing others' mental states. We test the viability of the language exposure hypothesis by assessing whether models exposed to large quantities of human language display sensitivity to the implied knowledge states of characters in written passages. In pre‐registered analyses, we present a linguistic version of the False (...) Belief Task to both human participants and a large language model, GPT‐3. Both are sensitive to others' beliefs, but while the language model significantly exceeds chance behavior, it does not perform as well as the humans nor does it explain the full extent of their behavior—despite being exposed to more language than a human would in a lifetime. This suggests that while statistical learning from language exposure may in part explain how humans develop the ability to reason about the mental states of others, other mechanisms are also responsible. (shrink)