Psychoanalysis in a changing world

The author reflects, in this opening speech of the IPA Berlin Congress, on some changes in the world, in Germany and in psychoanalysis in the 85 years that have elapsed since the previous congress in Berlin, in 1922. He emphasizes important developments in psychoanalytic theory and practice, research and applications to understand several wider realms. He also stresses the importance of psychoanalysis for the current discussion on the transgenerational effects of traumatic events, and connects all these aspects with the theme of the Congress-remembering, repeating and working through.     

Changing minds in a changing world

I defend a general rule for updating beliefs that takes into account both the impact of new evidence and changes in the subject??s location. The rule combines standard conditioning with a ??shifting?? operation that moves the center of each doxastic possibility forward to the next point where information arrives. I show that well-known arguments for conditioning lead to this combination when centered information is taken into account. I also discuss how my proposal relates to other recent proposals, what results it delivers for puzzles like the Sleeping Beauty problem, and whether there are diachronic constraints on rational belief at all.     

Psychotherapy training in a changing world: A Swedish perspective

The City and Hackney Primary Care Psychotherapy Consultation Service is an innovative, public sector service designed to support GPs in meeting the needs of patients with complex psychological/physical health issues throughout the London Boroughs of Hackney and the City. This paper provides an account of how this new model for the National Health Service (NHS) developed in the context of psychotherapy provision within the NHS, within the national and local context in the UK and gives an overview of some the service's key features and how it differs from other services operating in primary and secondary care. A linked paper, in this journal, explores the reality within which the service functions and describes clinical outcomes, health economic data, the modifications to the original model and prospects for the future.     

Organizational media choice in performance feedback: a multifaceted approach

This study was designed to examine media choice in performance feedback, an organizational communication process that has been overlooked in the literature. Specifically, we adopted a multifaceted approach and examined how contextual variables in feedback, variables identified from media choice theories, and individual differences in media perception influenced selection of a medium to communicate performance information. A policy‐capturing survey was administered to 178 full‐time employees in Hong Kong. Participants read feedback scenarios and provided media preference ratings of face‐to‐face, telephone, electronic mail, and written communication. Results showed that the three facets jointly influenced media choice. Given that communication quality is partly determined by the medium selected, the present work sheds light on the understanding of initiation process in performance feedback.     

Bayesian theories of conditioning in a changing world

The recent flowering of Bayesian approaches invites the re-examination of classic issues in behavior, even in areas as venerable as Pavlovian conditioning. A statistical account can offer a new, principled interpretation of behavior, and previous experiments and theories can inform many unexplored aspects of the Bayesian enterprise. Here we consider one such issue: the finding that surprising events provoke animals to learn faster. We suggest that, in a statistical account of conditioning, surprise signals change and therefore uncertainty and the need for new learning. We discuss inference in a world that changes and show how experimental results involving surprise can be interpreted from this perspective, and also how, thus understood, these phenomena help constrain statistical theories of animal and human learning.     

Probability matching in risky choice: The interplay of feedback and strategy availability

Probability matching in sequential decision making is a striking violation of rational choice that has been observed in hundreds of experiments. Recent studies have demonstrated that matching persists even in described tasks in which all the information required for identifying a superior alternative strategy—maximizing—is present before the first choice is made. These studies have also indicated that maximizing increases when (1)?the asymmetry in the availability of matching and maximizing strategies is reduced and (2)?normatively irrelevant outcome feedback is provided. In the two experiments reported here, we examined the joint influences of these factors, revealing that strategy availability and outcome feedback operate on different time courses. Both behavioral and modeling results showed that while availability of the maximizing strategy increases the choice of maximizing early during the task, feedback appears to act more slowly to erode misconceptions about the task and to reinforce optimal responding. The results illuminate the interplay between “top-down” identification of choice strategies and “bottom-up” discovery of those strategies via feedback.     

The dynamics of world concordance

All human beings are similarly actuated by three fundamental (Ur) conations: Ur I, for physical vitality and longevity; UR II, for interpersonal securities; and Ur III, for existential faiths. All languages express a need for social communications, rendering possible meaningful transcultural messages for friendly collaboration toward mutual Ur-attainments. All mankind as a single species (homo-habilis — the user and misuser of tools) is slowly evolving toward the status of homo sapiens — man the wise.Condensed from an address to the Eghth World Congress of Psychiatry, Athens, Greece, October, 1989.     

Posterior cingulate cortex: adapting behavior to a changing world

When has the world changed enough to warrant a new approach? The answer depends on current needs, behavioral flexibility and prior knowledge about the environment. Formal approaches solve the problem by integrating the recent history of rewards, errors, uncertainty and context via Bayesian inference to detect changes in the world and alter behavioral policy. Neuronal activity in posterior cingulate cortex - a key node in the default network - is known to vary with learning, memory, reward and task engagement. We propose that these modulations reflect the underlying process of change detection and motivate subsequent shifts in behavior.     

Attachment dynamics in a virtual world

The study investigated the transfer of attachment working models onto autonomous agents in a virtual social environment (VSE). Participants from a community sample (N = 422; mean age = 29 years; mean relationship duration = 4.8 years) encountered three attachment‐related key scenes in a VSE: a separation with a subsequent reunion, a conflict, and an illness. In these scenarios, participants gave instructions to the main character (the “protagonist”), who had a romantic relationship with one of the other agents (the “virtual spouse”). Recorded were numerous behaviors as well as emotions participants ascribed to the protagonist. Generally, participants' attachment styles correlated as predicted with their behavior toward the virtual spouse, with βs up to.42. Thus, the study demonstrates that internal working models are transferred to the virtual relationship. This approach opens new ways to investigate attachment‐related behavior by using VSEs that allow experimental variations of the virtual partner's reactions and other situational variables.     

The response dynamics of preferential choice

The ubiquity of psychological process models requires an increased degree of sophistication in the methods and metrics that we use to evaluate them. We contribute to this venture by capitalizing on recent work in cognitive science analyzing response dynamics, which shows that the bearing information processing dynamics have on intended action is also revealed in the motor system. This decidedly “embodied” view suggests that researchers are missing out on potential dependent variables with which to evaluate their models—those associated with the motor response that produces a choice. The current work develops a method for collecting and analyzing such data in the domain of decision making. We first validate this method using widely normed stimuli from the International Affective Picture System (Experiment 1), and demonstrate that curvature in response trajectories provides a metric of the competition between choice options. We next extend the method to risky decision making (Experiment 2) and develop predictions for three popular classes of process model. The data provided by response dynamics demonstrate that choices contrary to the maxim of risk seeking in losses and risk aversion in gains may be the product of at least one “online” preference reversal, and can thus begin to discriminate amongst the candidate models. Finally, we incorporate attentional data collected via eye-tracking (Experiment 3) to develop a formal computational model of joint information sampling and preference accumulation. In sum, we validate response dynamics for use in preferential choice tasks and demonstrate the unique conclusions afforded by response dynamics over and above traditional methods.     

The effects of a local negative feedback function between choice and relative reinforcer rate

Four pigeons were trained on two-key concurrent variable-interval schedules with no changeover delay. In Phase 1, relative reinforcers on the two alternatives were varied over five conditions from .1 to .9. In Phases 2 and 3, we instituted a molar feedback function between relative choice in an interreinforcer interval and the probability of reinforcers on the two keys ending the next interreinforcer interval. The feedback function was linear, and was negatively sloped so that more extreme choice in an interreinforcer interval made it more likely that a reinforcer would be available on the other key at the end of the next interval. The slope of the feedback function was -1 in Phase 2 and -3 in Phase 3. We varied relative reinforcers in each of these phases by changing the intercept of the feedback function. Little effect of the feedback functions was discernible at the local (interreinforcer interval) level, but choice measured at an extended level across sessions was strongly and significantly decreased by increasing the negative slope of the feedback function.     

Presidential address: Lessons from infancy: New beginnings in a changing world and a morality for health

Health care professionals working in infancy are optimistic about its development and its incentives for moral connectedness. Recent research shows that such an attitude is grounded in what I summarize under the headings of “fundamental modes of development” and a “basic morality,” features that characterize infancy when there is adequate support from an emotionally available caregiver. Early moral attainments include the infant's developing sense of rules, reciprocity, empathy, and internalized standards. Social referencing, negotiation, and the use of guidance are important processes in late infancy that occur in the context of interpersonal and intrapsychic conflict. Infancy experiences guided by these processes later become a basis for the preschooler's sharing, negotiation, and sense of fairness. These considerations provide lessons for thinking about health as a positive state. They also highlight the importance of positive emotions and shared meaning as we work to prevent and treat developmental problems. We have much to learn from infants and each other, especially as we continue our cross-cultural collaboration and research.     

The dynamics of choice among multiple alternatives

We consider neurally based models for decision-making in the presence of noisy incoming data. The two-alternative forced-choice task has been extensively studied, and in that case it is known that mutually inhibited leaky integrators in which leakage and inhibition balance can closely approximate a drift-diffusion process that is the continuum limit of the optimal sequential probability ratio test (SPRT). Here we study the performance of neural integrators in n?2 alternative choice tasks and relate them to a multihypothesis sequential probability ratio test (MSPRT) that is asymptotically optimal in the limit of vanishing error rates. While a simple race model can implement this ‘max-vs-next’ MSPRT, it requires an additional computational layer, while absolute threshold crossing tests do not require such a layer. Race models with absolute thresholds perform relatively poorly, but we show that a balanced leaky accumulator model with an absolute crossing criterion can approximate a ‘max-vs-ave’ test that is intermediate in performance between the absolute and max-vs-next tests. We consider free and fixed time response protocols, and show that the resulting mean reaction times under the former and decision times for fixed accuracy under the latter obey versions of Hick's law in the low error rate range, and we interpret this in terms of information gained. Specifically, we derive relationships of the forms log(n-1), log(n), or log(n+1) depending on error rates, signal-to-noise ratio, and the test itself. We focus on linearized models, but also consider nonlinear effects of neural activities (firing rates) that are bounded below and show how they modify Hick's law.     

The changing influences on commuting mode choice in urban England under Peak Car: A discrete choice modelling approach

The phenomenon of Peak Car has been defined over the past eight years as a plateau or fall in the level of car use in urban areas. Although Peak Car research to date has relied on population-level data, such macro-level trends can be disaggregated into many individual travel decisions. This research uses English survey data collected by the Department for Transport (DfT) in 2009 to test a range of variables influencing choice of commuting mode in residents of urban England. The variables tested are subdivided into spatial, demographic, level of service, and attitudinal. Multinomial logistic regression is used to test these variables individually and then in combination, producing a multivariate discrete choice model of commuting mode choice. The choice between commuting modes is fourfold: car, bus, train, and active modes. The results suggest that the relationship between income and car use is changing, as higher incomes are found to be associated with increased odds of choosing to commute by train or active modes rather than the car when other factors are controlled for. Attitudes to buses and active modes are also found to be influential.