Hoarding Symptoms Are Not Exclusive to Hoarders

Hoarding Disorder (HD) was originally conceptualized as a subcategory of Obsessive Compulsive Disorder (OCD), and numerous studies have in fact focused exclusively on investigating the comorbidity between OCD and HD. Hoarding behavior can nevertheless also be found in other clinical populations and in particular in patients with eating disorders (ED), anxiety disorders (AD), major depression (MD), and psychotic disorders (PD). The current study was carried out with the aim of investigating, using a validated instrument such as the Saving Inventory-Revised (SI-R), the presence of HD symptoms in patients diagnosed with ED, AD, MD and PD. Hoarding symptomatology was also assessed in groups of self-identified hoarders (SIH) and healthy controls. The results revealed that 22.5% of the ED patients exceeded the cut-off for the diagnosis of HD, followed by 7.7% of the patients with MD, 7.4% of the patients with AD, and 5.9% of the patients with PD. The patients with ED had significantly higher SI-R scores than the other groups in the Acquisition and Difficulty Discarding scales while the AD, MD, and PD patients were characterized exclusively by Difficulty Discarding. These data suggest to clinicians that hoarding symptoms should be assessed in other types of patients and especially in those affected by Bulimia and Binge eating

The cognitive behavioral assessment (CBA) project : Presentation and proposal for international collaboration

Aims: The main aim of this paper is to describe almost 30 years of work on psychological assessment using CBA, a research team, and to propose collaboration with Latin countries. Methods: The acronym CBA stands for Cognitive Behavioural Assessment and indicates both an overall approach to clinical assessment and a series of tests. Five general principles formed the basis on which the team developed their questionnaires: (1) assessment is not a passive collection of information, but an active process similar to problem-solving; (2) horizontal integration of questionnaires with other assessment methods; (3) vertical integration and hierarchical structure of assessment questionnaires; (4) idiographic perspective; (5) computer support. Results: The paper briefly presents the most important tests: CBA-2.0, a broad-spectrum Battery for patients who need counselling and/or psychotherapy; CBA-H (Hospital) for both in-patients and out-patients suffering from physical illnesses; CBA-SPORT for professional athletes; CBA-Y (young people) for adolescents and young adults; CBD-VE (treatment benefits) to assess the effectiveness of psychological treatment. Conclusion: These questionnaires have produced over 100 research works, published in Italian journals or presented in conferences. In the near future, we expect important, radical changes and hope to create an international research milieu

Optimistic Planning for Markov Decision Processes

International audienceThe reinforcement learning community has recently intensified its interest in online planning methods, due to their relative independence on the state space size. However, tight near-optimality guarantees are not yet available for the general case of stochastic Markov decision processes and closed-loop, state-dependent planning policies. We therefore consider an algorithm related to AO* that optimistically explores a tree representation of the space of closed-loop policies, and we analyze the near-optimality of the action it returns after n tree node expansions. While this optimistic planning requires a finite number of actions and possible next states for each transition, its asymptotic performance does not depend directly on these numbers, but only on the subset of nodes that significantly impact near-optimal policies. We characterize this set by introducing a novel measure of problem complexity, called the near-optimality exponent. Specializing the exponent and performance bound for some interesting classes of MDPs illustrates the algorithm works better when there are fewer near-optimal policies and less uniform transition probabilities