Reconceptualising adaptation to climate change as part of pathways of change and response

The need to adapt to climate change is now widely recognised as evidence of its impacts on social and natural systems grows and greenhouse gas emissions continue unabated. Yet efforts to adapt to climate change, as reported in the literature over the last decade and in selected case studies, have not led to substantial rates of implementation of adaptation actions despite substantial investments in adaptation science. Moreover, implemented actions have been mostly incremental and focused on proximate causes; there are far fewer reports of more systemic or transformative actions. We found that the nature and effectiveness of responses was strongly influenced by framing. Recent decision-oriented approaches that aim to overcome this situation are framed within a "pathways" metaphor to emphasise the need for robust decision making within adaptive processes in the face of uncertainty and inter-temporal complexity. However, to date, such "adaptation pathways" approaches have mostly focused on contexts with clearly identified decision-makers and unambiguous goals; as a result, they generally assume prevailing governance regimes are conducive for adaptation and hence constrain responses to proximate causes of vulnerability. In this paper, we explore a broader conceptualisation of "adaptation pathways" that draws on 'pathways thinking' in the sustainable development domain to consider the implications of path dependency, interactions between adaptation plans, vested interests and global change, and situations where values, interests, or institutions constrain societal responses to change. This re-conceptualisation of adaptation pathways aims to inform decision makers about integrating incremental actions on proximate causes with the transformative aspects of societal change. Case studies illustrate what this might entail. The paper ends with a call for further exploration of theory, methods and procedures to operationalise this broader conceptualisation of adaptation

Automatic Service Composition. Models, Techniques and Tools.

Maurizio Lenzerini, Giuseppe De Giacomo, Massimo Mecell

Behavioral and humanistic curriculum models : a dilemma-reconciliation approach

The purpose of this dissertation is to describe an emerging psychological synthesis and its relation to significant curricular dilemmas. It proposes that it is useful to treat curricular questions from a unified and broader perspective and to deal with the paradoxes that arise, rather than take a narrow and exclusive approach. It attempts to effect a tentative reconciliation between two apparently oppositional models of psychology and education, behaviorism and humanism. This dilemma can be summed up as the recognition that both behavioral and humanistic models are useful and productive in their application to curricular processes. However, these models are usually represented as mutually exclusive and oppositional in their philosophies and operational realities. Thus, the question of which, if either, is the better approach poses a dilemma for curriculum workers

Initialisation Problems in Feature Composition

Composing features that have inconsistent requirements may lead to feature interactions that violate requirements satisfied by each feature in isolation. These interactions manifest themselves as conflicts on shared resources. Arbitration is a common approach to resolving such conflicts that uses prioritisation to decide which feature has access to resources when there is a conflict. However, arbitration alone does not guarantee satisfaction of the requirement of the feature that eventually gains access to a resource. This is because arbitration does not take into account that the resource may be in a state that is inconsistent with that expected by the feature. We call this the initialisation problem. In this thesis we propose an approach to addressing the initialisation problem which combines arbitration with contingencies. Contingency means having several specifications per feature satisfying the same requirement, depending on the current resource state. We illustrate and validate our approach by applying it to resolving conflicts between features in smart home and automotive domains. The validation shows that contingencies complement arbitration by enabling satisfaction of the requirement of the feature that eventually gains access to a shared resource, regardless of the current state of the resource. The main contribution of this thesis is an approach to analysing initialisation concerns in feature composition. At the core of our approach is an explicit consideration of all possible states of a resource as potential initial states. Given each initial state we then derive corresponding specifications that would enable a feature to satisfy its requirement in those states. We show that our approach to initialisation problems is relevant to addressing the feature interaction problem by characterising some types of conflicts as initialisation concerns

Neurobiology and crime : a neuro-ethical perspective

Current neurobiological research in the field of criminology focuses on the neurobiological characteristics associated with antisocial behavior, the prediction of antisocial behavior later in life based on neurobiological risk factors, and the ways in which neurobiological factors interact with psychological and environmental risk factors. Although the use of neurobiological knowledge has the potential to make several criminal justice practices more objective and humane, it may involve practices that are challenging with respect to stigma, neuro-determinism, autonomy and mental liberty. Four main areas of interest can be identified where neurobiology plays or could play a role: (1) criminological research focused on understanding criminal behavior, (2) the (early) detection/prediction of and intervention in deviant behavior, (3) criminal proceedings: to assess responsibility and inform sentencing, and (4) forensic rehabilitation and treatment settings. In this paper, I discuss the main ethical dilemmas that arise when considering the use of recent neurobiological advances in these areas