Dynamic Cognition Applied to Value Learning in Artificial Intelligence

Experts in Artificial Intelligence (AI) development predict that advances in the dvelopment of intelligent systems and agents will reshape vital areas in our society. Nevertheless, if such an advance isn't done with prudence, it can result in negative outcomes for humanity. For this reason, several researchers in the area are trying to develop a robust, beneficial, and safe concept of artificial intelligence. Currently, several of the open problems in the field of AI research arise from the difficulty of avoiding unwanted behaviors of intelligent agents, and at the same time specifying what we want such systems to do. It is of utmost importance that artificial intelligent agents have their values aligned with human values, given the fact that we cannot expect an AI to develop our moral preferences simply because of its intelligence, as discussed in the Orthogonality Thesis. Perhaps this difficulty comes from the way we are addressing the problem of expressing objectives, values, and ends, using representational cognitive methods. A solution to this problem would be the dynamic cognitive approach proposed by Dreyfus, whose phenomenological philosophy defends that the human experience of being-in-the-world cannot be represented by the symbolic or connectionist cognitive methods. A possible approach to this problem would be to use theoretical models such as SED (situated embodied dynamics) to address the values learning problem in AI

Belief Revision in Multi-Agent Systems

The ability to respond sensibly to changing and conflicting beliefs is an integral part of intelligent agency. To this end, we outline the design and implementation of a Distributed Assumption-based Truth Maintenance System (DATMS) appropriate for controlling cooperative problem solving in a dynamic real world multi-agent community. Our DATMS works on the principle of local coherence which means that different agents can have different perspectives on the same fact provided that these stances are appropriately justified. The belief revision algorithm is presented, the meta-level code needed to ensure that all system-wide queries can be uniquely answered is described, and the DATMS’ implementation in a general purpose multi-agent shell is discussed

The effects of brief mindfulness practice on stress reduction and mental health

Lately, mindfulness has been gaining a lot of attention. Research have found that its practice can promote several health benefits and lead to a better quality of life. This research investigates the relationship between mindfulness and stress; specially, if a brief mindfulness meditation session is capable of reproducing the same stress reduction benefits as the 8-week long mindfulness-based stress reduction (MBSR) program. Based on a review of literature, an online study was conducted, and no significant difference was found between the experimental and the control group, indicating that the practice of a brief mindfulness session is not related to stress reduction

Metanormativity: Solving questions about moral and empirical uncertainty

How can someone reconcile the desire to eat meat, and a tendency toward vegetarian ideals? How should we reconcile contradictory moral values? How can we aggregate different moral theories? How individual preferences can be fairly aggregated to represent a will, norm, or social decision? Conflict resolution and preference aggregation are tasks that intrigue philosophers, economists, sociologists, decision theorists, and many other scholars, being a rich interdisciplinary area for research. When trying to solve questions about moral uncertainty a meta understanding of the concept of normativity can help us to develop strategies to deal with norms themselves. 2nd-order normativity, or norms about norms, is a hierarchical way to think about how to combine many different normative structures and preferences into a single coherent decision. That is what metanormativity is all about, a way to answer: what should we do when we don’t know what to do? In this study, we will review a decision-making strategy dealing with moral uncertainty, Maximization of Expected Choice-Worthiness. This strategy, proposed by William MacAskill, allows for the aggregation and inter-theoretical comparison of different normative structures, cardinal theories, and ordinal theories. In this study, we will exemplify the metanormative methods proposed by MacAskill, using has an example, a series of vegetarian dilemmas. Given the similarity to this metanormative strategy to expected utility theory, we will also show that it is possible to integrate both models to address decision-making problems in situations of empirical and moral uncertainty. We believe that this kind of ethical-mathematical formalism can be useful to help develop strategies to better aggregate moral preferences and solve conflicts

Revision of the EU Green Public Procurement (GPP) Criteria for Textile Products and Services: Technical Report with final criteria.

The revision of the Green Public Procurement (GPP) criteria for Textile products and Services is aimed at helping public authorities to ensure that textiles products and services are procured in such a way that it delivers environmental improvements that contribute to European policy objectives for energy, chemical management and resource efficiency, as well as reducing life cycle costs. In order to identify the most significant improvement areas for criteria development an analysis has been carried out of the environmental impacts of manufacturing and using textile products and providing textile services. The most commonly used procurement processes have been also identified and are further addressed in the separate criteria document (published as a Staff Working Document of the Commission). Together these two documents aim to provide public authorities with orientation on how to effectively integrate these GPP criteria into their procurement processes.JRC.B.5-Circular Economy and Industrial Leadershi

On the Efficiency of Ethics as a Governing Tool for Artificial Intelligence

The 4th Industrial Revolution is the culmination of the digital age. Nowadays, technologies such as robotics, nanotechnology, genetics, and artificial intelligence promise to transform our world and the way we live. Artificial Intelligence Ethics and Safety is an emerging research field that has been gaining popularity in recent years. Several private, public and non-governmental organizations have published guidelines proposing ethical principles for regulating the use and development of autonomous intelligent systems. Meta-analyses of the AI Ethics research field point to convergence on certain principles that supposedly govern the AI industry. However, little is known about the effectiveness of this form of Ethics. In this paper, we would like to conduct a critical analysis of the current state of AI Ethics and suggest that this form of governance based on principled ethical guidelines is not sufficient to norm the AI industry and its developers. We believe that drastic changes are necessary, both in the training processes of professionals in the fields related to the development of software and intelligent systems and in the increased regulation of these professionals and their industry. To this end, we suggest that law should benefit from recent contributions from bioethics, to make the contributions of AI ethics to governance explicit in legal terms

Identifying macro-objectives for the life cycle environmental performance and resource efficiency of EU buildings

This working paper forms the main deliverable and outcome from work package A of the wider study. The aim of this working paper is to inform the identification of the most relevant macro-objectives for a building’s life cycle resource efficiency. These macro-objectives will in turn inform and set the scope for the common framework of indicators in work packages B,C and D. The first draft of this working paper was presented as the basis for discussion at the first stakeholder working group meeting, which was held in Brussels on the 16th June 2015. At that meeting the proposed boundaries, scope and coverage of the macro-objectives were discussed. Feedback from those discussions, together with follow-up written feedback, has been used in Chapters 6 and 7 of this working paper to identify a final set of macro-objectives that will be used to set the scope for the framework of indicators. In order to inform the initial proposals for discussion that were presented to stakeholders, this paper reviews existing legislation, scientific evidence, building schemes, collaborative research projects and other relevant literature. A high level scoping of environmental and resource efficiency ‘hot spots’ along the life cycle of buildings has also been carried out. Potential linkages and trade-offs between resource use, impacts along the life cycle and functional performance, with a specific focus on health and wellbeing aspects, have also been identified.JRC.B.5-Circular Economy and Industrial Leadershi

The Spitzer c2d survey of large, nearby, interstellar clouds. X. The Chamaeleon II pre-main-sequence population as observed with IRAC and MIPS

We discuss the results from the combined IRAC and MIPS c2d Spitzer Legacy survey observations and complementary optical and NIR data of the Chamaeleon II (Cha II) dark cloud. We perform a census of the young population in an area of similar to 1.75 deg^(2) and study the spatial distribution and properties of the cloud members and candidate pre-main-sequence (PMS) objects and their circumstellar matter. Our census is complete down to the substellar regime (M approximate to 0.03 M☉). From the analysis of the volume density of the PMS objects and candidates we find two groups of objects with volume densities higher than 25 M☉ pc^(-3) and 5-10 members each. A multiplicity fraction of about 13% +/- 3% is observed for objects with separations 0.8" < θ < 6.0" (142-1065 AU). No evidence for variability between the two epochs of the c2d IRAC data set, Δt ~ 6 hr, is detected. We estimate a star formation efficiency of 1%-4%, consistent with the estimates for Taurus and Lupus, but lower than for Cha I. This might mean that different star formation activities in the Chamaeleon clouds reflect a different history of star formation. We also find that Cha II is turning some 6-7 M☉ into stars every Myr, which is low in comparison with the star formation rate in other c2d clouds. The disk fraction of 70%-80% that we estimate in Cha II is much higher than in other star-forming regions and indicates that the population in this cloud is dominated by objects with active accretion. Finally, the Cha II outflows are discussed; a new Herbig-Haro outflow, HH 939, driven by the classical T Tauri star Sz 50, has been discovered