Belief systems for persuasive discourse planning

This thesis is concerned with the problem of construction of the logical structure of a persuasive discourse. A persuasive discourse can be defined as a monodirectional form of communication, generated by a speaker in order to convince a hearer about the validity (or fallacy) of a specific belief The construction of the structure of a persuasive discourse is realized, in this work, through the adoption of two basic elements: a belief system and a planning system. The planning system is used as a tool for the automatic generation of the discourse structure (or plan), obtained through the decomposition of the assigned (communicative) goals of persuasion, aimed at producing specific effects on the hearer’s beliefs. The belief system is adopted in order to endow the planning process with a formal language of beliefs for the representation of such goals, and with the mechanisms which govern the propagation of their (expected) effects on the rest of the hearer's belief state. The main results presented consist of the formalization of a paradigm for specification of belief systems, and of a method — whose correctness is formally proved — for their integration with planning systems. The formalization of a belief system for discourse structure representation (defined in accordance with the theoretical paradigm) is also given, together with the description of its implementation and integration with a specific planner, which resulted in the actual completion of a system for the automatic generation of persuasive discourse plans

Tension analysis at the business model level: multiple case studies of organisations in the food waste sector

Adopting a case study approach, this work project focuses on early-stage hybrid organisations in the food waste sector. The purpose of the present study is to investigate which logics the organisations analysed embody, which business models they adopt and which tensions they experience. Four interviews were conducted, compiling three case studies. This work project advances understanding on which logics characterise early-stage hybrids in the food waste sector demonstrating that:food waste organisations embody business and environmental logics; adopt a business model in which customers are part of the beneficiaries; and experience performing, organising and learning tensions

Archaeological Building Information Modeling: beyond scalable representation of architecture and archaeology

The widespread use of technologies and processes aimed at information management is one of the main trends in today’s building industry. Collaboration, coordination and validation of design results are fostered by software and workflows that involve many disciplines. Taking into account these premises, this paper deals with the application of such a paradigm to the archaeological and architectural fields. The application to the particular case study of the Etruscan town of Kainua aspires to be exemplary, since it is referred to different metric scales, from the building to the urban settlement. The digital reconstruction of the whole town, which can be explored and studied by means of Virtual Reality, was validated from a philological point of view using an original interdisciplinary approach called ArchaeoBIM, i.e. a methodology that encompasses the information flow among different disciplines with the same interest in understanding, and virtually reconstructing, lost realities. Using this method, architectural proportions brought by existing literature, physical behaviours of materials and components, layouts of rooms and spaces regulated by rituals or historic traditions are collected in a model that is able to represent morphologies, analysis and functions. This model, basically a geometric database linking heterogeneous documents, can be used in many different ways, from analytic abstractions to static simulations, from solar analysis to visual renderings. It becomes a common language for information exchange among scholars and users interested in the dissemination and study of the cultural heritage

Suggestions from Geroscience for the Genetics of Age-Related Diseases

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Strength of preference and decisions under risk

Influential economic approaches as random utility models assume a monotonic relation between choice frequencies and “strength of preference,” in line with widespread evidence from the cognitive sciences, which also document an inverse relation to response times. However, for economic decisions under risk, these effects are largely untested, because models used to fit data assume them. Further, the dimension underlying strength of preference remains unclear in economics, with candidates including payoff-irrelevant numerical magnitudes. We provide a systematic, out-of-sample empirical validation of these relations (both for choices and response times) relying on both a new experimental design and simulations

Digital methodologies for existing buildings emerging education and training for professionals

Processes such as Building Information Modeling and, more generally, those involving the digitization of the built environment whose BIM is one of the possible expressions, are becoming increasingly pervasive in many different practices, from the design activities to the building site and management. Professional skills and working experience have now to be fostered by specific training on new methodologies concerning virtual replicas of existing domains, to explore the possibilities offered by digital interactions with Smart Heritage artifacts. This paper delves into the outcomes from the BIM Master Program held at the University of Pisa since 2016, presenting the results of the application of novel teaching techniques and topics related to the digitization of the built historic environment for the design preservation of Cultural Heritage monuments or sites

The gradual nature of economic errors

Overwhelming evidence from the cognitive sciences shows that, in simple discrimination tasks (determining what is louder, longer, brighter, or even which number is larger) humans make more mistakes and decide more slowly when the stimuli are closer along the relevant scale. We investigate to what extent these effects are relevant for economic decisions in a setting where optimal choices are objectively known (and independent of attitudes toward risk). We find that, even for tasks with objectively-correct answers, error rates and response times increase gradually as expected values become closer. Differences in payoff-independent numerical magnitudes also play a role, which however only becomes clear when one accounts for expected values. We conclude that the gradual effects on choice found in cognitive discrimination paradigms are very much present in economic choices, and depend on economic as well as perceptual variables

Who likes it more? Using response times to elicit group preferences in surveys

Surveys and opinion polls are essential instruments to elicit societal preferences and uncover differences between socioeconomic or demographic groups. However, survey data is noisy, and survey bias is ubiquitous, limiting the reliability and usefulness of standard analyses. We provide a new method that uncovers group preferences and unambiguously ranks the relative strength of preference between groups of agents, leveraging the information contained in response times. The method delivers a nonparametric criterion to determine whether a group (defined, e.g., by gender, age cohort, socioeconomic status, political orientation, etc.) prefers an option over its alternative, and whether it does so more strongly than another group, without any assumptions on the underlying noise. We demonstrate the practical value of this method by studying preferences over important socioeconomic topics in a representative sample of the U.K. population. We find that the new method often provides results when tests based on choice frequencies are inconclusive, and also identifies cases where tests are significant but inferences on preferences are unwarranted

Voting under time pressure

In a controlled laboratory experiment we investigate whether time pressure influences voting decisions, and in particular the degree of strategic (insincere) voting. We find that participants under time constraints are more sincere when using the widelyemployed Plurality Voting method. That is, time pressure might reduce strategic voting and hence misrepresentation of preferences. However, there are no effects for Approval Voting, in line with arguments that this method provides no incentives for strategic voting

Part-time Bayesians: incentives and behavioral heterogeneity in belief updating

Decisions in management and finance rely on information that often includes win-lose feedback (e.g., gains and losses, success and failure). Simple reinforcement then suggests to blindly repeat choices if they led to success in the past and change them otherwise, which might conflict with Bayesian updating of beliefs. We use finite mixture models and hidden Markov models, adapted from machine learning, to uncover behavioral heterogeneity in the reliance on difference behavioral rules across and within individuals in a belief-updating experiment. Most decision makers rely both on Bayesian updating and reinforcement. Paradoxically, an increase in incentives increases the reliance on reinforcement because the win-lose cues become more salient