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"Decision making Fiction."
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Would you rather be a bullfrog?
Poses questions for pondering: \"Would you rather be a dog or be a cat?,\" \"Would you rather live in igloos or in tents?,\" \"Would you rather be a mermaid with a tail instead of feet?\"
Book
Jane, Unlimited by Kristin Cashore (review)
Jane’s arrival on the island brings only more strangeness-Kiran’s acting weird, an enigmatic girl named Ivy may or may not be interested in Jane, there are rumors of a missing family on the estate, and then one of the family’s precious paintings is stolen.Readers will be just as puzzled as Jane as Cashore sets the pieces for a traditional murder mystery and then upends the board, changing the game and the rules completely as Jane’s story is split into five separate but parallel pieces, originating in the choice she makes out of five options (think Choose Your Own Adventure).
Journal Article
Give and take
In his apple orchard, a farmer meets a little man named Take and follows his advice, which does not turn out well, and the next day meets a little man named Give, whose advice is just as bad.
Book
Rationalization is rational
Rationalization occurs when a person has performed an action and then concocts the beliefs and desires that would have made it rational. Then, people often adjust their own beliefs and desires to match the concocted ones. While many studies demonstrate rationalization, and a few theories describe its underlying cognitive mechanisms, we have little understanding of its function. Why is the mind designed to construct post hoc rationalizations of its behavior, and then to adopt them? This may accomplish an important task: transferring information between the different kinds of processes and representations that influence our behavior. Human decision making does not rely on a single process; it is influenced by reason, habit, instinct, norms, and so on. Several of these influences are not organized according to rational choice (i.e., computing and maximizing expected value). Rationalization extracts implicit information - true beliefs and useful desires - from the influence of these non-rational systems on behavior. This is a useful fiction - fiction, because it imputes reason to non-rational psychological processes; useful, because it can improve subsequent reasoning. More generally, rationalization belongs to the broader class of representational exchange mechanisms, which transfer information between many different kinds of psychological representations that guide our behavior. Representational exchange enables us to represent any information in the manner best suited to the particular tasks that require it, balancing accuracy, efficiency, and flexibility in thought. The theory of representational exchange reveals connections between rationalization and theory of mind, inverse reinforcement learning, thought experiments, and reflective equilibrium.
Journal Article
What should Riley do?
\"Riley would be lost without her Five Emotions! Joy, Sadness, Anger, Fear and Disgust help Rieley make decision every day. Now you can help, too! Decide whether Riley will try out for the school play, go to ice hockey practice, make new friends, and more. Help Riley make many happy memories!\" -- page [4] of cover.
Book
Imaginary politics: Climate change and making the future
Climate change places major transformational demands on modern societies. Transformations require the capacity to collectively envision and meaningfully debate realistic and desirable futures. Without such a collective imagination capacity and active deliberation processes, societies lack both the motivation for change and guidance for decision-making in a certain direction of change. Recent arguments that science fiction can play a role in societal transformation processes is not yet supported by theory or empirical evidence. Advancing the argument that fiction can support sustainability transformations, this paper makes four contributions. First, building on the imaginary concept, I introduce and define the idea of socio-climatic imaginaries. Second, I develop a theory of imagination as linked cognitive-social processes that enable the creation of collectively shared visions of future states of the world. This theory addresses the dynamics that bridge imagination processes in the individual mind and collective imagining that informs social and political decision-making. Third, emphasizing the political nature of creating and contesting imaginaries in a society, I introduce the role of power and agency in this theory of collective imagination. I argue that both ideational and structural power concepts are relevant for understanding the potential societal influence of climate fiction. Finally, the paper illuminates these different forms of transformational power and agency with two brief case studies: two climate fiction novels. I contrast a dystopian and utopian science fiction novel – Paolo Bacigalupi’s The Water Knife (2015) and Kim Stanley Robinson’s Green Earth (2015). The two books are very similar in their power/agency profile, but the comparison provides initial insights into the different roles of optimistic and pessimistic future visions.
Journal Article
Clover
\"Having a hard time making decisions, young Clover must think quickly and act decisively when her beloved goat wanders too far from the farm\"-- Provided by publisher
Book
Artificial Intelligence in News Media: Current Perceptions and Future Outlook
In recent years, news media has been greatly disrupted by the potential of technologically driven approaches in the creation, production, and distribution of news products and services. Artificial intelligence (AI) has emerged from the realm of science fiction and has become a very real tool that can aid society in addressing many issues, including the challenges faced by the news industry. The ubiquity of computing has become apparent and has demonstrated the different approaches that can be achieved using AI. We analyzed the news industry’s AI adoption based on the seven subfields of AI: (i) machine learning; (ii) computer vision (CV); (iii) speech recognition; (iv) natural language processing (NLP); (v) planning, scheduling, and optimization; (vi) expert systems; and (vii) robotics. Our findings suggest that three subfields are being developed more in the news media: machine learning, computer vision, and planning, scheduling, and optimization. Other areas have not been fully deployed in the journalistic field. Most AI news projects rely on funds from tech companies such as Google. This limits AI’s potential to a small number of players in the news industry. We made conclusions by providing examples of how these subfields are being developed in journalism and presented an agenda for future research.
Journal Article