389 research outputs found
Visions, needs and requirements for Future Research Environments: An Exploration with Computer Scientist and Science Fiction Author Cory Doctorow
No full textWe live in remarkable times: the world is changing at an increasing pace, our societies face challenges that extend across national and geographical borders, and we are flooded with (dis)information. The scientific process has already changed extraordinarily in the past half century with research environments evolving from isolated and loosely connected islands to dense networks of researcher and institutional cooperation. In order to develop and explore visions for research, science and society that give us ways into desirable futures an exploration series to consider different perspectives on how research will be conducted in the future was launched. This document contains the interview with Computer Scientist and Science Fiction Author Cory Doctorow
Out of the shadows : assessing the needs and challenges of the Syrian LGBTQI+ community
No full textauthor Cory Rodger
Cory House: History
No full textHistory of the Cory Cornell land, house and farm. Criteria Statement for placement on the National Register of Historic Places. No date or author cited on this document, however an email dated December 14, 2004 from Peggi Medeiros of the Waterfront League contains the same content
Cory House: History
No full textHistory of the Cory Cornell land, house and farm. Criteria Statement for placement on the National Register of Historic Places. No date or author cited on this document, however an email dated December 14, 2004 from Peggi Medeiros of the Waterfront League contains the same content
Open-World Narrative Generation to Answer Players’ Questions
No full textPlanning-based narrative generation is effective at producing stories with a logically-sound flow of events, but it can be limiting due to the rigidity of its constraints and the high burden on the domain author to define story-world objects, initial states, and author and character goals. Giving the system the freedom to add objects and events to the story-world history arbitrarily can improve variety and reduce authorial burden, but risks leading to stories that seem jarringly contrived to the audience. I propose to use question-answering as the antidote to contrivance in a highly-generative interactive narrative system: By modeling the player's beliefs about the story world, inferring the implicit questions the player may be asking through their interactions, and answering those questions in a way consistent with the player's prior knowledge, a system could focus on creating cohesion in the ways that matter most to the player while accepting a degree of contrivance in the details that the player is likely to overlook
Cory House: Statement of Criteria for Massachusetts Historical Commission Nomination
No full textThe Statement of Criteria written to the Massachusetts Historical Commission in support of the Cory House Project nomination in the category of Rehabilitation and Restoration. No author or date appear on this document
Cory House: Statement of Criteria for Massachusetts Historical Commission Nomination
No full textThe Statement of Criteria written to the Massachusetts Historical Commission in support of the Cory House Project nomination in the category of Rehabilitation and Restoration. No author or date appear on this document
Electric utilities and the Clean Fuels Program
No full textby: Cory-Ann Wind.Title from PDF caption (viewed on September 28, 2017).This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Mode of access: Internet from the Oregon Government Publications Collection.Text in English
An object-oriented signal processing environment: the knowledge-based signal processing package
No full text"October 1984."Includes bibliographical references (p. 63) and index.Supported by Advanced Research Projects Agency, monitored by ONR. N00014-81-K-0742 NR-049-506. Supported by Sanders Associates, and an Amoco Foundation Fellowship.Software authors: Webster P. Dove and Cory Meyers ; Document author: Evangelos E. Milios
Sabre: A Narrative Planner Supporting Intention and Deep Theory of Mind
No full textSabre is a narrative planner—a centralized, omniscient decision maker that solves a multi-agent storytelling problem. The planner has an author goal it must achieve, but every action taken by an agent must make sense according to that agent's individual intentions and limited, possibly wrong beliefs. This paper describes the implementation of Sabre, which supports a rich action syntax and imposes no arbitrary limit on the depth of theory of mind. We present a search procedure for generating plans that achieve the author goals while ensuring all agent actions are explained, and we report the system's performance on several narrative planning benchmark problems
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