The Ribbon of Love: Fuzzy-Ruled Agents in Artificial Societies

The paper brings two motivations to the theoretical explorations of social analysis. The first is to enrich the agent based computational sociology by incorporating the fuzzy set theory in to the computational modeling. This is conducted by showing the importance to include the fuzziness into artificial agent’s considerations and her way acquiring and articulate information. This is continued with the second motives to bring the Darwinian sexual selection theory – as it has been developed broadly in evolutionary psychology – into the analysis of social system including cultural analysis and other broad aspects of sociological fields. The two was combined in one computational model construction showing the fuzziness of mating choice, and how to have computational tools to explain broad fields of social realms. The paper ends with some opened further computer program development

Beneficial Artificial Intelligence Coordination by means of a Value Sensitive Design Approach

This paper argues that the Value Sensitive Design (VSD) methodology provides a principled approach to embedding common values in to AI systems both early and throughout the design process. To do so, it draws on an important case study: the evidence and final report of the UK Select Committee on Artificial Intelligence. This empirical investigation shows that the different and often disparate stakeholder groups that are implicated in AI design and use share some common values that can be used to further strengthen design coordination efforts. VSD is shown to be both able to distill these common values as well as provide a framework for stakeholder coordination

Outline bibliography, and KWIC index on mechanical theorem proving and its applications

Bibliography and KWIC index on mechanical theorem proving and its application

Computational Experiments with the Fuzzy Love and Romance

The paper report some experiments on the issue of human mating games and sexual preferences in the perspective of population and some macro-social realms. The notions of love, romance, fidelity, and sexual attractiveness are those comprising the theory to human intra-species evolution but yet still rare to be employed to understand human social, economic, and cultural studies in terms of sociology or economics. The paper did experiments on those issues, on the possible relation between population growth, power-law distribution of wealth, and some other relevant points to our realization of evolutionary theory of sexual selection. The paper expects to open an alternative bridge of our advancement in human evolution and the complexity of the social system

City of Uruk 3000 B.C. : using genetic algorithms, dynamic planning and crowd simulation to re-enact everyday life of ancient Sumerians

Virtual reality reconstructions of ancient historical sites have become a valuable technique for popularising science and visualising expert knowledge to general audiences. Most such reconstructions only re-create buildings and artefacts and place them in the context of the virtual environment, but what is often missing in such simulations is the ability to see how ancient people lived their daily life in these environments. Our presented case study shows how the use of genetic algorithms and simulation of physiological needs helped us to populate the 3D reconstruction of the city of Uruk with a large crowd of intelligent agents simulating daily life of ancient Sumerians in Uruk

Measuring impact of academic research in computer and information science on society

Academic research in computer & information science (CIS) has contributed immensely to all aspects of society. As academic research today is substantially supported by various government sources, recent political changes have created ambivalence amongst academics about the future of research funding. With uncertainty looming, it is important to develop a framework to extract and measure the information relating to impact of CIS research on society to justify public funding, and demonstrate the actual contribution and impact of CIS research outside academia. A new method combining discourse analysis and text mining of a collection of over 1000 pages of impact case study documents written in free-text format for the Research Excellence Framework (REF) 2014 was developed in order to identify the most commonly used categories or headings for reporting impact of CIS research by UK Universities (UKU). According to the research reported in REF2014, UKU acquired 83 patents in various areas of CIS, created 64 spin-offs, generated £857.5 million in different financial forms, created substantial employment, reached over 6 billion users worldwide and has helped save over £1 billion Pounds due to improved processes etc. to various sectors internationally, between 2008 and 2013