Trust and multi-agent systems: applying the “diffuse,default model” of trust to experiments involving artificial agents

We argue that the notion of trust, as it figures in an ethical context, can be illuminated by examining research in artificial intelligence on multi-agent systems in which commitment and trust are modeled. We begin with an analysis of a philosophical model of trust based on Richard Holton’s interpretation of P. F. Strawson’s writings on freedom and resentment, and we show why this account of trust is difficult to extend to artificial agents (AAs) as well as to other non-human entities. We then examine Margaret Urban Walker’s notions of “default trust” and “default, diffuse trust” to see how these concepts can inform our analysis of trust in the context of AAs. In the final section, we show how ethicists can improve their understanding of important features in the trust relationship by examining data resulting from a classic experiment involving AAs.     

Evaluation of reference intervals of serum lipid profile from healthy population in Western Maharashtra

Fasting samples of 914 subjects from healthy population were analyzed for total cholesterol, triglyceride and three major fractions of lipoproteins i.e. high-density lipoprotein cholesterol, low lipoprotein cholesterol and very low-density lipoprotein cholesterol. The values obtained were (in mg/dl) 165.7±30.2,88.36±31.2, 44.86±10.68, 101.66±29.8 and 18.11±7.35 respectively. When these subjects were grouped according to the age and sex, no appropriate differences were observed between most of the groups. Triglycerides were found to be low and HDL cholesterol was high in female when compared with male of similar age. Beyond age 40 years cholesterol level and low density lipoprotein cholesterol was found to be gradually increased in case of women. Minor difference was observed with dietary pattern. Present study suggests that clinical evaluation of patient should be made on the basis of these reference values for Western Maharashtra population.