Emergence of sensory selection mechanisms in Artificial Life simulations

the test for adverse selection in life insurance market: the case of mellat insurance company

انتخاب نامساعد یکی از مشکلات اساسی در صنعت بیمه است. که ابتدا در سال 1960، توسط روتشیلد واستیگلیتز مورد بحث ومطالعه قرار گرفت ازآن موقع تاکنون بسیاری از پژوهشگران مدل های مختلفی را برای تجزیه و تحلیل تقاضا برای صنعت بیمه عمر که تماما ناشی از عدم قطعیت در این صنعت میباشد انجام داده اند .وهدف از آن پیدا کردن شرایطی است که تحت آن شرایط انتخاب یا کنار گذاشتن یک بیمه گزار به نفع و یا زیان شرکت بیمه ...

Testing for Emergence in Artificial Life

The field of artificial life (Alife) is replete with documented instances of emergence, though debate still persists as to the meaning of this term. In the absence of a formal definition, researchers in the field would be well served by adopting an emergence certification mark which would garner approval from the Alife community. We propose an emergence test, consisting of three criteria—design...

securitization of mortality risks in life annuities

insurers have in the past few decades faced longevity risks - the risk that annuitants survive more than expected - and therefore need a new approach to manage this new risk. in this dissertation we survey methods that hedge longevity risks. these methods use securitization to manage risk, so using modern financial and insurance pricing models, especially wang transform and actuarial concepts, ...

Artificial Life Environment - A Framework For Artificial Life Simulations

Memes in Artificial Life Simulations of Life History Evolution

The effect that learning has on Life History Evolution has recently been studied using a series of Artificial Life simulations in which populations of competing individuals evolve to learn to perform well on simple abstract tasks. Those simulations assumed that learning was achieved by identifying patterns in sets of training data, i.e. through direct experience. In practice, learning is not on...