Economic, Psychological, and Neural Creatures
نویسنده
چکیده
" Perception and choice are the products of context dependent and comparative evaluation mechanisms that can be systematic and predictable, but that do not readily lend themselves to analyses that assume consistency, independence and invariance. "-Eldar Shafir Eldar Shafir's paper powerfully reinforces the notion that we are indeed different creatures from what much economics supposed. To cite some of Shafir's examples, people are impulsive, myopic, trusting and vindictive, often have faulty intuitions about their own motives and behaviors, exhibit biased judgment and malleable and incoherent preferences. Extending this line of reasoning a bit, perhaps we are not only fundamentally different creatures from the economics viewpoint, but perhaps we are also fundamentally different from what our common sense intuitions about ourselves supposes. That is, despite the impression that we are unitary in our decision-making – that the " me " who decided on a double latte at Starbucks last week is roughly the same " me " who decided on a grande coffee yesterday – this impression could prove to be false. Think of this as the Fundamental Attribution Error directed at ourselves. There is no a priori reason why
منابع مشابه
Finding the Optimal movement patterns for continuous virtual creatures using discrete reinforcement learning algorithms Comparing Karl Sims genetic algorithms to reinforcement learning
In 1994 Karl Sims published a paper[1] about evolving virtual creatures. He combined methods from genetic algorithms and neural networks to automatically evolve virtual creatures and let them learn how to move efficiently from one location to another. In this paper we propose an experiment to prove that Genetic algorithms are not the only way to simulate biological movement. On top of that we p...
متن کاملIntelligence Based on Reinforcement Learning with Neural Networks -purposive and Harmonious Learning of the Whole Process from Sensors to Motors
There still exists a big gap between the present robots and our living creatures with regard to the intelligence. Our living creatures have an advantage of autonomous, harmonious and purposive learning for the non-modularized process from sensors to motors. In this viewpoint, it is expected that reinforcement learning with neural networks breaks through the gap. It has been proposed that raw se...
متن کاملBerry Iii: an Interactive Simulator for Artificial Creatures
BERRY III is an interactive tool for the construction and simulation of neural network controlled artificial creatures that can be considered either as biological models or as simulated robots. Environments and creatures can be built and modified during simulation time using a large set of graphical editors and viewers. The simulator also includes an extensive package for generation of graphs a...
متن کاملThe Creatures Global Digital Ecosystem
An artificial life entertainment software product called Creatures was released in Europe in late 1996 and in the United States and Japan in mid-1997. When installed on a domestic computer (PC or Macintosh), each Creatures CD-ROM creates a virtual world in which autonomous software agents exist. The agents, known as "norn," interact with the human user, with each other, and with objects in thei...
متن کاملFramsticks: Towards a Simulation of a Nature-Like World, Creatures and Evolution
In this paper we describe our attempt to create a nature-like simulation model of artificial creatures. The model includes physical simulation of creatures, their interaction with the environment, their neural network control, and both directed and open-ended evolution. We describe a complex, three-dimensional simulation system, where various fitness criteria can be selected for evolving specie...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003