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In recent years, we have witnessed an explosion of information about the brain. New imaging techniques have given neuroscientists the tools to peer into the brain in ways unimaginable just a few years ago. What they are learning is revolutionizing our understanding of this incredible neural machinery, and now they are able to ask-and answer--questions that will eventually unravel many mysteries...

We motivate and describe a theory of belief in this paper. This theory is developed with the following view of human belief in mind. Consider the belief that an event E will occur (or has occurred or is occurring). An agent either entertains this belief or does not entertain this belief (i.e., there is no "grade" in entertaining the belief). If the agent chooses to exercise "the will to believe...

In order to interact with the world, people must be able to predict how it will unfold in the future, and these predictions must be updated regularly in light of new information. Here we study how the mind updates these predictions over time. Participants were asked to make ongoing predictions about the destination of a simulated ball moving on a 2D bumper table. We modeled these decisions by a...

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The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in RFC 2119 [6]. Although RFC 2119 was written with protocols in mind, the key words are used in this document for similar reasons. They are used to ensure the results of measurements from two different implementatio...

The paper attempts to describe the space of possible mind designs by first equating all minds to software. Next it proves some interesting properties of the mind design space such as infinitude of minds, size and representation complexity of minds. A survey of mind design taxonomies is followed by a proposal for a new field of investigation devoted to study of minds, intellectology, a list of o...

In this paper, we examine Newell's de nition of an agent's intelligence. This de nition implies a very strict correlation between the agent's knowledge, its mind, and its behavior. Based on this correlation we argue that a concise representation for the agent's behavior is often essential for measuring its intelligence. We present Behavioral Bounding, a method that can be used to calculate a co...