Siavash Mahmoudian's Blog

iPhone

Wed, 12 Sep 2007 14:20:44 +0000

iPhone in action

The iPhone is a multimedia and Internet-enabled quad-band GSM EDGE-supported mobile phone designed and sold by Apple Inc. The iPhone's functions include those of a camera phone and a portable media player ("iPod"), in addition to text messaging and visual voicemail. It also offers Internet services including e-mail, web browsing, and local Wi-Fi connectivity. User input is accomplished via a multi-touch screen with virtual keyboard and buttons.

The iPhone has been available since June 29, 2007 in the United States from Apple retail and online stores, and from AT&T Mobility. It is currently offered for US$399 for an 8 GB model.

AIBO

Wed, 12 Sep 2007 08:00:39 +0000

AIBO (Artificial Intelligence roBOt, homonymous with "partner" in Japanese) is one of several types of robotic pets designed and manufactured by Sony; there have been several different models since their introduction in 1999. Able to walk, "see" its environment via camera, and recognize spoken commands, they are considered to be autonomous robots, since they are able to learn and mature based on external stimuli from their owner or environment, or from other AIBOs. Artist Hajime Sorayama created the initial designs for the AIBO.

AIML

Wed, 05 Sep 2007 19:18:48 +0000

AIML, or Artificial Intelligence Markup Language, is an XML dialect for creating natural language software agents.

Yahoo! Messenger Protocol

Wed, 05 Sep 2007 19:02:12 +0000

The Yahoo! Messenger Protocol is the underlying network protocol used by the Yahoo! Messenger instant messaging client, for Yahoo!. Yahoo! Instant Messager supports many features beyond just messaging, including off-line messaging, file transfer, chat, conferencing, voice chat, webcams and avatars.

Fuzzy logic

Wed, 05 Sep 2007 18:56:35 +0000

Fuzzy logic is derived from fuzzy set theory dealing with reasoning that is approximate rather than precisely deduced from classical predicate logic. It can be thought of as the application side of fuzzy set theory dealing with well thought out real world expert values for a complex problem (Klir 1997).

Degrees of truth are often confused with probabilities. However, they are conceptually distinct; fuzzy truth represents membership in vaguely defined sets, not likelihood of some event or condition. For example, if a 100-ml glass contains 30 ml of water, then, for two fuzzy sets, Empty and Full, one might define the glass as being 0.7 empty and 0.3 full. Note that the concept of emptiness would be subjective and thus would depend on the observer or designer. Another designer might equally well design a set membership function where the glass would be considered full for all values down to 50 ml. A probabilistic setting would first define a scalar variable for the fullness of the glass, and second, conditional distributions describing the probability that someone would call the glass full given a specific fullness level. Note that the conditioning can be achieved by having a specific observer that randomly selects the label for the glass, a distribution over deterministic observers, or both. While fuzzy logic avoids talking about randomness in this context, this simplification at the same time obscures what is exactly meant by the statement the 'glass is 0.3 full'.

Fuzzy logic allows for set membership values to range (inclusively) between 0 and 1, and in its linguistic form, imprecise concepts like "slightly", "quite" and "very". Specifically, it allows partial membership in a set. It is related to fuzzy sets and possibility theory. It was introduced in 1965 by Lotfi Zadeh at the University of California, Berkeley.