1. Artificial Intelligence

Category Archives: Artificial Intelligence

playing the contra adventure (pt 4) using Human-Level Artificial Intelligence – Video

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playing the contra adventure (pt 4) using Human-Level Artificial Intelligence
http://www.humanlevelartificialintelligence.com This video shows a robot playing a PS1 game called the contra adventure. There are no sound in parts of the v...

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playing the contra adventure (pt 4) using Human-Level Artificial Intelligence - Video

Transcendence – Official Trailer #2 (2014) [HD 1080p] Johnny Depp, Morgan Freeman – Video

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Transcendence - Official Trailer #2 (2014) [HD 1080p] Johnny Depp, Morgan Freeman
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Transcendence - Official Trailer #2 (2014) [HD 1080p] Johnny Depp, Morgan Freeman - Video

AIDR: Artificial Intelligence for Disaster Response (Approach Overview) – Video

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AIDR: Artificial Intelligence for Disaster Response (Approach Overview)
AIDR Artificial Intelligence for Disaster Response is a free, open-source, and easy-to-use platform to filter and classify relevant microblog messages duri...

By: Imran Muhammad

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AIDR: Artificial Intelligence for Disaster Response (Approach Overview) - Video

Anki’s Boris Sofman – "Artificial Intelligence and Robotics" – D.I.C.E. 2014 Summit – Video

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Anki #39;s Boris Sofman - "Artificial Intelligence and Robotics" - D.I.C.E. 2014 Summit
As an engineer and researcher with experience in building diverse robotic systems from consumer products to off-road autonomous vehicles and bomb-disposal ...

By: Variety

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Anki's Boris Sofman - "Artificial Intelligence and Robotics" - D.I.C.E. 2014 Summit - Video

Artificial intelligence, situated approach – Wikipedia …

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In artificial intelligence research, the situated approach builds agents that are designed to behave effectively successfully in their environment. This requires designing AI "from the bottom-up" by focussing on the basic perceptual and motor skills required to survive. The situated approach gives a much lower priority to abstract reasoning or problem-solving skills.

The approach was originally proposed as an alternative to traditional approaches (that is, approaches popular before 1985 or so. After several decades of success, these older approaches to modeling decision-making, such as expert systems, finite state machines or decision trees reached their limitations in the 1980s when researchers tried to use them to drive real robots in uncertain environments. In fact, classical AI technologies face intractable issues, such as combinatorial explosion, when confronted with real-world modeling problems, and several directions have been explored by researchers to address these issues. All these approaches focus on modeling intelligence situated in a given environment: they have come to be known as the situated approach to AI.

During the late 1980s, the approach now known as nouvelle AI (nouvelle means new in French) was pioneered at the MIT Artificial Intelligence Laboratory by Rodney Brooks. As opposed to classical or traditional artificial intelligence, nouvelle AI purposely avoided the traditional goal of modeling human-level performance, but rather tries to create systems with intelligence at the level of insects, closer to real-world robots. But eventually, at least at MIT new AI did lead to an attempt for humanoid AI in the Cog Project.

The conceptual shift introduced by nouvelle AI flourished in the robotics area, given way to behavior-based artificial intelligence (BBAI), a methodology for developing AI based on a modular decomposition of intelligence. It was made famous by Rodney Brooks: his subsumption architecture was one of the earliest attempts to describe a mechanism for developing BBAI. It is extremely popular in robotics and to a lesser extent to implement intelligent virtual agents because it allows the successful creation of real-time dynamic systems that can run in complex environments. For example, it underlies the intelligence of the Sony, Aibo and many RoboCup robot teams.

Realizing that in fact all these approaches were aiming at building not an abstract intelligence, but rather an intelligence situated in a given environment, they have come to be known as the situated approach. In fact, this approach stems out from early insights of Alan Turing, describing the need to build machines equipped with sense organs to learn directly from the real-world instead of focusing on abstract activities, such as playing chess.

Classically, a software entity is defined as a simulated element, able to act on itself and on its environment, and which has an internal representation of itself and of the outside world. An entity can communicate with other entities, and its behavior is the consequence of its perceptions, its representations, and its interactions with the other entities.

Simulating entities in a virtual environment requires simulating the entire process that goes from a perception of the environment, or more generally from a stimulus, to an action on the environment. This process is called the AI loop and technology used to simulate it can be subdivided in two categories. Sensorimotor or low-level AI deals with either the perception problem (what is perceived?) or the animation problem (how are actions executed?). Decisional or high-level AI deals with the action selection problem (what is the most appropriate action in response to a given perception, i.e. what is the most appropriate behavior?).

There are two main approaches in decisional AI. The vast majority of the technologies available on the market, such as planning algorithms, finite state machines (FSA), or expert systems, are based on the traditional or symbolic AI approach. Its main characteristics are:

However, the limits of traditional AI, which goal is to build systems that mimic human intelligence, are well-known: inevitably, a combinatorial explosion of the number of rules occurs due to the complexity of the environment. In fact, it is impossible to predict all the situations that will be encountered by an autonomous entity.

In order to address these issues, another approach to decisional AI, also known as situated or behavioral AI, has been proposed. It does not attempt to model systems that produce deductive reasoning processes, but rather systems that behave realistically in their environment. The main characteristics of this approach are the following:

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Playing super metroid (pt 2) using human level artificial intelligence – Video

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Playing super metroid (pt 2) using human level artificial intelligence
http://www.humanlevelartificialintelligence.com This video shows a robot playing a SNES game called Super Metroid. There are no sound in the video because I ...

By: electronicdave2

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Playing super metroid (pt 2) using human level artificial intelligence - Video

Debt Advice Software, Offered To Consumers At No Cost, Marks The First Use Of A Newly Patented Artificial Intelligence …

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Chicago, IL (PRWEB) February 11, 2014

A new innovative personal debt analysis system, based on patented artificial intelligence software, became public recently. Partners In Charity, the non-profit sponsor of the site, provides the new program, offering completely free debt advice for all consumers in the United States. Programmed in conjunction with Financial Firebird Corporation, and a former debt and bankruptcy attorney, the system employs powerful analysis to help point people with unsecured debt in the right direction to deal their medical and credit card bills in a proper way.

The new patented artificial intelligence decision making methods stand apart from previous systems in many ways. Most existing artificial intelligence systems merely rank choices in order returning the winner to the user. The new patented method provides additional analysis for better outcomes. First the choices go through a comparative evaluation. For example, rather than reporting solution A ranked highest and stopping there, the program ranks all solutions against each other comparatively with a result that while some choices may look better than another, they stand close enough that the user should also examine them as alternative options. The system also conducts a qualitative analysis to determine the independent value of the selections. This allows the user to understand the importance of the output. In some cases the results from the software might represent the perfect answer. In other cases the program identifies the best outcome, but knows enough to alert the consumer that the choice merely represents the best out of a group of bad options where all rank as unacceptable.

To think of the whole concept in a basic way, which also differentiates it from prior artificial intelligence programs, the new patented method operates as an expert. Some artificial intelligence programs allow the user to make decisions they already know how to make, but faster and in greater volumes, yet only with the expertise that they bring to the table in the first place. This new system acts as the expert, with a purpose of potentially suggesting options that the user never knew existed using methods well beyond their comprehension. Yet, consumers should not think of the program as legal advice or substitute it for legal advice about their debt. Rather they should use it to become informed about solutions and a more educated customer when engaging a debt professional, like a lawyer to complete the debt elimination task.

The system offers suggested solutions without any cost, obligation or further contact, the consumer must pick up the ball from there to take any action including reading articles offering more free debt information. The systems ten potential solutions include credit card debt settlement, non-profit credit counseling, chapter 13 bankruptcy and chapter 7 filing amongst others.

Most people deep in debt trouble dont even know ten solutions exist to deal with their credit card debt or medical debt, let alone which method suits their personal financial situation. With this free system consumers can learn about the next steps to take in the privacy of their own home without any cost, obligation or contact from service providers unless the consumer specifically initiates it.

About Partners In Charity And Financial Firebird Corporation

For 12 yrs now Partners In Charity has helped thousands of American home owners every year. PIC provides hands on home owner counseling, construction, & education. Most services are FREE of Charge, all services to struggling home owners struggling home owners are Free, including crisis budget counseling. We continue our daily mission to build & rehab homes for our veterans & seniors.

Financial Firebird Corporation provides unbiased consumer information, software and marketing services for the mortgage lending, debt, foreclosure, auto lending, personal budgeting, and other financial, travel or real estate related industries as well as basic marketing, financial and website services for all companies. Established 2000 and a proud BBB member.

Radio stations interested in promoting the system may participate in the PSA program by airing the attached spot. Those interested in licensing the patented system or purchasing other rights may contact Financial Firebird Corporation.

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Debt Advice Software, Offered To Consumers At No Cost, Marks The First Use Of A Newly Patented Artificial Intelligence ...

legstest Blender Game Engine: NN/GA Artificial Intelligence quadruped test02 – Video

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legstest Blender Game Engine: NN/GA Artificial Intelligence quadruped test02
Neural Network with Genetic Algorithm coded in cython and used in Blender game engine. A Artificial Intelligence algorithm that be able to learn by itself. In this test quadruped try to learn...

By: PyroEvil

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legstest Blender Game Engine: NN/GA Artificial Intelligence quadruped test02 - Video

Playing the contra adventure (pt 1) using Human-Level Artificial Intelligence – Video

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Playing the contra adventure (pt 1) using Human-Level Artificial Intelligence
http://www.humanlevelartificialintelligence.com This video shows a robot playing a PS1 game called the contra adventure. There are no sound in parts of the v...

By: electronicdave2

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Playing the contra adventure (pt 1) using Human-Level Artificial Intelligence - Video


  1. Artificial Intelligence