Artificial consciousness Artificial consciousness (AC), also known as machine consciousness (MC) or synthetic consciousness (Gamez 2008; Reggia 2013), is a field related to artificial intelligence and cognitive robotics whose aim is to "define that which would have to be synthesized were consciousness to be found in an engineered artifact" (Aleksander 1995). Neuroscience hypothesizes that consciousness is generated by the interoperation of various parts of the brain, called the neural correlates of consciousness or NCC. Proponents of AC believe it is possible to construct machines (e.g., computer systems) that can emulate this NCC interoperation. Artificial consciousness can be viewed as an extension to artificial intelligence, assuming that the notion of intelligence in its commonly used sense is too narrow to include all aspects of consciousness. Philosophical views of artificial consciousness As there are many designations of consciousness, there are many potential types of AC.
Singularity: Artificial Intelligence Will Kill Our Grandchildren DRAFT 9 Dr Anthony Berglas January 2012 Anthony@Berglas.org (Copy at will but provide attribution) Abstract There have been many exaggerated claims as to the power of Artificial Intelligence (AI), but there has also been real progress.
How Science Turned a Struggling Pro Skier Into an Olympic Medal Contender - Wired Science Saslong.org/R.Perathoner Steven Nyman is poised at the starting gate, alert, coiled, ready. A signal sounds: three even tones followed by a single, more urgent pitch, sending Nyman kicking onto the Val Gardena downhill ski course. He pushes five times with his poles, accelerating as quickly as possible, stabbing the snow frantically. He skates forward with abbreviated strokes, neon green boots moving up and down, his focus on building as much momentum as possible. Nyman is feeling good.
Artificial General Intelligence (AGI) "Within thirty years, we will have the technological means to create superhuman intelligence. Shortly after, the human era will be ended. Evolvable hardware Evolvable hardware (EH) is a new field about the use of evolutionary algorithms (EA) to create specialized electronics without manual engineering. It brings together reconfigurable hardware, artificial intelligence, fault tolerance and autonomous systems. Evolvable hardware refers to hardware that can change its architecture and behavior dynamically and autonomously by interacting with its environment. Introduction Each candidate circuit can either be simulated or physically implemented in a reconfigurable device.
DREAM-LOGIC, THE INTERNET AND ARTIFICIAL THOUGHTBy David Gelernter What does it mean to think? Can machines think, or only humans? These questions have obsessed computer science since the 1950s, and grow more important every day as the internet canopy closes over our heads, leaving us in the pregnant half-light of the cybersphere. The bacteria that turns water into ice Meet Pseudomonas syringae, a bacterium that causes disease in plants and helps make snow machines work. It all has to do with ice nucleation — the process that forms ice crystals in the atmosphere and, thus, snow. You probably know that raindrops and snowflakes form around something. There's always a central nucleus that serves as the backbone of the water molecule structure. Usually, when people talk about this process, they use soot or some other kind of particulate matter as the example of what a nucleus can be. But bacteria can also become the nucleus of a snowflake.
Artificial general intelligence Artificial general intelligence (AGI) is a hypothetical artificial intelligence that demonstrates human-like intelligence – the intelligence of a machine that could successfully perform any intellectual task that a human being can. It is a primary goal of artificial intelligence research and an important topic for science fiction writers and futurists. Artificial general intelligence is also referred to as "strong AI", "full AI" or as the ability to perform "general intelligent action". AGI is associated with traits such as consciousness, sentience, sapience, and self-awareness observed in living beings. Some references emphasize a distinction between strong AI and "applied AI" (also called "narrow AI" or "weak AI"): the use of software to study or accomplish specific problem solving or reasoning tasks.
Hugo de Garis Hugo de Garis (born 1947, Sydney, Australia) was a researcher in the sub-field of artificial intelligence (AI) known as evolvable hardware. He became known in the 1990s for his research on the use of genetic algorithms to evolve neural networks using three-dimensional cellular automata inside field programmable gate arrays. He claimed that this approach would enable the creation of what he terms "artificial brains" which would quickly surpass human levels of intelligence. He has more recently been noted for his belief that a major war between the supporters and opponents of intelligent machines, resulting in billions of deaths, is almost inevitable before the end of the 21st century.:234 He suggests AIs may simply eliminate the human race, and humans would be powerless to stop them because of technological singularity. De Garis originally studied theoretical physics, but he abandoned this field in favour of artificial intelligence.
Adaptive Artificial Intelligence Inc.-Research Real A.I. Intro Introduction This is a book chapter written by Peter Voss and published in "Artificial General Intelligence" - Goertzel, Ben; Pennachin, Cassio (Eds). Written in 2002, this describes the foundation of our project: the low level, conceptual underpinnings that remain an important functioning part of our current more advanced research. Note that many crucial aspects of our current working model of higher-level intelligence are not explicitly detailed in the book chapter that follows below, or were developed after the chapter was written. Peter Voss is an entrepreneur with a background in electronics, computer systems, software, and management.
Is the Universe a Simulation? Photo Gray Matter By EDWARD FRENKEL IN Mikhail Bulgakov’s novel “The Master and Margarita,” the protagonist, a writer, burns a manuscript in a moment of despair, only to find out later from the Devil that “manuscripts don’t burn.” While you might appreciate this romantic sentiment, there is of course no reason to think that it is true. Nikolai Gogol apparently burned the second volume of “Dead Souls,” and it has been lost forever.
Belief–desire–intention software model The belief–desire–intention software model (usually referred to simply, but ambiguously, as BDI) is a software model developed for programming intelligent agents. Superficially characterized by the implementation of an agent's beliefs, desires and intentions, it actually uses these concepts to solve a particular problem in agent programming. In essence, it provides a mechanism for separating the activity of selecting a plan (from a plan library or an external planner application) from the execution of currently active plans. Consequently, BDI agents are able to balance the time spent on deliberating about plans (choosing what to do) and executing those plans (doing it).