"The construction of computer programs that simulate aspects of social behaviour can contribute to the understanding of social processes."
– Nigel Gilbert. Computational Social Science: Agent-based social simulationCentre for Research on Social Simulation, University of Surrey. Guildford, UK. 6 November 2005; revised and updated 20 May 2007.
For years, marketers have talked about brands as having personalities. Now they have the tools to bring those brands to life – virtually at least. Rapid developments in artificial intelligence (AI) are being combined with Academy Award-winning animation skills to create virtual humans that are the closest yet to flesh and blood. And for brands, that offers the opportunity to put a very human-looking face on a corporate body. One of the latest iterations of these virtual humans comes from Auckland-based company, Soul Machines, whose co-founder and CEO, Mark Sagar's ground-breaking work in computer-generated faces on films, King Kong and Avatar, was recognised with consecutive Oscars.
Should Artificial Intelligence strive to model and understand human cognitive and perceptual systems? Should it operate at a more abstract mathematical level of characterizing possible intelligent action, independent of human performance? Or, should it focus on building working programs that exhibit increasingly expert behavior, irrespective of theoretical or psychological conccrlls? These questions lie at the heart of most current, debate on whether AI is a science, an art, or a new branch of engineering In fact, some researchers believe it is all three and consequently build systems that perform some interesting task, arguing for the "theoretical significance" and "psychological validity" of the approach. In fact, it assumes the cognitive psychology paradigm as central and suggests that AI research would benefit from closer adherence to the data and methods of psychological research We welcome contributions in support of other research methodologies in AI, as well as discussions com-Rcscarch for this paper was conducted at the LJniversity of Chicago Center for Cognitive Science under a grant.
It is 1955, and in the corridors of RAND (Research and Development) Corporation, America's non-profit global policy think-tank, a printer is printing out a map using punctuation marks and symbols. Maybe, but it was also the moment that inspired the development of a phenomenon that is touted be the fundamental determinant of future societies - Artificial Intelligence. Herbert A. Simon, a political scientist, Allen Newell, a researcher in computer science and cognitive psychology and Cliff Shaw, a programmer par excellence, came together after that fateful moment of observing the printer. Simon realized a machine's manipulative capabilities that could simulate decision making, akin to the process of human thought. Thus began their journey to create the Logic Theorist, a program engineered to mimic the problem-solving skills of a human being which are also revered as'the first artificial intelligence program.'
While there is a considerable amount of market buzz relating to Artificial Intelligence (AI) these days, does the hyperbole amount to a real operational transformation, or does today's noise just end up representing a'nothingburger' when it comes to creating an ERP value? To answer that question let's first consider what AI actually is: According to Merriam-Webster'Artificial Intelligence' is defined as: "A branch of computer science dealing with the simulation of intelligent (human) behavior in computers; or the capability of a machine to imitate intelligent human behavior." In this context, then, systems that tout'ERP AI' may be just a couple of bridges too far when it comes to operational legitimacy, since in nearly all cases it appears that little or no simulated'human behavior' is really involved. Instead, today's complex ERP systems leverage hosts of manually-developed scripts that, in turn, connect and interact with clusters of databases to identify, catalog, and index other data-sets, that become'information' repositories for the user. However, if an enterprise script developer makes an error when defining or identifying linear data requirements regarding a particular code effort, that failure can cascade through the system, leading to malformed results or worse.
Telltale's original Walking Dead game was special, blending a gut-wrenching storyline with interesting, believable characters. Five years and two seasons later (four if you count 400 Days and Michonne) the adventure has started to show its age. So for The Walking Dead Collection -- a new bundle that launches on December 5th -- the developer has given everything a visual upgrade. To explain the changes, Telltale has released a video comparing the two versions during a pivotal scene -- Lee and Clementine's first meeting. At first, the differences might seem small.
As climate change continues to cause a reduction in Arctic sea ice and overall ice cover in the polar region, the already threatened polar bears are beginning to display highly unusual behavior. Largely solitary animals in their adult life, dozens of them were seen together recently on an island in northeast Russia. A tourist boat passing by Wrangel Island, off the coast of Chukotka in Russia's Far East, saw over 200 polar bears on a mountain slope on the island. Dozens of the animals were seen at the bottom of the slope, eating the carcass of a bowhead whale that had washed ashore. The incident took place in September, but wasn't widely reported at the time.
The Digital Human League, for example, recently unveiled'Digital Mike' – an artificial likeness of producer Mike Seymour. The idea, Digital Mike explains in a promo video, is'to produce a virtual human, and not only a virtual human, but one rendered in real time – puppeteered or driven in real time, rendered in real time, and not only that, at 90 frames per second, in stereo, in VR.' In a new study, researchers from Oxford University's Future of Humanity Institute, Yale University, and AI Impacts surveyed 352 machine learning experts to forecast the progress of AI in the next few decades. The idea, Digital Mike explains in a promo video, is'to produce a virtual human, and not only a virtual human, but one rendered in real time – puppeteered or driven in real time, rendered in real time, and not only that, at 90 frames per second, in stereo, in VR' A study from Oxford University's Future of Humanity Institute, Yale University, and AI Impacts released this past spring concluded that in less than 50 years, AI will beat humans at everything from language translation and truck driving to writing high-school essays.
I've written a few times recently about the initial forays of IBM's Watson into retail. Both are good examples of the use of AI to help provide more accurate predictions of the things we prefer. Likewise, it doesn't suppose that individuals may like just one item, or even items in a single group, at a particular time. Article source: AI and attempts to model human behavior.
With the rise of the Internet of Things (IoT) and smart, connected devices, testing becomes a far more complex and dispersed endeavor. Machine learning bots that analyze test data are touted as the next big thing for QA. For instance, we deployed a robotic QA solution to help a UK energy provider to adequately test its home automation system without human intervention. The bot simulated human actions to test devices in a connected, smart home ecosystem.
The study leaders aim to recruit 10,000 New Yorkers interested in advancing science by sharing a range of personal information, from cellphone locations and credit-card swipes to blood samples and life-changing events. Researchers hope the results will illuminate the interplay between health, behavior and circumstances, potentially shedding new light on conditions ranging from asthma to Alzheimer's disease. Researchers hope the results will illuminate the interplay between health, behavior and circumstances, potentially shedding new light on conditions ranging from asthma to Alzheimer's disease. Researchers hope the results of The Human Project will illuminate the interplay between health, behavior and circumstances, potentially shedding new light on conditions ranging from asthma to Alzheimer's disease