CAN COMPUTERS THINK? THE CASE FOR AND AGAINST A I Artificial intelligence has been the subject of many bad "80's" movies and countless science fiction novels. But what happens when we seriously consi

CAN COMPUTERS THINK? THE CASE FOR AND AGAINST A I Artificial intelligence has been the subject of many bad "80's" movies and countless science fiction novels. But what happens when we seriously consi

$0.69

" "80's" "Bread "Our "Programs "Studies "Without "bottom-up "could "if "merely (4-2), (54) (57) (Colvin, (Discover, (Hempel, (Henpel, (PwC), (Time, (Useem, (a (as (hereafter (i.e. (or 1. 106) 1994 2. 200 2012). 2018), 2018). 2019), 2019). 3. 32 32-bit 55) 57) 9th A AGAINST AI AI's AI) AND According After All Also, Although America America. An And Artificial As At Batman Before Blue Blue, Brooks Brooks's But But, By CAN CASE CEO CEO. COMPUTERS CYC CYC. Coca-Cola Cog Cog. Company, Compared Deep Desktop Dibbell, Discover, Douglas Examining FOR Finally, For Fred Garry Ginni Guterl, He How I IBM IBM, IBM’s IT In Indeed, India Indian Indra Inspired Instead, Is It John Julian Kasparov Kasparov, Lenat Lenat. M.B.A M.I.T. None Nooyi Nooyi, On PepsiCo PepsiCo, PricewaterhouseCoopers' Put PwC PwC’s Robert Rodney Rometty Rometty, Searle Seeking She Since So So, Someone Staying Superman THE THINK? Thank The Their This Thought Time Time, US University, Using WOMAN WWW What What’s When Wright Yale a ability about abstract accuses achieve achievements achieves achieving across actual actually adamant adapt address address. adjustments advantages advocates afraid against ahead”, aimlessly airplane all allowing already also although among amount amounts an and another answer answer? answered any approach. approaches, are are: argument arm, article artificial as at attempts attract avenues average aware baby back bad based be beat became because become becomes becoming been being best between beyond big biological both bother bottom-uppers bound boys. brain brain. bring brought brute building business business. businesswoman but by called came cameras can can, candidate capable career career. cash cat catch challenge challenge, champion chance chance. changed, changes. chess chief child choosing circumstances combined comfortable common companies companies, companies. company compelling compensation competing completing complex complicated comprehend computer computers conclusion, conjure conquer consciousness. conservative consider consideration considers consulting contained contested contributing control correspond costumers. could countless courage create created critical criticisms crying culture cultures dare data-has daughter deal deals debate debates decided decisions decisions. decreased deductions. describes desire developed different difficulties difficulty dilemma. directly distant do does does, doesn't doesn’t don't down during early earning edge effective effectively efforts eight elements eliminate email emotions, employees employees, encourage encouraging end, end. endeavor, endeavor. enough entirely. environment. establish even event eventually ever every everybody everyone, evidence evolution. exactly examining example, examples excellent executive executives executives’ exist exist; expectation experience experience, experience. experienced explained explains. explored. eyes, face faced facilities facing familiar family father feeding feel feel-I fiction field field." finally, find finding fire first five fly follows food.") for force force, foresight forwards fought found four from future. gain gained game game), gender. generates go goal goals good gradually great greatly guilty. had halfway hand happens happy hard hard, has have have. he help helped her her. his hit homo hope hopes hotly how human ideas ideas. identify if images imperial. impressive, in including increase independent influenced influences input, instead intelligence intelligence. intelligence? intents interact." interrupted interviewing into intuition intuitively investigate investment involving is is. issue it it, it. its itself, joining joke kind know knowledge lacked lead leadership leadership. leap learn learned leave legitimacy? legitimate less like lives, logical look looks lost lot lots made main make makes making man man's manage many markets marry match matches material meaning means member membrane. men. meowing? methods microprocessors microprocessors. million mix more more, most mother mother, moves moves. movies must mystical named nearby necessary need neither network neurons neurons? never new nicknamed no nor not nothing novels. now now, of offers oldest on one oneBUSINESS ones, only options or order other others our out over overcame own paid pandemonium, paper parents parents’ part partners partners, people people. perceptual perform person phenomena philosopher phone pick picture pictures planned play player players points position position, position." possibility possible possible. pre-pubescent preferred previous prior problems products products. professor profits program program's programming programs projects, prompted public purchase purposes, put qualities question question, questions quickly race raised rapidly rare re-creating reaching reader reality. realized really recognizes, recreate reigning related relaxing religions. reprogramming reputation. resolved respect respected respectful response result rules said said. salaries sapien) sapien? satisfied. save say say, school. science scientist scientist, scientists scrutiny second. see seek seemed semantics." sense sensory separate seriously settle share she shift should should). show showed shown side significant similarities simple since single sits six skill skin-like slew small, smell- so software sold some somebody’s soon sort soul sounds, specific spirits statements states stay stayed step stimuli? stock strict strong structures struggle. studying subconsciously subject succeed. success. successful such supercomputer support symbols symbols. symbols." syntax table." take-all taking talent task task. technology tell than that the their them theories theory theory-the there these they things." think, think. think? thinking thinking. this those thought thought. thoughts, threatened three through thus thus: time time, to top tough true. trust try trying two type typical ultimate understanding university unprovable up updated use uses usually very via vision? walk wandering wanted was watching waving way way, ways we well were what what's when where whether which while who whole wholly will winner- winning wise with without woman women women, won words, work, worked, working world world, world. would would. wouldn't wrested write writer writing you you're you. your ‘winning' “IBM’s

Add To Cart

CAN COMPUTERS THINK? THE CASE FOR AND AGAINST A I

Artificial intelligence has been the subject of many bad "80's" movies and countless science fiction novels. But what happens when we seriously consider the question of computers that think. Is it possible for computers to have complex thoughts, and even emotions, like homo sapien? This paper will seek to answer that question and also look at what attempts are being made to make artificial intelligence (hereafter called AI) a reality.

Before we can investigate whether or not computers can think, it is necessary to establish what exactly thinking is. Examining the three main theories is sort of like examining three religions. None offers enough support so as to effectively eliminate the possibility of the others being true. The three main theories are: 1. Thought doesn't exist; enough said. 2. Thought does exist but is contained wholly in the brain. In other words, the actual material of the brain is capable of what we identify as thought. 3. Thought is the result of some sort of mystical phenomena involving the soul and a whole slew of other unprovable ideas. Since neither reader nor writer is a scientist, for all intents and purposes, we will say only that thought is what we (as homo sapien) experience.