there are already some Go programs around that can beat most people - but not one (yet) than can explain what it is thinking about in natural language.
one reason is that the current crop of Go programs don't "think" like people - the best they could do is walk a few moves through a few branches of the move tree that they envisage, but then they can't say what they "see" at any stage, because they do not "see" structured objects like groups of stones. HALy <https://www.youtube.com/watch?v=UZa2cklrj20&index=4&list=PL4y5WtsvtduqNW0AKlSsOdea3Hl1X_v-S> does. It builds a hierarchically-structured conceptual model "mental image <https://www.youtube.com/watch?v=yTi6R-tP1Go&index=3&list=PL4y5WtsvtduqNW0AKlSsOdea3Hl1X_v-S>" of the state of the game, which is readily expressed in natural language, because its conceptual model builds structures that are identical to those of natural language [1]. Or rather, it will, once someone turns my pie in the sky better mousetrap design into software. It would require a team of several programmers, each with special expertise in a particular domain, such as computer vision (to be able to see the stones on the board), hand/arm manipulation (to be able to place a stone - possibly using magnets to hold and release a stone as high precision is required for placement), improved proprioception (so it doesn't overbalance when it leans over the board), and two more modules (the hardest parts to program): A: the *thinker*, comprising: 1. conceptual structure recogniser, which creates conceptual constructs such as stone groups and their strength (probability of life), potential territories (which requires an "edge detector" to identify empty regions bounded by stones belonging to probably strong groups; hence edge detection is a recursive procedure), weak (cutting) points, and urgent or big points identified by heuristic search. 2. plan generator, to identify strategic objectives such as 'strengthen this group', 'invade (or reduce) that moyo', etc 3. tactics generator, which would perform brute-force monte-carlo search within the "fovea" - a small subarea of the board delimited by edges perceived by (1), to create move candidates. 4. chooser, which would decide between move candidates that satisfice [2] identified strategic objectives using a simple static evaluation function to assess the balance of power in the game based on counting potential territories and a scoring function for evaluating group "vulnerability". B: the *talker*, comprising a chatbot-style [3] sentence fragment expresser of conceptual structure fragments. the talker would be able to explain HALy's thinking, but unable to sensibly answer arbitrary questions as that would require many years of r&d to bring it to market. It could, however, say what HALy thinks about move suggestions. C: the *emoter*. This is the killer-app, the one that will attract the attention of the media and the public, and start a chain reaction in people's attitudes towards themselves and to machines, and turn over the tables of hubristic armchair philosopher-priests who ignorantly witter on about qualia and consciousness based on what they see when they gaze up their own anae [4]. Yet, ironically, it is the easiest one to program! The emoter uses KISMET-style [5] routines to express its feelings through body language, voice tone and facial gesture - oh no, sorry, NAO doesn't have a movable face... yet. HALy's emotions are very simple, based on changes in the value of the static evaluation function from one move to the next: big swing up = happy .. arms up big swing down = sad .. head down win = content .. polite bow "arigato gozaimashita" lose = angry .. smashes its hand onto the board and yells "stupid game!!" It may be possible to implement HALy in NAO SDK [6] plus a few specialised modules written in raw code. It is likely that HALy would require more computing power than will fit into NAO's head [7] so most of the work would be done by a processor cluster connected to NAO by wifi. [1] The Natural Topology of English by David Brown :: SSRN <http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2205530> [2] http://www.psych-it.com.au/Psychlopedia/article.asp?id=184 <https://www.youtube.com/watch?v=yTi6R-tP1Go&index=3&list=PL4y5WtsvtduqNW0AKlSsOdea3Hl1X_v-S> [3] http://brilligunderstanding.com/technology.html <http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2205530> [4] http://open.live.bbc.co.uk/mediaselector/5/redir/version/2.0/mediaset/audio-nondrm-download/proto/http/vpid/p02qjlfr.mp3 [5] http://www.ai.mit.edu/projects/humanoid-robotics-group/kismet/kismet.html [6] https://www.aldebaran.com/en/robotics-solutions/robot-software/development [7] https://www.aldebaran.com/sites/aldebaran/files/nao_datasheet.pdf <http://www.ai.mit.edu/projects/humanoid-robotics-group/kismet/kismet.html> <http://open.live.bbc.co.uk/mediaselector/5/redir/version/2.0/mediaset/audio-nondrm-download/proto/http/vpid/p02qjlfr.mp3> djh brown -- http://sites.google.com/site/djhbrown2/home https://www.youtube.com/user/djhbrown
_______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
