One Article Review
| Source |  NoticeBored |
|---|---|
| Identifiant | 4865572 |
| Date de publication | 2022-05-29 09:50:29 (vue: 2022-05-28 22:05:55) |
| Titre | Algo-rhythmic infosec |
| Texte |  An article by the 50-year-old University of York Department of Computer Science outlines algorithmic approaches in Artificial Intelligence. Here are the highlights:Linear sequence: progresses directly through a series of tasks/statements, one after the other.Conditional: decides between courses of action according to the conditions set (e.g. if X is 10 then do Y, otherwise do Z).Loop: sequential statements are repeated. Sequential statements are repeated.Brute force: tries approaches systematically, blocking off dead ends to leave only viable routes to get closer to a solution.Recursive: apply the learning from a series of small episodes to larger problems of the same type.Backtracking: incrementally builds a data set of all possible solutions, retracing or undoing/reversing its last step if unsuccessful in order to pursue other pathways until a satisfactory result is reached. Greedy: quickly goes to the most obvious solution (low-hanging fruit) and stops. Dynamic programming: outcomes of prior runs (solved sub-problems) inform new approaches. Divide and conquer: divides the problem into smaller parts, then consolidates the solutions into an overall result.Supervised learning: programmers train the system using structured data, indicating the correct answers. The system learns to recognise patterns and hence deduce the correct results itself when fed new data.Unsupervised learning: the system is fed unlabeled ('raw') input data that it autonomously mines for rules, detecting patterns, summarising and grouping data points to describe the data set and offer meaningful insights to users, even if the humans don't know what they're looking for.Reinforcement learning: the system learns from its interactions with the environment, utilising these observations to take actions that either maximise the reward or minimise the risk.Aside from computerised AI, we humans use similar approaches naturally, for instance when developing and implementing information security policies:Linear sequence: start with some sort of list of desireable policies, sorted in some manner, working down from top to the bottom. |
| Envoyé | Oui |
| Condensat | i about according accordingly action actions activities adopt adopting after algo algorithmic algorithms:reconsider all allow already alternative among analyse answers any apply applying approach approaches are article artificial aside autonomously avoiding back backtracking: bad basic batch being bend best better between bit blocking blog bloke bother bottom break broadly brute building builds business can capable capture carve closely closer clues commission commonplace complementary completed complex computer computerised conditional: conditions conquer: consider consolidates controls corporate correct courses current daily data dead decide decides deduce deliberately department departments describe desireable despite detecting develop developing development different difficult directly discover distant distinguish divide divides document doing don down draft drop dynamic each effective effectiveness efficient either ends environment episodes error etc even evolve example expert experts: explore extent fact fed feedback figure figured force: formats from fruit functions fundamental further future generate get goes good gradually greedy: grouping guidance guidelines hanging has have hence here highlights:linear hinting hope hot how humans humdrum ideally identify identifying illustrative implementing implicit/explicit improve improvement incrementally indicating individual inform information infosec input insights inspired instance intelligence interactions issues: its itself just keep know landscape larger last lateral learn learning learning: learns learnt least leave let line list look looking loop: low lowly mandating manner mature maximise meaningful meanwhile measure mentoring mindlessly mines minimise modifying moment more most move multiple naturally necessary new next normally not novel objective/s observations obvious odd off offer old one ones only opportunities opportunity opposed order organisation other otherwise ourselves out outcomes outlines over overall oversight own parts pathways patterns people perhaps periodic piece pilot plagiarise plain plans point points policies policies:linear policy possible prepare preparing prior priorities proactively problem problems procedures process programmers programming: progresses progressing published purchase pursue quality quickly quiet radically random raw reached ready recognise reconsider recursive: refining reflection reinforcement related relative repeated repeatedly result results retracing review reviews/audits reward rhythm rhythmic risk robots rough routes routine rules rules: runs safe same satisfactory science searching security sequence: sequential series set similar simple simply single situation small smaller solicit solution solutions solved some someone soon sort sorted spot stabilising stakeholders standardise standards start starting statements steal step stops straightforward structured study stuff styles sub such suggested suite summarising supervised supervision system systematically take tasking tasks tasks/statements teams technical than them then these they think thinking through time too top topics train training trial tries trust trying type ugly underlying undoing/reversing unit units university unlabeled unsuccessful unsupervised until use useful users using utilising various viable watching way ways what whatever when whether which who whole widely wiki will within work working worth year yet york your yourself |
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