Reputation Algorithms for Self-Sovereign Data Issues and Technical Directions Samuel M. Smith Ph.D.
Founder Xaltry sam@xaltry.com
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What is Self-Sovereign Data User Controlled and Managed Portable Identifiers & Attributes Decentralized (not in a silo)
What is Reputation Contextual Behavior Based Predictor of Future Behavior Measurement Scoring, Rating and Ranking Static vs Dynamic Feedback effects
Real persistently automated systems can have complex feedback loop topologies Sequenced loops . Concurrent loops Loops within loops £\ N | N J W/ '\ O\ | \J/ e f\ Conditional loops < N 0D v/ \V
Measurement Theory Scales
Nominal (Labeled but not ordered) Ordinal (Labeled and Ordered)
aggregation operations: median, mode Interval (Ordered with Distance)
aggregation operations: median, mode, mean and moments about mean, std) Ratio (Distance with True Zero)
aggregation operations: all
Uncertainty Imprecision (Possibility Measures and operators) Randomness (Probability Measures and operators) Ambiguity (Similarity Measures and operators) Hybrid (mixtures of imprecision, randomness, and ambiguity)
Symmetric Multiple Elastic Constraints Symmetic Conventonal Botn goals and constraint ae expressed it lasc consirains
Crs constalis (nerval) pusoblecthvo iction®) | Bocion making conist o1 nang e conuenas of goas and
4 Y criep constraints by aggregating the respective membership functions.
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State Space 5 State of Nature . uEU State of nature €U state space decision aliemative. € decison space fiteria Space: & X Shacss setof citeria € defined on X = (X,...X.} citeri spaces p Xy X, 0 - : Criteria Decision SPace. o consiainiG; = constaint on “erteria space Alternatives ; = Relations NS memberstip fonction e, (5): X, = 10.1) o . 11' M= X M,:Q = X, relation between decision space and i criteria space. .lll €, induces a consteint B, on @ through M .'!};= It M= i) 85, %= m(©) Then .—'l o, (W)= 1t (1) = pic @) Yo R mi @28 1011 e, (0%, 101 1 e il deisony ogrgatingconins Gl o on oot B ()= AUy ()05 (©).c i, (D), @) ey e e, (5): X, = 10.1] () 8101
Symmetry Enables Networks of Elastic Constraints Layered pren e - Inpornce g . I I - Revner Inputs. FI — Vaes LT I e vae oxcur] Ocicr| \Dsisen e N - 7 | } ] Contgence v i i | Fas , e L occsor e At =
Decision Trajectory Based Optimization Predictive discrete event simulation with machine learning to encode high level reasoning, strategy and tactics. [ S—— ’"‘Tfl' Case Base of Decsion Trajeckry Patems. K > E)-~ & . B = - P mp— E - e whe s HIES - "4 S Fasdrt N P -] = P ( Sotn Solton
Openness Open Data Open Algorithms
Aplatformis a business based on enabling value-creating interactions between external producers and consumers.
A platform provides an open, participative infrastructure and sets governance conditions for these interactions. Aplatform consummates matches among users that facilitate the exchange of goods, services, or social currency, thereby enabling value creation or co-creation for all participants.
Aplatform s the antithesis of a pipeline.
( See Platform Revolution 2016, Platform Scale 2015)
Platforms vs Pipelines A pipeline is a business that directly creates and moves value from ... producers at one end to consumers at the other end. Platforms eat pipelines because platforms unlock new sources of value creation and supply not-even-mine replaces just-in-time Primary activity shifts from ... internal mechanisms of control of the value chain to... external orchestration/coordination of interactions between third parties
Enablement Platforms disintermediate pipelines Distributed network computation enables platforms Distributed consensus enables trustworthy platforms Governance matters Super-efficient re-intermediation with distributed Al for platform scaling
Single-Sided Network Effect + Network + More consumers increases value which attracts more consumers Demand side driven
, / \ { / \ / more consumers drive demand which attracts more producers more producers drive supply which attracts more consumers
yd / N 7 FasterPickups Uber N f | ; \ / o | Higher Coverage/Saturation |+
R o e T N e J/ More supply choice increases friction e.g. customer confusion in producer selection thereby decreasing demand More demand choice increases friction e.g. producer failure in customer satisfaction thereby decreasing supply
Reputation Driven Interaction Graduated Participation Interfaces P BR 'fl'//'it\\ F ) Y
Platform that facilitates two-sided network effects across and amongst other platforms Portable Reputation is a candidate meta-platform Contextual Transitive + * I ™ / \ N\ — . AN J i | atorm v . 7 = ESN L 7 / . . yd yd N B -
Match + Filter = Curation Reduces negative cross network effects Enhances positive cross network effects Essential enabling capability for any platform | & Ppartidpants | Curation is applied reputation + + ’ < / \ pym— Paton o . //
Platform Business Model Supply economies of scale (production efficiency) replaced with
Demand economies of scale (network effect multipliers of value) Two-sided network effects Core Interaction = Participants + Value unit + Filter Platform = pull + match + facilitate
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