universal-life-protocol-core/clarion-mdu-agent.d.ts

Revolutionary AI framework implementing living, conscious digital reality with meta-cognitive reasoning, attention economics, and autonomous learning

import { WeightedMduState, ExplicitRule } from "./types.js";
import { CuePeer } from "./cue-peer.js";
/**
 * Models an intelligent agent native to the ULP, based on the CLARION-MDU Synthesis.
 */
export declare class ClarionMduAgent {
    id: string;
    private peer?;
    private acs;
    private ms;
    private mcs;
    constructor(id: string, peer?: CuePeer);
    /**
     * The core learning loop: moving from implicit experience to explicit knowledge.
     * This represents the bottom-up learning process from A-cycle to L-transition.
     */
    learnFromExperience(prevState: WeightedMduState, action: string, reward: number, nextState: WeightedMduState): void;
    /**
     * The agent decides its next action, influenced by both explicit rules and implicit goals.
     */
    decideNextAction(currentState: WeightedMduState, possibleActions: string[]): string;
    /**
     * Get the Meta-Cognitive Subsystem for external access
     */
    getMCS(): {
        activeBases: Map<string, number>;
        reconfigureBases: (context: string, newBase: number) => void;
    };
    /**
     * Get the current implicit action knowledge (Q-values)
     */
    getImplicitKnowledge(): Map<string, {
        [action: string]: number;
    }>;
    /**
     * Get all explicit rules learned by the agent
     */
    getExplicitRules(): ExplicitRule[];
    /**
     * Set the peer reference (for late binding)
     */
    setPeer(peer: CuePeer): void;
}
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