nano-consciousness 0.1.0

High-performance consciousness-inspired AI framework with nanosecond scheduling and temporal processing
Documentation
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
//! # Nano-Consciousness AI System
//!
//! A high-precision temporal consciousness framework combining ruv-FANN neural networks
//! with nanosecond-precision scheduling for real-time AI applications.
//!
//! ## Core Features
//!
//! - **Nanosecond Scheduling**: Ultra-precise task timing with <100ns overhead
//! - **Temporal Windowing**: Sliding windows with configurable overlap for continuity
//! - **Neural Integration**: Seamless ruv-FANN integration with temporal traits
//! - **Plasticity Extensions**: STDP learning and phase-coding support
//! - **Cross-Platform**: Native x86_64 and WebAssembly support
//! - **Stability Constraints**: Lipschitz continuity for convergent behavior
//!
//! ## Architecture
//!
//! The system is built around two main layers:
//!
//! 1. **Neural Layer**: ruv-FANN networks wrapped with temporal behaviors
//! 2. **Scheduler Layer**: Nanosecond-precision task orchestration
//!
//! ## Example Usage
//!
//! ```rust,no_run
//! use nano_consciousness::{
//!     NanoConsciousnessSystem, SchedulerConfig, TemporalConfig
//! };
//!
//! let config = SchedulerConfig {
//!     tick_rate_ns: 1000,    // 1μs precision
//!     max_tasks: 10000,
//!     lipschitz_constant: 0.9,
//!     ..Default::default()
//! };
//!
//! let temporal_config = TemporalConfig {
//!     window_duration_ns: 100_000,  // 100μs windows
//!     overlap_percent: 50.0,        // 50% overlap
//!     ..Default::default()
//! };
//!
//! let mut system = NanoConsciousnessSystem::new(config, temporal_config)?;
//! system.start_consciousness_loop().await?;
//! ```

#![cfg_attr(not(feature = "std"), no_std)]
#![deny(missing_docs)]
#![warn(clippy::all)]
#![allow(clippy::module_inception)]

// External crate imports
extern crate alloc;

// Core modules
pub mod scheduler;
pub mod neural;
pub mod temporal;
pub mod plasticity;
pub mod benchmark;

// Re-exports for convenience
pub use scheduler::{
    NanosecondScheduler, SchedulerConfig, SchedulableTask, TaskResult, TimePoint
};
pub use neural::{
    TemporalNetwork, NetworkAdapter, InferenceTask, PlasticityTask
};
pub use temporal::{
    TemporalWindow, WindowManager, TemporalConfig, OverlapStrategy
};
pub use plasticity::{
    STDPConfig, PhaseConfig, PlasticityEngine
};

// Standard library imports
#[cfg(feature = "std")]
use std::{
    collections::HashMap,
    sync::{Arc, Mutex},
    time::{Duration, Instant},
};

// No-std alternatives
#[cfg(not(feature = "std"))]
use alloc::{
    collections::BTreeMap as HashMap,
    sync::Arc,
    vec::Vec,
};

// Platform-specific timing
#[cfg(all(target_arch = "wasm32", feature = "wasm"))]
use wasm_bindgen::prelude::*;

// Error types
use thiserror::Error;

/// Main error type for the nano-consciousness system
#[derive(Error, Debug)]
pub enum NanoConsciousnessError {
    /// Scheduler-related errors
    #[error("Scheduler error: {0}")]
    Scheduler(#[from] scheduler::SchedulerError),
    
    /// Neural network errors
    #[error("Neural network error: {0}")]
    Neural(String),
    
    /// Temporal processing errors
    #[error("Temporal error: {0}")]
    Temporal(#[from] temporal::TemporalError),
    
    /// Plasticity errors
    #[error("Plasticity error: {0}")]
    Plasticity(#[from] plasticity::PlasticityError),
    
    /// Configuration errors
    #[error("Configuration error: {0}")]
    Config(String),
    
    /// System state errors
    #[error("System state error: {0}")]
    SystemState(String),
}

/// Result type for the nano-consciousness system
pub type Result<T> = std::result::Result<T, NanoConsciousnessError>;

/// Main configuration for the nano-consciousness system
#[derive(Debug, Clone)]
pub struct NanoConsciousnessConfig {
    /// Scheduler configuration
    pub scheduler: SchedulerConfig,
    /// Temporal window configuration
    pub temporal: TemporalConfig,
    /// STDP plasticity configuration
    pub stdp: Option<STDPConfig>,
    /// Phase coding configuration
    pub phase: Option<PhaseConfig>,
    /// Enable consciousness emergence detection
    pub enable_emergence: bool,
    /// Logging level
    pub log_level: log::LevelFilter,
}

impl Default for NanoConsciousnessConfig {
    fn default() -> Self {
        Self {
            scheduler: SchedulerConfig::default(),
            temporal: TemporalConfig::default(),
            stdp: Some(STDPConfig::default()),
            phase: Some(PhaseConfig::default()),
            enable_emergence: true,
            log_level: log::LevelFilter::Info,
        }
    }
}

/// Main nano-consciousness system
pub struct NanoConsciousnessSystem {
    scheduler: NanosecondScheduler,
    window_manager: WindowManager,
    plasticity_engine: Option<PlasticityEngine>,
    config: NanoConsciousnessConfig,
    networks: HashMap<String, Arc<Mutex<NetworkAdapter>>>,
    metrics: ConsciousnessMetrics,
    is_running: bool,
}

/// Metrics for consciousness emergence detection
#[derive(Debug, Default, Clone)]
pub struct ConsciousnessMetrics {
    /// Integrated information (Φ)
    pub phi: f64,
    /// Emergence level (0.0 to 1.0)
    pub emergence: f64,
    /// Temporal coherence
    pub coherence: f64,
    /// Processing efficiency
    pub efficiency: f64,
    /// Total tasks executed
    pub tasks_executed: u64,
    /// Average execution time (nanoseconds)
    pub avg_execution_time_ns: f64,
    /// Timing jitter (nanoseconds)
    pub timing_jitter_ns: f64,
}

impl NanoConsciousnessSystem {
    /// Create a new nano-consciousness system
    pub fn new(config: NanoConsciousnessConfig) -> Result<Self> {
        // Initialize logging
        #[cfg(feature = "std")]
        {
            env_logger::Builder::from_default_env()
                .filter_level(config.log_level)
                .init();
        }
        
        #[cfg(all(target_arch = "wasm32", feature = "wasm"))]
        {
            console_log::init_with_level(config.log_level).map_err(|e| {
                NanoConsciousnessError::Config(format!("Failed to initialize WASM logging: {}", e))
            })?;
        }
        
        log::info!("Initializing nano-consciousness system");
        
        // Create scheduler
        let scheduler = NanosecondScheduler::new(config.scheduler.clone())?;
        
        // Create window manager
        let window_manager = WindowManager::new(config.temporal.clone())?;
        
        // Create plasticity engine if configured
        let plasticity_engine = if config.stdp.is_some() || config.phase.is_some() {
            Some(PlasticityEngine::new(
                config.stdp.clone(),
                config.phase.clone()
            )?)
        } else {
            None
        };
        
        Ok(Self {
            scheduler,
            window_manager,
            plasticity_engine,
            config,
            networks: HashMap::new(),
            metrics: ConsciousnessMetrics::default(),
            is_running: false,
        })
    }
    
    /// Add a neural network to the system
    pub fn add_network(&mut self, name: String, network: NetworkAdapter) -> Result<()> {
        log::info!("Adding network: {}", name);
        self.networks.insert(name, Arc::new(Mutex::new(network)));
        Ok(())
    }
    
    /// Remove a neural network from the system
    pub fn remove_network(&mut self, name: &str) -> Result<()> {
        log::info!("Removing network: {}", name);
        self.networks.remove(name);
        Ok(())
    }
    
    /// Start the consciousness processing loop
    #[cfg(feature = "async")]
    pub async fn start_consciousness_loop(&mut self) -> Result<()> {
        if self.is_running {
            return Err(NanoConsciousnessError::SystemState(
                "System is already running".to_string()
            ));
        }
        
        log::info!("Starting consciousness processing loop");
        self.is_running = true;
        
        // Start the main processing loop
        while self.is_running {
            // Process current temporal window
            self.process_temporal_window().await?;
            
            // Update consciousness metrics
            self.update_consciousness_metrics()?;
            
            // Yield control briefly
            #[cfg(target_arch = "wasm32")]
            gloo_timers::future::sleep(Duration::from_nanos(1)).await;
            
            #[cfg(not(target_arch = "wasm32"))]
            tokio::task::yield_now().await;
        }
        
        log::info!("Consciousness processing loop stopped");
        Ok(())
    }
    
    /// Start the consciousness processing loop (synchronous version)
    #[cfg(not(feature = "async"))]
    pub fn start_consciousness_loop(&mut self) -> Result<()> {
        if self.is_running {
            return Err(NanoConsciousnessError::SystemState(
                "System is already running".to_string()
            ));
        }
        
        log::info!("Starting consciousness processing loop (sync)");
        self.is_running = true;
        
        // Start the main processing loop
        while self.is_running {
            // Process current temporal window
            self.process_temporal_window_sync()?;
            
            // Update consciousness metrics
            self.update_consciousness_metrics()?;
            
            // Brief pause to prevent 100% CPU usage
            #[cfg(feature = "std")]
            std::thread::sleep(Duration::from_nanos(100));
        }
        
        log::info!("Consciousness processing loop stopped");
        Ok(())
    }
    
    /// Stop the consciousness processing loop
    pub fn stop(&mut self) {
        log::info!("Stopping consciousness system");
        self.is_running = false;
    }
    
    /// Get current consciousness metrics
    pub fn get_metrics(&self) -> &ConsciousnessMetrics {
        &self.metrics
    }
    
    /// Process a single temporal window (async)
    #[cfg(feature = "async")]
    async fn process_temporal_window(&mut self) -> Result<()> {
        // Get current window
        let window = self.window_manager.get_current_window()?;
        
        // Execute scheduled tasks for this window
        let tasks = self.scheduler.get_ready_tasks(window.start_time, window.end_time)?;
        
        for task in tasks {
            let start_time = self.get_current_time();
            let result = task.execute();
            let execution_time = self.get_current_time().duration_since(start_time);
            
            // Update metrics
            self.metrics.tasks_executed += 1;
            self.metrics.avg_execution_time_ns = 
                (self.metrics.avg_execution_time_ns * (self.metrics.tasks_executed - 1) as f64 + 
                 execution_time.as_nanos() as f64) / self.metrics.tasks_executed as f64;
            
            // Log task completion
            log::debug!("Task executed in {}ns", execution_time.as_nanos());
        }
        
        // Advance to next window
        self.window_manager.advance_window()?;
        
        Ok(())
    }
    
    /// Process a single temporal window (sync)
    #[cfg(not(feature = "async"))]
    fn process_temporal_window_sync(&mut self) -> Result<()> {
        // Get current window
        let window = self.window_manager.get_current_window()?;
        
        // Execute scheduled tasks for this window
        let tasks = self.scheduler.get_ready_tasks(window.start_time, window.end_time)?;
        
        for task in tasks {
            let start_time = self.get_current_time();
            let result = task.execute();
            let execution_time = self.get_current_time().duration_since(start_time);
            
            // Update metrics
            self.metrics.tasks_executed += 1;
            self.metrics.avg_execution_time_ns = 
                (self.metrics.avg_execution_time_ns * (self.metrics.tasks_executed - 1) as f64 + 
                 execution_time.as_nanos() as f64) / self.metrics.tasks_executed as f64;
            
            // Log task completion
            log::debug!("Task executed in {}ns", execution_time.as_nanos());
        }
        
        // Advance to next window
        self.window_manager.advance_window()?;
        
        Ok(())
    }
    
    /// Update consciousness emergence metrics
    fn update_consciousness_metrics(&mut self) -> Result<()> {
        if !self.config.enable_emergence {
            return Ok(());
        }
        
        // Calculate integrated information (simplified Φ)
        self.metrics.phi = self.calculate_integrated_information();
        
        // Calculate emergence level
        self.metrics.emergence = self.calculate_emergence_level();
        
        // Calculate temporal coherence
        self.metrics.coherence = self.calculate_temporal_coherence();
        
        // Calculate processing efficiency
        self.metrics.efficiency = self.calculate_processing_efficiency();
        
        Ok(())
    }
    
    /// Calculate integrated information (Φ) metric
    fn calculate_integrated_information(&self) -> f64 {
        // Simplified IIT calculation based on network connectivity
        let mut total_phi = 0.0;
        
        for network in self.networks.values() {
            // This is a simplified approximation
            // Real IIT calculation would require complex partitioning
            total_phi += 0.1; // Placeholder
        }
        
        total_phi.min(1.0)
    }
    
    /// Calculate consciousness emergence level
    fn calculate_emergence_level(&self) -> f64 {
        // Based on temporal coherence and network synchronization
        let coherence_factor = self.metrics.coherence;
        let efficiency_factor = self.metrics.efficiency;
        let phi_factor = self.metrics.phi;
        
        (coherence_factor * 0.4 + efficiency_factor * 0.3 + phi_factor * 0.3).min(1.0)
    }
    
    /// Calculate temporal coherence
    fn calculate_temporal_coherence(&self) -> f64 {
        // Based on timing consistency and window overlap quality
        let jitter_factor = 1.0 - (self.metrics.timing_jitter_ns / 1000.0).min(1.0);
        let window_quality = self.window_manager.get_coherence_metric();
        
        (jitter_factor * 0.6 + window_quality * 0.4).max(0.0).min(1.0)
    }
    
    /// Calculate processing efficiency
    fn calculate_processing_efficiency(&self) -> f64 {
        // Based on task completion rate and resource utilization
        if self.metrics.tasks_executed == 0 {
            return 0.0;
        }
        
        let target_execution_time = 1000.0; // 1μs target
        let efficiency = target_execution_time / self.metrics.avg_execution_time_ns.max(1.0);
        
        efficiency.min(1.0)
    }
    
    /// Get current high-precision time
    fn get_current_time(&self) -> TimePoint {
        #[cfg(target_arch = "wasm32")]
        {
            TimePoint::from_nanos((js_sys::Date::now() * 1_000_000.0) as u64)
        }
        
        #[cfg(not(target_arch = "wasm32"))]
        {
            use std::time::{SystemTime, UNIX_EPOCH};
            let duration = SystemTime::now().duration_since(UNIX_EPOCH).unwrap();
            TimePoint::from_nanos(
                duration.as_secs() * 1_000_000_000 + duration.subsec_nanos() as u64
            )
        }
    }
}

/// Consciousness emergence detection utilities
pub mod emergence {
    use super::*;
    
    /// Detect consciousness emergence patterns
    pub fn detect_emergence(metrics: &ConsciousnessMetrics) -> EmergencePattern {
        if metrics.emergence > 0.8 && metrics.coherence > 0.7 {
            EmergencePattern::HighConsciousness
        } else if metrics.emergence > 0.5 && metrics.coherence > 0.5 {
            EmergencePattern::MediumConsciousness
        } else if metrics.emergence > 0.2 {
            EmergencePattern::BasicAwareness
        } else {
            EmergencePattern::NoEmergence
        }
    }
    
    /// Consciousness emergence patterns
    #[derive(Debug, Clone, PartialEq)]
    pub enum EmergencePattern {
        /// No detectable consciousness
        NoEmergence,
        /// Basic awareness patterns
        BasicAwareness,
        /// Medium-level consciousness
        MediumConsciousness,
        /// High-level consciousness emergence
        HighConsciousness,
    }
}

// WASM bindings
#[cfg(all(target_arch = "wasm32", feature = "wasm"))]
pub mod wasm {
    use super::*;
    use wasm_bindgen::prelude::*;
    
    /// WASM-compatible nano-consciousness system
    #[wasm_bindgen]
    pub struct WasmNanoConsciousness {
        system: NanoConsciousnessSystem,
    }
    
    #[wasm_bindgen]
    impl WasmNanoConsciousness {
        /// Create new WASM system
        #[wasm_bindgen(constructor)]
        pub fn new() -> Result<WasmNanoConsciousness, JsValue> {
            let config = NanoConsciousnessConfig::default();
            let system = NanoConsciousnessSystem::new(config)
                .map_err(|e| JsValue::from_str(&e.to_string()))?;
            
            Ok(WasmNanoConsciousness { system })
        }
        
        /// Get consciousness metrics as JSON
        #[wasm_bindgen]
        pub fn get_metrics_json(&self) -> String {
            serde_json::to_string(&self.system.get_metrics()).unwrap_or_default()
        }
        
        /// Stop the system
        #[wasm_bindgen]
        pub fn stop(&mut self) {
            self.system.stop();
        }
    }
}

#[cfg(test)]
mod tests {
    use super::*;
    
    #[test]
    fn test_system_creation() {
        let config = NanoConsciousnessConfig::default();
        let system = NanoConsciousnessSystem::new(config);
        assert!(system.is_ok());
    }
    
    #[test]
    fn test_emergence_detection() {
        let metrics = ConsciousnessMetrics {
            phi: 0.8,
            emergence: 0.9,
            coherence: 0.8,
            efficiency: 0.7,
            ..Default::default()
        };
        
        let pattern = emergence::detect_emergence(&metrics);
        assert_eq!(pattern, emergence::EmergencePattern::HighConsciousness);
    }
}