1 Symbiotic Cognitive Systems Mergers and Acquisitions Prototype Jeff Kephart IBM Thomas J Watson Research Center Yorktown Heights, NY, USA

2 Symbiotic Cognitive Systems Human decision making is highly imperfect Tversky and Kahnemann established that well-informed and intelligent humans are subject to surprising cognitive biases and gaps in rationality that can lead to incorrect inferences and suboptimal decisions Aim of SCS is to build multi-agent systems that augment the cognition of individuals or groups of people Enable human-agent teams to collectively perform cognitive tasks better than humans or software agents can alone, especially in the realm of large-stakes decision making First testing ground Cognitive room outfitted with cameras, kinects, microphone arrays, wands, etc. Multi-agent system running on Watson Platform Next ~3 prototypes, including Mergers and Acquisitions

3 Symbiotic Cognitive Room REST API Pub/Sub (ZeroMQ) TRANSCRIPT COMMANDS Proprietary Decision Cogs M&A Language Models Analysis Cogs Visualization Cogs Speech Streamer Speech Xchange Pub-sub Xchange (ZeroMQ) Transcript Displayer Name Resolver M&A Parser Company Graph Displayer Company Info Formatter Website Viewer Company Crawler Attribute Resolver Company DB Speech Server Recorded Audio Implemented Generic Implemented M&A-specific M&A Executor TRANSCRIPT COMMANDS Text to Speech Company Querier Concept Analyzer Ticker Lookup Command Displayer Work Session Capturer SmartSwaps Decision Assistant Lifecycle Manager Scenario Picker All other agents Beacon Collector Discovery Cogs Display Manager TRANSCRIPT, COMMANDS M&A Architecture Mergers and Acquisitions Architecture Speakers Microphones Dante Wands Always-On Framewk (gSpeak) Displays Always-On Framewk (gSpeak)

4 A few points It is vital to keep our work honest by building real systems for real people People: They are not merely non-silicon entities that generate utility functions that drive self-aware systems Systems: We need much more work on understanding systems of self-aware entities The individual agents in our M&A prototype are not self-aware yet I believe this will happen within the next 1-2 years Current focus on basic capabilities rather than self-management But I think we are already exhibiting characteristics of collective self-awareness Self-organization and self-configuration supported via lifecycle manager