G E R A C CONSORTIUM T H E logica EUCLID RTP 6.1 The GRACE Consortium Objective: To accelerate the application of AI techniques and advanced HCI and software engineering in C 3 I workstations

G E R A C CONSORTIUM T H E logica Size of EUCLID RTP Mecus of which company investment 24% 125 man-years 5 years duration - to September nations, 18 companies

G E R A C CONSORTIUM T H E logica EUCLID RTP 6.1 Participants EUCLID RTP 6.1 Management Group UK DERA DenmarkFranceItalyNetherlandsNorwaySpain Logica TERMA CSC Data- centralen CRI Matra Steria Datamat Marconi Origin Signaal NLR TNO-FEL KOG SINTEF NDRE INDRA CESAT The GRACE Consortium Grouping for Research into Advanced C3I for Europe

G E R A C CONSORTIUM T H E logica Achieving RTP 6.1 objectives demonstrate key AI and HCI methods and tools applied to C3I systems define and implement a workstation architecture able to accommodate existing and emerging methods and tools and to forge new standards evaluate using domain simulations of land tactical and naval scenarios encourage European collaboration in C 3 I R&D

G E R A C CONSORTIUM T H E logica EUCLID RTP 6.1 demonstrator Automated Report Analysis Army Decision Support, Planning and Tasking Wide Area Picture Naval Decision Support, Planning and Tasking CABLE C 3 I Application Building Environment - An environment for developing multi-agent systems Human-Computer Interface Framework

G E R A C CONSORTIUM T H E logica Report s Scenarios, simulation & testing Army simulator Naval simulator Test Harness Report s Evaluation metrics Naval Scenario Army Scenario ARA Army DSPT WAP Naval DSPT CABLE HCI Framework EUCLID RTP 6.1 Demonstrator

G E R A C CONSORTIUM T H E logica User facilities Uses Artificial Intelligence Give a military benefit Has a user interface

G E R A C CONSORTIUM T H E logica Command tasks supported Automated Report Analysis –Message handling and report analysis –Wide Area Picture compilation Army Decision Support, Planning and Tasking –Terrain analysis –Course Of Action construction –Manoeuvre and Fire Support planning Naval Decision Support, Planning and Tasking –Tactical Threat evaluation –Anti-Surface Warfare planning –Engagement Coordination

G E R A C CONSORTIUM T H E logica Automated Report Analysis Message Handler Wide Area Picture Compiler Wide Area Picture Reports from Simulators To DSPT Reduce the volume of data and ensure important information is extracted and prioritised. Parse structured messages using Yacc++. Knowledge-based analysis of keywords and content. Common Object Model based on ATCCIS for WAP. Clustering techniques to identify groupings. Fuzzy logic inferencing to identify behaviours.

G E R A C CONSORTIUM T H E logica Army Decision Support, Planning & Tasking Terrain Analysis Course of Action Construction Wide Area Picture Plan quicker than the enemy. Cope with complex constraints. Investigate more alternatives. Analyse terrain to identify Mobility Corridors. Compare own and enemy Courses Of Action Combine knowledge- and constraint-based planning. Simulated annealing for fire support planning. Tools for ORBAT browsing and working with time. Manoeuvre Planning Fire Support Planning

G E R A C CONSORTIUM T H E logica Naval Decision Support, Planning & Tasking Engagement Coordination Planning Wide Area Picture Time-critical planning. Time, space, resource constraints. Investigate more alternatives. Knowledge-based recognition of enemy’s plan. Constraint-based manoeuvre planning. Anytime analysis of routes and intervisibility. Combined uncertainty- and constraint-based planning Case-based retrieval of relevant existing plans. Tactical Threat Evaluation Anti-Surface Warfare Planning

G E R A C CONSORTIUM T H E logica Multi-agent architecture Intelligent agents –logical next step combining OO and KBS –autonomous agents –inter-agent communication Benefits of a multi-agent system –cope with complexity –intuitive: analogy with human organisations –heterogeneous, plug and play, supports integration –transparent distribution across a network –flexibly partition tasks between humans and machines –emergent behaviour

G E R A C CONSORTIUM T H E logica CABLE –C 3 I Application Building Environment –software to develop and run multi-agent applications CORBA-compliant –based on ORBIX –inter-agent communication using IDL Specification, design and implementation of multi- agent systems –analogy with human organisations

G E R A C CONSORTIUM T H E logica C 3 I Application Building Environment Terrain features Mobility corridors Course of action Own forces situation Agent Computer 1 Agent Computer 2 CABLE HCI Framework Agent: an autonomous intelligent software entity Agents communicate Cooperative working Agents can be distributed Based on CORBA, ORBIX, IDL, STL Based on ILOG Views

G E R A C CONSORTIUM T H E logica Continuous, timely planning Plan Commit Act Communicate Re-plan New info. AI planning Other processes Other processes Other processes Request & Deadline Cost of change Cost/quality trade-off Anytime algorithms Resource agent Resource request Resource

G E R A C CONSORTIUM T H E logica Groupworking of humans and agents Group working controller Agents User interface Computer

G E R A C CONSORTIUM T H E logica Conclusions Support heterogeneous AI techniques Integrate using a multi-agent architecture Common representation of military concepts Architecture & techniques used in 10 projects, £2M More information –paper, Web site: –for UK: Final Report, CD-ROM, FTP server