GISMO: A Game For Intelligent Simulated Military Opponents

Report discusses GISMO, the Game for Intelligent Simulated MIlitary Opponents, which acts as a testing platform for intelligent simulated force algorithms

Vector Representation for Sub-Graph Encoding to Resolve Entities

AbstractEntity Resolution, i.e., determining whether two mentions refer to the same entity, is a crucial step in combining evidence from multiple sources, and is a problem encountered in a wide-range of areas, from modeling causes of cancer to identifying terrorist networks. Entity mentions are represented by attributes and relations to other entities. However, entity attributes and relations from different sources often use different names and specify relationships differently, which leads to low entity resolution precision and recall. Our contribution is based on our observation that relationships are more reliable than attributes when comparison is based on relational similarity, not exact matches. Traditional graph comparison techniques rely on finding precise matches of a significant part of the graph structure, and require custom comparison functions for every type of attribute and every type of relation. This leads to a system that is difficult to maintain and enhance. We encode entity nodes and their graph neighborhoods in semantic vectors, efficiently indexing the vectors, and calculating vector similarity. Our approach is insensitive to small variations in relational graph representation. Our approach uses simple vector addition, permutation, and difference only, leading to reduced computational complexity. Our preliminary experiment shows 83.05% accuracy

DAIDS: a Distributed, Agent-based Information Dissemination System

The Distributed Agent-Based Information Dissemination System (DAIDS) concept was motivated by the need to share information among the members of a military tactical team in an atmosphere of extremely limited or intermittent bandwidth. The DAIDS approach recognizes that in many cases communications limitations will preclude the complete sharing of all tactical information between the members of the tactical team. Communications may be limited by obstructions to the line of sight between platforms; electronic warfare; or environmental conditions, or just contention from other users of that bandwidth. Since it may not be possible to achieve a complete information exchange, it is important to prioritize transmissions so the most critical information from the standpoint of the recipient is disseminated first. The challenge is to be able to determine which elements of information are the most important to each teammate. The key innovation of the DAIDS concept is the use of software proxy agents to represent the information needs of the recipient of the information. The DAIDS approach uses these proxy agents to evaluate the content of a message in accordance with the context and information needs of the recipient platform (the agent's principal) and prioritize the message for dissemination. In our research we implemented this approach and demonstrated that it provides nearly a reduction in transmission times for critical tactical reports by up to a factor of 30 under severe bandwidth limitations

doi:10.1017/S0269888907001178 Printed in the United Kingdom Implementing logic spreadsheets in LESS

Spreadsheets are a widespread tool for a variety of tasks, particularly in business settings. Spreadsheet users employ a form of programming that, although popular, is highly error-prone and has limited expressiveness. A promising approach to overcome these shortcomings is to augment spreadsheets with logic-based knowledge representation and reasoning (KR&R) functionality. In this paper, we present Logic Embedded in SpreadSheets (LESS), a system which integrates PowerLoom, a highly expressive logic-based KR&R system, with Microsoft (MS) Excel. The design of LESS provides different tiers of functionality that explore trade-offs between direct access to the underlying logic engine and user-friendly support for spreadsheets users. A prototype of LESS was implemented as an MS Excel add-in.