Title
Multiple approaches to multiple agent problem solving
Abstract
Tick up any modern operating systems textbook, and you will find sections on distributed processing - the sharing of computation among multiple physical proces­ sors. Familiarity with this literature brings the reader into contact with a jargon filled with the sorts of terms that computer science thrives on: load balancing, net­ work topology, routing strategics, circuit switching, col- lision detection, job migration, and the like. The dis­ cussion centers on how the bits of data that make up a computation can be physically moved among machines. If however, one picks up a book on distributed AI processing1, the papers are very different. Instead of solely seeing the technical jargon of computer science, the pages are full of terms borrowed from sociology: negotiation, interaction, contracts, agreement, organiza­ tion, cohesion, social order, and collaboration, to name but a few. This is not to say that serious AI scientists aren't concerned with the issues in the underlying com- putation, but rather that concentrating on the issues in­ volved in determining how a set of separate agents can give rise to global "intelligent" behavior forces the re­ searcher to go beyond consideration of the computation itself. It is clear that an understanding of how multiple agents can jointly achieve the solution of complex prob­ lems demands insights into the bases of communication and social organization. For example, consider a group of humans working together to build a house. Such an endeavour requires a number of instances of cooperation and organization, in particular, the communication of in­ formation between participants and the organization of the activity so that specialists in one area (electricians, carpenters, architects) can cooperate with those work- ing in another, all organized so as to achieve a shared goal. These same features emerge, however, as a swarm of bees work together to establish a hive. The similar-
Year
Venue
Keywords
1991
IJCAI
social order,col,distributed processing,load balance,social organization,operating system,circuit switched
Field
DocType
ISBN
Computer science,Theoretical computer science,Artificial intelligence
Conference
1-55860-160-0
Citations 
PageRank 
References 
2
0.49
6
Authors
5
Name
Order
Citations
PageRank
James Hendler15750635.78
Danny Bobrow225042108.08
Les Gasser31601261.00
Carl Hewitt4163.87
Marvin Minsky5407263.42