Environments for Multi-Agent Systems: First International Workshop, E4MAS, 2004, New York, NY, July 19, 2004, Revised Selected Papers
The modern field of multiagent systems has developed from two main lines of earlier research. Its practitioners generally regard it as a form of artificial intelligence (AI). Some of its earliest work was reported in a series of workshops in the US dating from 1980, revealingly entitled, “D is tributed Artificial Intelligence,” and pioneers often quoted a statement attributed to Nils Nilsson that “all AI is distributed. ” The locus of classical AI was what happens in the head of a single agent, and much MAS research reffects this heritage with its emphasis on detailed modeling of the mental state and processes of individual agents. From this perspective, intelligence is ultimately the purview of a single mind, though it can be amplified by appropriate interactions with other minds. These interactions are typically mediated by structured prools of various sorts, modeled on human conver- tional behavior. But the modern field of MAS was not born of a single parent. A few - searchers have persistently advocated ideas from the fieldofartificiallife(ALife). These scientists were impressed by the complex adaptive behaviors of commu- ties of animals (often extremely simple animals, such as insects or even micro- ganisms). The computational models on which they drew were often created by biologists who used them not to solve practical engineering problems but to test their hypotheses about the mechanisms used by natural systems. In the ar-—cial life model, intelligence need not reside in a single agent, but emerges at the level of the community from the nonlinear interactions among agents. - cause the individual agents are often subcognitive, their interactions cannot be modeled by prools that presume linguistic competence.
1111355037
Environments for Multi-Agent Systems: First International Workshop, E4MAS, 2004, New York, NY, July 19, 2004, Revised Selected Papers
The modern field of multiagent systems has developed from two main lines of earlier research. Its practitioners generally regard it as a form of artificial intelligence (AI). Some of its earliest work was reported in a series of workshops in the US dating from 1980, revealingly entitled, “D is tributed Artificial Intelligence,” and pioneers often quoted a statement attributed to Nils Nilsson that “all AI is distributed. ” The locus of classical AI was what happens in the head of a single agent, and much MAS research reffects this heritage with its emphasis on detailed modeling of the mental state and processes of individual agents. From this perspective, intelligence is ultimately the purview of a single mind, though it can be amplified by appropriate interactions with other minds. These interactions are typically mediated by structured prools of various sorts, modeled on human conver- tional behavior. But the modern field of MAS was not born of a single parent. A few - searchers have persistently advocated ideas from the fieldofartificiallife(ALife). These scientists were impressed by the complex adaptive behaviors of commu- ties of animals (often extremely simple animals, such as insects or even micro- ganisms). The computational models on which they drew were often created by biologists who used them not to solve practical engineering problems but to test their hypotheses about the mechanisms used by natural systems. In the ar-—cial life model, intelligence need not reside in a single agent, but emerges at the level of the community from the nonlinear interactions among agents. - cause the individual agents are often subcognitive, their interactions cannot be modeled by prools that presume linguistic competence.
54.99
In Stock
5
1
Environments for Multi-Agent Systems: First International Workshop, E4MAS, 2004, New York, NY, July 19, 2004, Revised Selected Papers
279
Environments for Multi-Agent Systems: First International Workshop, E4MAS, 2004, New York, NY, July 19, 2004, Revised Selected Papers
279Paperback(2005)
$54.99
54.99
In Stock
Product Details
| ISBN-13: | 9783540245759 |
|---|---|
| Publisher: | Springer Berlin Heidelberg |
| Publication date: | 03/24/2005 |
| Series: | Lecture Notes in Computer Science , #3374 |
| Edition description: | 2005 |
| Pages: | 279 |
| Product dimensions: | 6.10(w) x 9.25(h) x 0.02(d) |
From the B&N Reads Blog