Bryson, J. J., Lowe W. & Stein, L. A. (2000) Hypothesis Testing for Complex Agents, NIST Workshop on Performance Metrics for Intelligent Systems, A. M. Meystel & E. R. Messina (eds.) 233-240. NIST. Home/Search Document Details and Download
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Distributing a Mind on the Internet: The World-Wide-Mind - Humphrys (2001) (2 citations) (Correct)
....because they are not convinced by each other s tests. In any branch of AI, the existence of objective tests that cannot be argued with tends to provide a major impetus to research. This is one of the reasons for the popularity of rule based games in AI, and, more recently, robotic soccer [31] [9] suggests the setting up of a website repository of standard tests for adaptive behavior. The WWM goes further than that, where the standard test worlds need not even be installed, but are run remotely. And the WWM goes further to support testing. By its emphasis on 3rd party experimentation, ....
Bryson, J.; Lowe, W. and Stein, L.A. (2000), Hypothesis Testing for Complex Agents, NIST Workshop on Performance Metrics for Intelligent Systems.
The Implementation of a Distributed Hierarchical Mind on.. - O'Connor, Humphrys (Correct)
....holds for test minds as well. In practice, many results presented at conferences refer to experiments that cannot easily be duplicated by anyone else. This makes it difficult to demonstrate that one system is better than another. This slows progress in the field. This point is strongly made in [1, 2]. 1.4 Making it easy for any AI researcher to publish One of the unique features of this scheme is to make it as easy as possible for agent authors to publish their minds and worlds online for re use remotely. In this way, the WWM is best compared to the Web infrastructure, which made it ....
J. Bryson, W. Lowe and L.A. Stein. Hypothesis Testing for Complex Agents. In Proc. Workshop on Performance Metrics for Intelligent Systems. NIST, August 2000.
Lowering the Entry Level: Lessons from the Web and the.. - O'Leary, Humphrys (Correct)
....skills in databases, networks, etc. But sub symbolic AI is driven by unique individuals whose work is often not easily replicable by anyone else. Often, few people may fully understand the algorithm. Indeed, one of the problems with this field is how few people try out each other s algorithms [2] [3], 5] In general, if the author does not put his algorithm online then no one will. 4. Businesses will just hire network specialists to construct their web services. But individual sub symbolic AI researchers will not or cannot. They must do it alone or not at all. 5. An important consequence ....
Bryson, J.; Lowe, W. and Stein, L.A. (2000), Hypothesis Testing for Complex Agents, NIST Workshop on Performance Metrics for Intelligent Systems.
Parallel Simulation of a Stochastic.. - Bouzid, CHEVRIER, .. (2001) (Correct)
....model, we have decided to use it in the design and implementation of a mobile robots simulator. This choice has been made since the development of these applications is a good framework to test and evaluate di erent agent and multi agent interaction mechanisms (coordination, cooperation, [4]. Our application consists then in simulating the motions of a set of robots in a structured environment, such those we meet in real buildings. Figure 4 shows an example of system con guration we want to simulate. In this gure, we have four robots placed in the corridors limited by the di erent ....
J. Bryson, W. Lowe, and L. A. Stein. Hypothesis testing for complex agents. In Workshop on Performance Metrics for Intelligent Systems, NIST, 2000.
The Insufficiency of Formal Design Methods - The Necessity Of (2004) Self-citation (Bryson) (Correct)
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Bryson, J. J., Lowe W. & Stein, L. A. (2000) Hypothesis Testing for Complex Agents, NIST Workshop on Performance Metrics for Intelligent Systems, A. M. Meystel & E. R. Messina (eds.) 233-240. NIST.
The Insufficiency of Formal Design Methods - The Necessity Of Self-citation (Bryson) (Correct)
No context found.
Bryson, J. J., Lowe W. & Stein, L. A. (2000) Hypothesis Testing for Complex Agents, NIST Workshop on Performance Metrics for Intelligent Systems, A. M. Meystel & E. R. Messina (eds.) 233-240. NIST.
Distributing a Mind on the Internet: The World-Wide-Mind - Humphrys (2001) (2 citations) (Correct)
No context found.
Bryson, J.; Lowe, W. and Stein, L.A. (2000), Hypothesis Testing for Complex Agents, NIST Workshop on Performance Metrics for Intelligent Systems.
The Implementation of a Distributed Hierarchical Mind on.. - O'Connor, Humphrys (Correct)
No context found.
J. Bryson, W. Lowe and L.A. Stein. Hypothesis Testing for Complex Agents. In Proc. Workshop on Performance Metrics for Intelligent Systems. NIST, August 2000.
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