I've been trying to get this story out for over a year.
I wouldn't call this one "wild speculation" ala Skunks Works though. I just didn't link in the endless resources. I was unsure of how much space I had, plus I wrote this in about 4.5 hours thinking I had to get it in while it was still dark late Friday night. I wonder if this could get moved if I can prove this isn't wild speculation...
I'm limited on time again tonight but I'll do a crash course in AGI resource:
Programs
Architectures for Cognitive Information Processing (ACIP)
Mission:
ACIP will develop, implement, and demonstrate computational architectures that will:
1. enable cognitive processing capabilities;
2. provide an efficient embedded, real-time, dynamic, data-intensive 3.cognitive processing infrastructure; and
realize embedded, real-time cognitive implementations and applications that enable an overall goal of “systems that know what they are doing.”
www.darpa.mil...
![]()
Following the above diagram they're saying it should be active by 2011.
Biologically-Inspired Cognitive Architectures (BICA)
The goal of the BICA program is to develop integrated psychologically-based and neurobiology-based cognitive architectures that can simulate human cognition in a variety of situations. In Phase I of the program, performers will develop theories of cognition, map cognitive functions to neurological structures, and design psychologically-based and neurobiologically-based cognitive architectures. In a subsequent phase of the program, performers will implement and evaluate computational models of the architectures designed in Phase I. In Phase I, a Cognitive Decathlon (i.e., tests of major cognitive functions) that will be used to evaluate the computational models implemented in Phase II will also be developed.
www.darpa.mil...
Integrated Learning (IL)
The Integrated Learning program seeks to achieve revolutionary advances in Machine Learning by creating systems that opportunistically assemble knowledge from many different sources in order to learn.
www.darpa.mil...
Bootstrapped Learning (BL)
The goal of Bootstrapped Learning (BL) is to develop an “electronic student” that can be taught complex concepts incrementally over a very wide range of problem domains – without designing domain knowledge into algorithms. BL will:
1. learn a wide range of performance tasks based on abstracted Natural Instruction (with zero reprogramming between performance tasks); and
2. compare with human learning, given the “same” instructional materials, and the “same” background knowledge. (Both senses of “same” are made precise by this program.)
www.darpa.mil...
Personalized Assistant that Learns (PAL)
The mission of the PAL program is to radically improve the way computers support humans by enabling systems that are cognitive, i.e., computer systems that can reason, learn from experience, be told what to do, explain what they are doing, reflect on their experience, and respond robustly to surprise. More specifically, PAL will develop a series of prototype cognitive systems that can act as an assistant for commanders and staff. Successful completion of this program will usher in a new era of computational support for a broad range of human activity.
www.darpa.mil...
The PAL program above is already a success. This should dispell their goals as mere speculation, and it should be pointed out that each AI/AGI success will lead to faster turnaround time on everything else.
They changed the title but it's not reflected in the DARPA site yet:
We've had some great success. This cognitive program I told you about is actually showing that it is learning, and it is learning in a very difficult environment. This is the program Stanford Research runs for us.
NS: Which program is this?
TT: It's PAL [Perceptive Assistant that Learns].
blog.wired.com...
Learning Applied to Ground Robots (LAGR)
The goal of the LAGR program is to develop a new generation of learned perception and control algorithms for autonomous ground vehicles, and to integrate these learned algorithms with a highly capable robotic ground vehicle.
www.darpa.mil...
Real-World Reasoning (REAL)
The objective of the REAL-WORLD REASONING (REAL) program is to explore and develop foundations, technology, and tools to enable effective, practical automated reasoning of the scale and complexity required for computers to perform complex tasks in the real world requiring intelligence.
www.darpa.mil...
Self-Regenerative Systems (SRS)
The SRS program aims to develop technologies enabling military systems to learn, regenerate themselves, and automatically improve their ability to deliver critical services.
www.darpa.mil...
Transfer Learning (TL)
The goal of the Transfer Learning Program solicited by this BAA is to develop, implement, demonstrate and evaluate theories, architectures, algorithms, methods, and techniques that enable computers to apply knowledge learned for a particular, original set of tasks to achieve superior performance on new, previously unseen tasks. This goal reflects the observation that key cognitive abilities of humans include the abilities to generalize, abstract, reuse, reorganize and apply knowledge learned in previous life experiences to novel situations.
www.darpa.mil...
Program for Artificial Intelligence Applications to Maintenance and Training
This program has three principal goals. First, the program will apply AI technology to real Air Force problems in the maintenance aiding and training domains through an integrated system. The second goal is to establish a capability for the conduct and examination of artificial intelligence research. The third goal will be to assist/consult with other Air Force organizations in the development and exploitation of the evolving AI technology.
stinet.dtic.mil...
Information Fusion and Artificial IntelligenceProgram:
"The program concentrates on research needed to develop large-scale intelligent systems that can address practical Air Force needs."
www.afosr.af.mil...
NASA's "Intelligent Archives:
"Beyond efficient storage and access, the goal is to enable intelligent data understanding and utilization through modeling realistic virtual entities with predictive capabilities. The objective is to formulate ideas and concepts and to provide recommendations that lead to research by the computer science community in the near-term, prototyping to demonstrate feasibility in the mid-term, and operational implementation in the period from 2012 to 2025. "
daac.gsfc.nasa.gov...
Stated goals of NASA's I.A.:
"self-awareness"
"adapting to events and anticipating user needs"
"Continuously mining archived data searching for hidden relationships and patterns"
"Identifying new data sources and information collaborators, and using available resources judiciously"
"aware of its own data content and usage"
"can extract new information from data Holdings"
"large scale data mining"
"acting on information discovered"
"extracting new information from its data holdings"
"coordination between intelligent archives and intelligent sensors"
"advanced weather prediction"
daac.gsfc.nasa.gov...
"These "fourth-generation" technologies will bring attributes of human cognition to bear on the problem of reconstituting systems that suffer the accumulated effects of imperfect software, human error, and accidental hardware faults, or the effects of a successful cyber attack."
"new fourth generation technologies will draw on biological metaphors such as natural diversity and immune systems to achieve robustness and adaptability; the structure of organisms and ecosystems to achieve scalability; and human cognitive attributes (reasoning, learning and introspection) to achieve the capacity to predict, diagnose, heal and improve the ability to provide service."
fs2.fbo.gov...
"Desired capabilities include self-optimization, self-diagnosis, "Cognitive immunity" and self-healing."
"As we move to an increasingly network-centric military, the vision of intelligent, cooperative computing systems responsible for their own maintenance is more relevant than ever."
fs2.fbo.gov...
"This research thrust area will show automated cyber immune response and system regeneration. The technical approach will include biologically-inspired response strategies, machine learning, and cognitively-inspired proactive automatic contingency planning."
dtsn.darpa.mil...
"Transforming the network from a weapons support system into a weapon itself, that is the thread that runs through the programs that we pursue."
"we must enable the network to defend itself against those adversaries who seek to deny us the use of this valuable combat resource."
www.darpa.mil...
There's more but I'm not at home.
[edit on 31-5-2007 by IgnoranceIsntBlisss]




