By Max Lungarella, Fumiya Iida, Josh Bongard, Rolf Pfeifer
This Festschrift quantity, released in party of the fiftieth Anniversary of synthetic Intelligence, contains 34 refereed papers written via best researchers within the box of synthetic Intelligence. The papers have been conscientiously chosen from the invited lectures given on the fiftieth Anniversary Summit of AI, held on the Centro Stefano Franscini, Monte Verità, Ascona, Switzerland, July 9-14, 2006.
The summit supplied a venue for discussions on ancient, company, political and academic views of AI; medical alternate at the cutting-edge; speculations in regards to the destiny; contributions by way of researchers from assorted yet comparable components; displays of the newest learn by way of best scientists within the box; in addition to many casual discussions one of the contributors and viewers. the chosen papers mirror the breadth of the subjects provided and mentioned on the summit, masking matters starting from the historical past and customers of AI, to speech attractiveness and processing, linguistics, bionics, and consciousness.
The papers are prepared in topical sections on old and Philosophical concerns; info concept and Quantification; Morphology and Dynamics; Neurorobotics; desktop Intelligence, Cognition, and traditional Language Processing; Human-Like Intelligence: Motivation, feelings, and awareness; robotic systems; and artwork and AI.
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Extra resources for 50 Years of Artificial Intelligence 4850
K. ) GECCO 2003. LNCS, vol. : Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural nets. In: ICML 2006. : Long short-term memory. : Adaptation in Natural and Artificial Systems. : Universal Artificial Intelligence: Sequential Decisions based on Algorithmic Probability. Springer, Berlin (2004) (On J. : Self-Organization and Associative Memory, 2nd edn. : Grundbegriffe der Wahrscheinlichkeitsrechnung. : Three approaches to the quantitative definition of information.
In what follows,the value of any time-varying variable Q at time t (1 ≤ t ≤ T ) will be denoted by Q(t), the ordered sequence of values Q(1), . . , Q(t) by Q(≤ t), and the (possibly empty) sequence Q(1), . . , Q(t − 1) by Q(< t). 34 J. Schmidhuber At any given t the robot receives a real-valued input vector x(t) from the environment and executes a real-valued action y(t) which may affect future inputs; at times t < T its goal is to maximize future success or utility T u(t) = Eμ r(τ ) h(≤ t) , (1) τ =t+1 where r(t) is an additional real-valued reward input at time t, h(t) the ordered triple [x(t), y(t), r(t)] (hence h(≤ t) is the known history up to t), and Eμ (· | ·) denotes the conditional expectation operator with respect to some possibly unknown distribution μ from a set M of possible distributions.
What we need to do is shift our attention away from looking at the end product of intelligence and trying to engineer that towards an understanding how intelligence dynamically arises both within a single individual and within our species. Research on the question of the origins of language is one example in this direction. AI research, due its strong ties to engineering, has always been very pragmatic, directed by societal and industrial needs. This is in principle a good thing and keeps the field relevant.
50 Years of Artificial Intelligence 4850 by Max Lungarella, Fumiya Iida, Josh Bongard, Rolf Pfeifer